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Unique Closets

Job SummaryWe are looking for a skilled Software Developer to join our team. The ideal candidate will be responsible for developing, testing, and maintaining software applications while collaborating with internal teams to deliver efficient and reliable solutions.Key Responsibilities<ul><li>Develop and maintain web or software applications.</li><li>Write clean, efficient, and scalable code.</li><li>Troubleshoot, debug, and improve existing systems.</li><li>Collaborate with cross-functional teams on project requirements.</li><li>Participate in testing and deployment activities.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree or Diploma in Computer Science, Software Engineering, or a related field.</li><li>Experience in software development is preferred.</li><li>Knowledge of programming languages such as Java, C#, Python, JavaScript, or PHP.</li><li>Strong problem-solving and analytical skills.</li><li>Good communication skills and ability to work in a team.</li><li>Any nationality may apply. Candidates currently residing in Saudi Arabia are preferred.</li></ul>How to ApplyInterested candidates are requested to send their updated CV directly via WhatsApp to:+966 55 926 5760Please mention &ldquo;Software Developer&rdquo; in your message.Work Location: In person

Software Developer

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 As a Software Engineer with Tech &amp; AI at McKinsey, you will work with clients across a wide range of sectors and industries, advising them on how to best leverage technology.
 
 
 You will drive architectural design, make key technology decisions, and employ agile methodologies to build and deliver the next generation of products for our clients at scale.
 
 
 You will also lead project workstreams, helping clients build their technical capabilities and foster a culture centered around engineering best practices, user-centricity, and Agile values.
 
 
 As a core member of the team, you will take on responsibilities that include driving architectural design and making strategic technology decisions to shape next-generation products for various internal teams, ensuring that we remain at the forefront of technological innovation.
 
 
 Additionally, you will be hands-on and co-creating solutions alongside our clients and their leadership, enabling you to grow into a recognized technology leader.
 
 
 You will be part of the McKinsey Digital team in Riyadh, Saudi Arabia. This group brings together the best of McKinsey&rsquo;s digital capabilities to help our clients use digital technology to transform their businesses.
 
 
 McKinsey Digital is our tech delivery people unit. A global team of software, data and cloud engineers, passionate designers, technology architects, product owners, and leading technologists.
 
 
 You will join a multidisciplinary community of developers, Agile coaches, designers, business strategists and experts. Together, we will design and create industry shaping products and tools for our clients.
 
 
 While we advocate for using the right tech for the right task, we often leverage the following technologies: JavaScript, TypeScript, React.js, Angular.js, Next.js, Vue.js, Python, Java, C#, NodeJS, SQL, MongoDB, AWS, Azure, GCP, and more!
 
 
 Our office culture is casual and social, with an emphasis on education and innovation. You will have the freedom to try new ideas and experiment in your role and will be guaranteed significant dedicated time to tinker, create, continuously learn and share cool new stuff. We also have a strong emphasis in our teams on mentoring others enabling them to grow and learn.
 
 
 Changing the world requires us to sit with our clients at times, so some travel is expected in this role.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate or master&rsquo;s degree; or equivalent experience
 </li>
 <li>
 5+ years of experience in software development, with significant full-stack web application development experience strongly preferred
 </li>
 <li>
 Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis
 </li>
 <li>
 Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities
 </li>
 <li>
 Experience working collaboratively with technical and non-technical team members and stakeholders including modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness
 </li>
 </ul>
</div>

Software Engineer II - QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 As a Senior Software Engineer with McKinsey Tech &amp; AI, you will work with clients across a wide range of sectors and industries, advising them on how to best leverage technology.
 
 
 You will drive architectural design, make key technology decisions, and employ agile methodologies to build and deliver the next generation of products for our clients at scale.
 
 
 You will also lead project workstreams, helping clients build their technical capabilities and foster a culture centered around engineering best practices, user-centricity, and Agile values.
 
 
 As a core member of the team, you will take on responsibilities that include driving architectural design and making strategic technology decisions to shape next-generation products for various internal teams, ensuring that we remain at the forefront of technological innovation.
 
