Model Jobs - Jeddah Saudi

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Researcher - Multilingual Data based in Saudi Arabia.<br><br>Join a cutting-edge research environment where multilingual AI innovation meets real-world impact. In this role, you will drive the development of high-quality multilingual datasets and research strategies that power next-generation language models across diverse languages and domains. Working at the intersection of research and engineering, you will transform scientific discoveries into scalable production solutions while contributing to state-of-the-art advancements in natural language processing. This position offers the opportunity to publish influential research, collaborate with highly skilled experts, and shape the future of multilingual AI in a fast-paced, innovation-driven environment. If you are passionate about solving complex language challenges and advancing machine learning research, this is an opportunity to make a meaningful global impact.<br><br>Accountabilities<br><br>Design and conduct research focused on multilingual datasets, including data collection, filtering, deduplication, quality assessment, and optimization. Develop innovative strategies for low-resource and long-tail languages through advanced sampling, data augmentation, and curriculum learning techniques. Research and improve multilingual large language models by enhancing cross-lingual transfer, alignment, robustness, and representation learning. Build, maintain, and refine multilingual evaluation benchmarks to measure model quality and performance across languages. Collaborate closely with machine learning engineers and researchers to influence training pipelines, model architectures, and production deployment strategies. Publish research findings at leading AI and NLP conferences while contributing to open-source initiatives when appropriate. Translate research outcomes into practical improvements that enhance production-ready AI systems.<br><br>Requirements<br><br>Advanced background in Natural Language Processing, Machine Learning, Artificial Intelligence, or a closely related field. Proven research experience in multilingual or cross-lingual language modeling with publications at recognized conferences or journals such as ACL, EMNLP, Neur IPS, ICML, or ICLR. Hands-on experience working with large-scale multilingual text datasets and modern machine learning workflows. Strong understanding of multilingual tokenization, vocabulary design, transfer learning, multilingual representation learning, dataset quality assessment, filtering techniques, and bias mitigation. Proficiency in Python and modern deep learning frameworks such as PyTorch or JAX. Ability to work independently, manage research initiatives, and deliver high-quality results in a fast-moving startup environment. Experience with low-resource languages, non-Latin scripts, multilingual evaluation benchmarks (XTREME, FLORES, TyDi QA), open-source NLP projects, or large language model training is considered a strong advantage.<br><br>Benefits<br><br>Competitive compensation package. Meaningful equity opportunity within an early-stage, high-growth company. Significant ownership over research direction and technical decision-making. Opportunity to balance academic research with real-world production impact. Access to large-scale multilingual datasets, modern AI infrastructure, and rapid experimentation cycles. Collaborative environment that values innovation, research excellence, and continuous learning. Opportunity to publish at leading international AI and NLP conferences while contributing to impactful open-source initiatives.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>Requirements And Benefits<br><br>Educational qualifications<br><br>A Master's Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields. Bachelor's degree is accepted if only candidate has 5 years of experience in the field<br><br>Academic and/or Professional Experience<br><br>Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Compensation:<br><br>Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr. Because payment is per task, a faster pace raises your effective hourly rate.<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. - Influence how future AI models understand and communicate in your field of expertise

JOB SUMMARYLead the origination, development, and delivery of finance transformation engagements for Energy, Natural Resources, and related clients across Riyadh and Al Khobar. Support CFO agendas across finance strategy, target operating model design, process optimisation, governance, data, technology enablement, financial close and reporting, planning, analytics, and cost performance. The role includes building trusted C-suite relationships, leading large and complex transformation programs, driving business development, and contributing to the growth of the Finance Transformation practice in the Saudi market.<br>KEY DUTIES & RESPONSIBILITIESLead large and complex finance transformation engagements for Energy and Natural Resources clients. Advise CFOs and finance leaders on finance transformation strategy, target operating model design, and transformation roadmaps aligned to business priorities and sector dynamics. Bring insights and design transformation initiatives across core finance activities. Lead technology-enabled finance transformations, including ERP, EPM, reporting, analytics, and data solutions, from strategy through value realisation. Advise clients on global best practices, digital finance, automation, and process harmonisation opportunities. Lead executive workshops, steering committees, and senior stakeholder discussions with CFOs, Finance Directors, and business leaders. Oversee programme economics, planning, quality assurance, risk management, and resolution of critical delivery issues across a portfolio of engagements. Drive business development activities, including account planning, client relationship building, proposal development, pitch delivery, and market-facing thought leadership. Coach and develop Associate Directors, Managers, and wider team members, while helping shape and scale the Finance Transformation practice across Saudi Arabia.<br>QUALIFICATIONSBachelor’s degree in Finance, Accounting, Economics, or a related field. Professional qualification such as CA, CIMA, CFA, or equivalent. Master’s degree in Business Administration (MBA) or a related field is preferred. Other relevant professional qualifications may be considered an advantage.<br>YEARS OF EXPERIENCE12+ years of relevant experience in consulting and/or the Energy & Natural Resources (ENR) industry. Strong experience in large-scale transformation programme delivery. Experience serving Energy, Natural Resources, Utilities, Chemicals, or adjacent asset-heavy sectors. Proven track record in business development, proposal conversion, and senior client relationship management. Big Four or top-tier consulting experience is preferred.<br>COMPETENCIESStrong understanding of finance functions within Energy, Natural Resources, Utilities, Chemicals, and other capital-intensive and operationally complex environments. Finance strategy and Target Operating Model design. Financial close, consolidation, and reporting transformation. Planning, budgeting, forecasting, and Enterprise Performance Management (EPM). Cost optimisation, profitability analysis, and performance reporting. Finance process redesign, controls optimisation, and governance enhancement. Finance data and KPI framework design. ERP and EPM transformation. Digital finance, automation, and AI-enabled transformation. Programme leadership and senior stakeholder management. Commercial acumen, account development, and service offering development.<br>SKILLSStrong leadership and team development capabilities. Excellent communication and executive presentation skills in English; Arabic is preferred. Strong analytical, problem-solving, and structured thinking capabilities. Ability to influence C-suite stakeholders with confidence and credibility. Strong commercial awareness and client relationship management skills. Strong storyboarding and presentation skills. Ability to lead multidisciplinary teams across finance, technology, and transformation workstreams.

Enterprise / Data Architect<br>Location: Jeddah, Saudi<br>Experience : 10+ Years<br> Key Responsibilities Architecture Ownership Own and govern the end-to-end Data Lakehouse architecture, ensuring consistency across data ingestion, storage, processing, consumption, and governance layers. Define and validate the target state Medallion Architecture (Bronze, Silver, Gold) in alignment with enterprise architecture principles. Ensure robust architectural patterns for batch, near real-time, and historical data processing. Platform & Technology Alignment Ensure architectural consistency and seamless integration across:Cloudera Data Platform Teradata Enterprise Data Warehouse Informatica (ETL, Data Quality, Metadata) Denodo (Data Virtualization & Consumption) Review and approve low-level designs, data flows, and integration patterns across platforms. Phase 1 Remediation Governance Perform architectural assessment and validation of Phase 1 deliverables, including:Data pipelines Logical and physical data models Gold layer aggregations (Teradata) Identify architectural gaps, anti-patterns, and misalignments. Define remediation and rebuild strategies aligned with target architecture. Enterprise Data Modeling & Standards Govern the implementation of logical and physical data models aligned to:FSLDM (Financial Services Logical Data Model) FSAS aggregation standards Ensure correctness, consistency, and reusability of enterprise and subject-area models. Validate aggregation logic, hierarchies, and reporting readiness. Governance, Compliance & Security Ensure alignment with:NDMO (National Data Management Office) NDI (National Data Index)data classification, privacy, and security standards Oversee metadata, lineage, data quality, and auditability design. Ensure architecture supports regulatory reporting, traceability, and reconciliation requirements. Performance, Scalability & Resilience Define architecture patterns for:High availability (≥99.9% uptime) Horizontal scalability Disaster recovery and point-in-time restore Review and guide performance tuning strategies for ingestion, transformation, and reporting workloads. Stakeholder & Governance Engagement Act as the primary architectural interface with IT, Data Governance, Security, and Business teams. Participate in architecture review boards, design walkthroughs, and governance forums. Clearly articulate architectural decisions, trade-offs, and impacts to senior stakeholders. Required Skills & Experience Technical Expertise Strong experience in Enterprise Data Architecture, including:EDW modernisation Data Lake / Lakehouse architectures Medallion architecture patterns Deep understanding of BFSI data domains and enterprise reference models:FSLDMFSASHands-on architectural exposure to:Cloudera CDP (HDFS, Spark, Hive, Kafka) Teradata Vantage Informatica (ETL)- BDMInformatica Power Exchange (CDC) Kafka Denodo Governance & Compliance Proven experience designing governance-driven architecture:Metadata and lineage Data quality frameworks Security, masking, and encryption Strong understanding of regulatory and compliance-driven data platforms. Non-Functional Design Expertise in:Performance and workload optimization Scalability and capacity planning Resilience, backup, and recovery design Soft Skills Strong communication and stakeholder management skills. Ability to lead cross-vendor and cross-functional technical discussions. Governance mindset with pragmatic delivery orientation. Experience & Qualifications15+ years of experience in data architecture roles, preferably in large BFSI organizations. Proven track record of large-scale data platform transformation programs. Experience working in hybrid delivery models with onsite and offshore teams. Architecture certification(s) or advanced data engineering background preferred..