 
 Additionally, you will be hands-on and co-creating solutions alongside our clients and their leadership, enabling you to grow into a recognized technology leader.
 
 
 You will be part of the McKinsey Digital team in Riyadh, Saudi Arabia. This group brings together the best of McKinsey&rsquo;s digital capabilities to help our clients use digital technology to transform their businesses.
 
 
 McKinsey Digital is our tech delivery people unit. A global team of software, data and cloud engineers, passionate designers, technology architects, product owners, and leading technologists.
 
 
 You will join a multidisciplinary community of developers, Agile coaches, designers, business strategists and experts. Together, we will design and create industry shaping products and tools for our clients.
 
 
 While we advocate for using the right tech for the right task, we often leverage the following technologies: JavaScript, TypeScript, React.js, Angular.js, Next.js, Vue.js, Python, Java, C#, NodeJS, SQL, MongoDB, AWS, Azure, GCP, and more!
 
 
 Our office culture is casual and social, with an emphasis on education and innovation. You will have the freedom to try new ideas and experiment in your role and will be guaranteed significant dedicated time to tinker, create, continuously learn and share cool new stuff. We also have a strong emphasis in our teams on mentoring others enabling them to grow and learn.
 
 
 Changing the world requires us to sit with our clients at times, so some travel is expected in this role.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate or master&rsquo;s degree; or equivalent experience
 </li>
 <li>
 7+ years of experience in software development, with significant full-stack web application development experience strongly preferred
 </li>
 <li>
 Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis
 </li>
 <li>
 Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities
 </li>
 <li>
 Experience working collaboratively with technical and non-technical team members and stakeholders including modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness
 </li>
 </ul>
</div>

Senior Software Engineer - QuantumBlack, AI by McKinsey

Qiddiya | القدية

<div>
 The Senior Manager leads project controls and financial governance across assigned projects or portfolios, ensuring robust oversight of contracts, budgets, schedules, risks, and reporting. The role provides strategic financial insight, strengthens control frameworks, and supports senior leadership in informed decision-making.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Manage contract variations, change orders, and extension of time/cost claims, ensuring proper evaluation, documentation, approvals, and reporting.
 </li>
 <li>
 Oversee utilization of project contingencies and provisional sums, ensuring disciplined budget control and alignment with approved business cases.
 </li>
 <li>
 Direct cost monitoring, forecasting, and variance analysis, providing clear insights and mitigation strategies to senior management.
 </li>
 <li>
 Ensure integrity and reconciliation of data across SAP, Primavera P6, Unifier, BIM, and related systems.
 </li>
 <li>
 Oversee monthly accrual reviews and financial close activities to ensure accuracy and compliance.
 </li>
 <li>
 Provide high-level oversight of schedule changes and integrated cost/schedule impacts.
 </li>
 <li>
 Lead risk and opportunity reviews, ensuring timely identification, assessment, and escalation of key exposures.
 </li>
 <li>
 Act as a senior liaison between Finance, Commercial, and Project Delivery teams to ensure transparency and alignment.
 </li>
 <li>
 Mentor and guide project controls teams, promoting governance, accountability, and continuous improvement
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Bachelor's degree
 
 
 Working knowledge or certification on project tools such as: primavera, p6, unifier, SAP project module. (required)
 
 
 
 Professional Certifications
 
 
 
 Professional certifications such as CPA/ MBA are preferred
 
 
 Certificate in Construction Law and Dispute Resolution - RICS or similar are preferred
 
 
 Project Management Professional (PMP) is preferred.
 
 
 8+ years of experience in Project Controls, or Development Finance as part of large construction company or large developer or PMC.
</div>

Senior Manager - Financial Planning and Analysis (CORS 251)

Majid Al Futtaim

<div>
 
 
 BUSINESS INTRODUCTION
 
 
 
 Majid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie &amp; Fitch, &amp; Vox Cinemas. We believe in making Great Moments for Everyone, Every day.
 