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $200/hr. Because payment is per task, a faster pace raises your effective hourly rate.

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Up to $200/hr equivalent, depending on level and pace. Tasks are estimated at :30 hours each; you set your own schedule.

Sourcing Connections is looking for an exceptional Supply Chain Director to lead the next phase of transformation for a fast-growing, multi-site trading business operating in a commodity-linked market.<br>The Opportunity This is a rare leadership mandate: full ownership of procurement, logistics, and warehousing across a hub-and-spoke network of three main sites plus satellite locations. You'll modernize both the physical and informational flow of goods — moving the business from monthly dashboards and manual checks to real-time visibility, while the organization is mid-migration from SAP to Microsoft Dynamics. If you thrive on building leaner operating models, leading integrated teams, and giving commercial teams the answers they need in real time (not an hour later) — this role is built for you.<br>What You'll Own Operating Model — Assess and redesign the in-house vs. 3PL/4PL balance across fleet and warehousing within your first few months Team Leadership — Integrate the Logistics Manager and Procurement Manager into one coherent, high-performing function Inventory Management — Set safety stock policy for commodity-price-indexed products; reduce slow-moving and dead stock Digital Transformation — Drive the shift from monthly reporting to real-time dashboards and portals; strong general ERP fluency required (Dynamics experience a plus, not essential) Commercial Partnership — Work hand-in-glove with sales and commercial teams, cutting customer response times dramatically and supporting a dynamic annual sales plan Risk & Resilience — Build a lead-supplier-plus-backup-supplier strategy to mitigate geopolitical and port disruption risk Strategy & Governance — Develop a comprehensive supply chain strategy (operating model, governance, digital roadmap) for executive sign-off within 12 months Compliance — Stay ahead of evolving Saudi Arabian regulatory requirements Investment Ownership — Manage the systems/capability budget and own CAPEX cases for warehousing, subject to executive approval<br>Who We're Looking For A hands-on, commercially minded supply chain leader who has operated in complex, multi-site environments, is comfortable owning both strategy and execution, and can bring structure and digital rigor to a business ready to scale. Fluency in both English and Arabic is mandatory for this role.<br>To apply, please send your CV directly to lelkhodja@sourcingconnections.com

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Up to $200/hr equivalent, depending on level and pace. Tasks are estimated at :30 hours each; you set your own schedule.

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Effort estimate<br><br>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.