 
 
 
 
 
 JOB TITLE
 
 
 
 Store Administrative Associate | MAF LifeStyle | Furniture
 
 
 
 
 
 
 ROLE SUMMARY
 
 
 
 The role is responsible for the day-to-day operation of the cash office and provide administrative support to the store management team through a variety of tasks related to organization and communication. The individual must be proficient in identifying and resolving cash discrepancies, demonstrate in-depth knowledge of operational compliance requirements, and ensure all duties are completed accurately and delivered with high quality and in a timely manner.
 
 
 
 
 
 
 ROLE PROFILE
 
 
 <ul>
 <li>
 Assists store management in completion of weekly and monthly audit checklists.
 </li>
 <li>
 Ensure operation of office and POS equipment by completing preventive maintenance requirements; calling for repairs; maintaining
 </li>
 <li>
 Responsible for daily cash banking and balancing of all monies received on daily basis.
 </li>
 <li>
 Update DSR to be sent to finance highlighting any discrepancies.
 </li>
 <li>
 Act as custodian for the petty cash and cash float of the store.
 </li>
 <li>
 Ensure all in store equipment is working to the standards required to give the best experience to our customers.
 </li>
 <li>
 Accountable for reporting any issues related to system, standards, digital platforms, Facility management to the concern department and follow up until it is solved.
 </li>
 <li>
 Responsible for ordering office supplies, anticipating changes in requirements and ensuring that the stocks are maintained within budget.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS
 
 
 <ul>
 <li>
 High School Certificate
 </li>
 <li>
 2 years retail, cash handling and secretarial experience
 </li>
 <li>
 Good Communication Skills
 </li>
 <li>
 Excellent Customer Service
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER
 
 
 <ul>
 <li>
 At Majid Al Futtaim, we&rsquo;re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We&rsquo;re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
 </li>
 <li>
 Work in a friendly environment, where everyone shares positive vibes and excited about our future.
 </li>
 <li>
 Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
 </li>
 </ul>
</div>

Store Administrative Associate

Maaden

<div>
 
 Job Purpose
 
 
 
 
 JOB DESCRIPTION
 
 
 
 <ul>
 <li>
 The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
 </li>
 <li>
 The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
 </li>
 <li>
 Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow
 
 
 </li>
 </ul>
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Lead End-to-End Data Science Delivery
 </li>
 <li>
 Developing, implementing and maintaining databases and data collection systems
 </li>
 <li>
 Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
 </li>
 <li>
 Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
 </li>
 <li>
 Performing statistical analysis to understand and interpret data insights
 </li>
 <li>
 Applying data mining techniques to identify patterns, trends, and relationships in large datasets
 </li>
 <li>
 Building predictive models and machine learning algorithms to forecast future outcomes
 </li>
 <li>
 Creating clear data visualizations and reports to communicate findings to stakeholders
 </li>
 <li>
 Working with cross-functional teams to understand business needs and provide data-driven solutions
 </li>
 <li>
 Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
 </li>
 <li>
 Ensuring data security and compliance with relevant regulations
 </li>
 <li>
 Drive experimentation, model versioning, automated retraining, and continuous improvement.
 </li>
 <li>
 Translate Business Needs into AI/Analytics Solutions
 </li>
 <li>
 Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
 </li>
 <li>
 Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
 </li>
 <li>
 Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.
 </li>
 <li>
 Industrialize AI/ML Models (ML Ops &amp; Architecture)
 </li>
 <li>
 Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
 </li>
 <li>
 Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
 </li>
 <li>
 Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
 </li>
 <li>
 Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements
 </li>
 <li>
 Responsible AI, Quality &amp; Governance
 </li>
 <li>
 Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
 </li>
 <li>
 Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
 </li>
 <li>
 Ensure transparency, explainability, and continuous model governance across production and enterprise environments
 </li>
 <li>
 Stakeholder Management &amp; Value Realization
 </li>
 <li>
 Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
 </li>
 <li>
 Track value realization, adoption metrics, and operational impact to ensure measurable benefit.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 
 Minimum Qualification, Experience and Core Competencies:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 