Job Description: Senior Mechanical Engineer**Location:** Jeddah, Saudi Arabia**Experience:** 10+ Years**Start Date:** Immediate<br>### Overview / <br>We are seeking an experienced Senior Mechanical Engineer with strong design capabilities and proven expertise in delivering complex and high-rise building projects. The successful candidate must be fully proficient in BIM workflows, familiar with the ACC (Autodesk Construction Cloud) platform, and well-versed in Saudi Building Codes and local authority requirements.<br>### Key Responsibilities / <br>- Lead the mechanical design of large-scale and high-rise building projects across HVAC, plumbing, firefighting, and mechanical systems.- Develop, review, and approve design documents including calculations, schematics, load calculations, equipment sizing, and system layouts.- Ensure all mechanical systems comply with Saudi Building Code (SBC), ASHRAE, NFPA, and local authority regulations.- Coordinate with multidisciplinary teams including architecture, structure, electrical, and infrastructure.- Manage BIM model development, clash detection, and coordination using Revit, Navisworks, and related tools.- Use ACC for model sharing, document control, and collaborative coordination with project teams.- Prepare and review technical reports, specifications, and tender documentation.- Support construction and site teams by reviewing RFIs, material submittals, shop drawings, and providing expert technical guidance.- Mentor junior mechanical engineers and ensure all design outputs meet project quality standards.<br> ### Qualifications & Requirements / <br>- Bachelor’s degree in Mechanical Engineering; Master’s degree is an advantage.- Minimum of 10 years of mechanical design experience, including high-rise or complex building projects.- Strong understanding of SBC, local authority requirements (Civil Defense, Municipality, Utilities), and international standards.- Advanced proficiency in BIM tools (Revit, Navisworks) and ACC platform.- Strong experience in HVAC design, plumbing systems, firefighting systems, and mechanical calculations software.- Strong communication, documentation, and coordination skills.- Fluent in English; Arabic language skills are an advantage.- Available to join immediately.

Egis is an international player active in architecture, consulting, construction engineering and mobility services. We create and operate intelligent infrastructures and buildings that respond to the climate emergency and contribute to more balanced, sustainable and resilient territorial development. Operating in 100 countries, Egis puts the expertise of its 19,500 employees at the service of its clients and develops cutting-edge innovations accessible to all projects. Through its wide range of activities, Egis is a key player in the collective organisation of society and the living environment of citizens all over the world.<br><br>With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group’s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis has long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers.<br><br><br><br>Job Description<br><br>We're looking for an experienced and visionary Senior BIM Coordinator to join our dynamic team in Riyadh, Saudi Arabia. In this pivotal role, you will lead the development, coordination, and optimization of Building Information Models (BIM) across multidisciplinary projects, ensuring seamless integration and collaboration among all stakeholders. You will be instrumental in establishing BIM excellence, driving innovation in our coordination processes, and mentoring team members to adopt industry best practices. Your analytical mindset, organizational prowess, and collaborative spirit will be essential in delivering high-quality BIM solutions that meet contractual obligations and exceed project expectations.<br><br>Develop, manage, and maintain comprehensive BIM models using industry-standard software and protocols, ensuring accuracy and compliance with project specifications Lead clash detection and resolution initiatives between structural, MEP, and architectural systems, documenting findings and coordinating solutions with relevant teams in a timely manner Establish, enforce, and continuously improve BIM standards, naming conventions, and modeling guidelines across all projects to ensure consistency and quality Coordinate effectively with architects, engineers, contractors, and other stakeholders to ensure BIM model accuracy, alignment with project requirements, and adherence to Saudi Arabian building codes and regulations Generate technical documentation, construction drawings, schedules, and visualizations from BIM models to support construction teams and project delivery Perform comprehensive quality assurance reviews on BIM models to verify compliance with project specifications, building codes, and contractual deliverables Manage model coordination meetings, track issues, implement corrective actions, and maintain transparent communication with all project teams Mentor and support junior BIM coordinators and team members in adopting BIM best practices, fostering a culture of continuous learning and improvement Collaborate with project managers to ensure BIM deliverables meet contractual obligations, timelines, and quality standards Stay current with emerging BIM technologies, industry advancements, and evolving standards to drive innovation within the organization Manage model federation, integration workflows, and complex coordination scenarios across multiple disciplines Contribute to the development and refinement of organizational BIM strategies and processes<br><br><br>Qualifications<br><br>10+ years of professional experience in BIM coordination, structural engineering, MEP coordination, or related roles within the architecture, engineering, and construction industry Advanced proficiency in Autodesk Revit and Navisworks or equivalent BIM software platforms Demonstrated expertise in BIM coordination workflows, clash detection, model federation, and multidisciplinary integration Strong knowledge of BIM standards and protocols (ISO 19650 or similar frameworks) Solid understanding of structural engineering principles, MEP systems, building codes, and construction practices Proficiency in 3D visualization, rendering, and model presentation techniques Experience with project management tools and document control systems Excellent analytical and problem-solving skills with meticulous attention to detail Strong organizational abilities and proven capability to manage multiple complex projects simultaneously Excellent communication and interpersonal skills with demonstrated ability to coordinate effectively across multidisciplinary teams Leadership and mentoring experience with the ability to guide and develop junior team members Experience with construction sequencing, scheduling, and contract management Familiarity with Saudi Arabian building standards, regulations, and local construction practices (preferred) BIM-related certifications or professional credentials (preferred) Proficiency in additional BIM tools such as Solibri, Synchro, or similar platforms (preferred)<br><br><br>Additional Information<br><br>Engineering Diploma

Develop and maintain financial models and analyses across revenues, costs, and funding requirements Support development of revenue streams, pricing logic, and business cases for City services Conduct economic and financial analysis, including benchmarking, cost structures, and impact assessments Support definition of funding requirements and phasing, including scenario analysis Provide financial inputs into strategy, operating model, and business planning Track and validate assumptions, data inputs, and methodologies across workstreams Coordinate with internal teams to gather inputs and ensure consistency of financial outputs Support high-level design of finance governance, system and data requirement planning, including inputs on data structures, reporting processes and system needs<br><br>Requirements<br><br>Bachelor's degree in Finance, Economics, Accounting, Business Administration, Engineering, or a related field; a master's degree or relevant professional certification is an advantage Proven experience in financial analysis, financial modeling, business planning, or corporate finance within complex organizations or large-scale development projects6+ relevant experience in financial planning and analysis, corporate finance, investment analysis, consulting, or economic analysis

Company Description Wadi Walk | وادي ووك is a growing organization focused on delivering high-quality built environments in Riyadh. The company emphasizes modern design, efficient construction processes, and the integration of advanced technologies such as Building Information Modeling (BIM). At Wadi Walk, teams collaborate across disciplines to ensure accurate planning, coordination, and execution of projects. The work environment encourages professional development, attention to detail, and innovation in architectural and construction practices. Role Description The BIM Modeler is a full-time, on-site role based in Riyadh. The role involves developing and maintaining detailed BIM models for architectural, structural, and MEP elements in coordination with project teams. Day-to-day tasks include translating design concepts and construction drawings into accurate 3D models, updating models to reflect design changes, and ensuring consistency with project standards. The BIM Modeler will collaborate with architects, engineers, and contractors to resolve coordination issues, support clash detection, and prepare model-based documentation and reports. The role also includes organizing model files, following established workflows, and contributing to continuous improvement of BIM processes. Qualifications Candidates should possess strong skills in Building Information Modeling (BIM) and experience working as a Modeler in design or construction projects. Candidates should possess knowledge of Architecture and the ability to interpret and translate design intent into coordinated BIM models. Candidates should possess experience with Mechanical, Electrical, and Plumbing (MEP) modeling and coordination within multidisciplinary project environments. Candidates should possess the ability to read, understand, and produce accurate Construction Drawings based on project specifications and standards. Proficiency in BIM authoring tools (such as Revit or similar software) and familiarity with common CAD applications. Diploma or bachelor’s degree in Architecture, Engineering, or a related field. Strong attention to detail, organizational skills, and the ability to work collaboratively in an on-site project team. Good communication skills in English; Arabic language skills are an advantage. Previous experience in Riyadh or regional construction projects is beneficial.

About Esposa Group Founded in 1987, Esposa Group is the most established bridal and evening fashion group in the region, with boutiques across Lebanon, Dubai, Saudi Arabia, and Qatar. Renowned for craftsmanship, creativity, and innovation, Esposa offers a curated selection of Lebanese and international designers, delivering a refined and memorable experience to every bride. At Esposa, a gown is more than couture; it is a love story told through design, emotion, and craftsmanship.<br>About the Role The Bridal Consultant is responsible for guiding brides-to-be in selecting their perfect wedding attire and accessories, ensuring a personalized and memorable shopping experience. This role involves understanding each client's vision, providing expert advice on bridal fashion, and coordinating with the boutique team to fulfil client needs efficiently.<br>Key Responsibilities Client Engagement Customer Satisfaction: Proactively seek and act upon customer feedback to ensure a superior shopping experience. Greeting and Meeting: Adhere to ESPOSA's policies and procedures for approaching, welcoming, and interacting with clients. Product Knowledge: Offer detailed information about various brands displayed in the boutique, including conducting analyses of respective brands and seeking technical training as necessary. Client Attention: Provide attentive and enthusiastic service to all clients, ensuring a value-added experience. Collaboration: Work closely with the Floor Coordinator to maximize client satisfaction and encourage repeat visits.<br>Sales and Inventory Management Trend Analysis: Monitor consumer buying patterns and inform the Shop Supervisor of any notable changes. Needs Assessment: Identify customer needs and match them with available gowns in the boutique. Issue Resolution: Assist the Shop Supervisor in addressing and resolving client concerns. Stock Coordination: Collaborate with the Floor Coordinator to ensure the boutique's inventory meets client demands, avoiding issues with out-of-stock or undeliverable gowns. Software Proficiency: Utilize boutique software to process sales orders, receipts, invoices, daily journals, and generate reports.<br>Dress Preparation and Delivery Client Specifications: Document client requests accurately and coordinate with tailors to ensure proper execution. Dress Preparation: Prepare gowns according to client specifications prior to delivery. Alterations: Perform necessary alterations and preparations for both incoming and outgoing items. Issue Follow-up: Work with the Shop Supervisor and tailors to address any client dissatisfaction or changing requirements.<br>Inventory Maintenance Display and Condition: Ensure gowns are in excellent condition and attractively displayed at all times. Stock Counts: Conduct quarterly inventory counts and collaborate with the Shop Supervisor to address any discrepancies.<br>Qualifications Customer Service Skills: Exceptional interpersonal skills with a focus on delivering outstanding customer experiences. Fashion Knowledge: A strong understanding of bridal & evening fashion trends, designers, and styles. Attention to Detail: Meticulous attention to detail, especially regarding gown fittings and alterations. Technical Skills: Proficiency in using retail software for sales and inventory management.<br>Working Conditions Schedule: Saturday till Thursday from 12:30pm till 9:30pm Physical Requirements: Ability to stand for extended periods and assist clients with gown fittings, which may involve lifting and adjusting dresses.

<h3 >About the Role: Arabic Language Expert</h3> <p >SME Careers, a subsidiary of SuperAnnotate and an AI Data Services company, is seeking an <strong >Arabic Language Expert</strong>. This fully remote, hourly paid contractor role involves reviewing AI-generated Arabic and English responses and generating high-quality bilingual training content. The position offers flexible work-from-anywhere hours and is open to candidates in Jeddah and Makkah, Saudi Arabia.</p> <h3 >Role Overview and Contribution</h3> <p >The primary objective of this role is to enhance the accuracy, logical reasoning, and clarity of AI models. This involves evaluating the quality of AI responses, providing expert feedback to ensure accurate and clearly explained answers, and assessing solutions for clarity and adherence to prompts. The work directly contributes to improving premier AI models by providing essential training data for some of the world’s largest AI companies and foundation model labs.</p> <h3 >Key Responsibilities</h3> <ul > <li >Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring models reflect a comprehensive understanding of diverse subjects.</li> <li >Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.</li> <li >Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.</li> <li >Assess solutions for accuracy, clarity, and adherence to prompts; identify errors in methodology or conceptual understanding.</li> <li >Fact-check information, write high-quality explanations and model solutions, and rate and compare multiple AI responses based on correctness and reasoning quality.</li> </ul> <h3 >Candidate Profile and Qualifications</h3> <ul > <li >Bachelor’s degree (or higher) in Linguistics, Translation, Arabic Language, Communications, Journalism, or a related field.</li> <li >Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one major dialect; Egyptian Arabic is preferred.</li> <li >Excellent attention to detail and ability to apply detailed rubrics consistently in high-volume, hourly contractor work.</li> <li >Strong fact-checking habits and comfort validating claims using reputable sources when required by task guidelines.</li> <li >Ability to identify reasoning gaps, methodological errors, and unclear explanations, even when language is fluent.</li> <li >Comfort working independently in a remote, asynchronous environment with reliable availability and communication.</li> <li ><strong >Preferred:</strong> Prior experience with AI data training, annotation, or evaluation workflows.</li> <li ><strong >Preferred:</strong> Familiarity with Arabic localization conventions for MENA (terminology, formatting, cultural nuance).</li> </ul> <h3 >Work Arrangement</h3> <p >This is a <strong >fully remote, hourly paid contractor role</strong> with flexible work-from-anywhere hours. Candidates should be comfortable working independently in an asynchronous environment. The role is suitable for experts located in Jeddah, Makkah, Saudi Arabia.</p> <h3 >Important Note on Engagement</h3> <p >There is no immediate project for this specific role. However, qualified candidates will be among the first experts contacted when relevant opportunities arise. This engagement also provides access to future projects available through SME Careers' expert network.</p>

Job Title – Denodo Technical Lead Company – TCS (MEA) Location – Riyadh, Saudi Arabia Job type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:<br>Data Virtualization & Integration Design and develop data virtualization layers and virtual views (base, derived, interface views) Integrate data from multiple sources (RDBMS, APIs, cloud platforms, flat files Build logical and semantic data models for enterprise reporting<br>2. Denodo Development Develop Denodo views, VQL scripts, and data services (REST/SOAP) Create reusable data services and expose them to downstream applications Implement transformations, joins, and data pipelines within Denodo<br>3. Performance Optimization Optimize query performance using caching, indexing, and federated queries Tune Denodo views and queries for scalability and efficiency Monitor system performance and troubleshoot bottlenecks<br>4. Security & Governance Implement data security, masking, and role-based access controls (RBAC) Ensure compliance with enterprise data governance standards Manage metadata, lineage, and audit processes<br>5. Administration & Support Configure and maintain Denodo environments across DEV / TEST / PRODMonitor, troubleshoot, and resolve Denodo-related issues Manage deployments, scheduler jobs, and environment configurations Support production operations and incident management<br>6. Collaboration & Stakeholder Engagement Work with data architects, business analysts, and BI teams Translate business requirements into data solutions Provide technical guidance and support to stakeholders <br>7. Documentation & Best Practices Maintain documentation (data models, integration flows, standards) Define and enforce Denodo development and deployment best practices Ensure knowledge sharing across teams<br>Required Skills & Experience Technical Skills Strong experience in: Denodo Platform (Development and/or Administration) Data Virtualization concepts Expertise in: SQL, VQLData modelling (logical & semantic models) Knowledge of: APIs (REST, SOAP), JSON, XMLData Warehousing & ETL/ELT concepts Relational databases (Oracle, SQL Server, Postgre SQL)<br>Application Deadline: 30th-August-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy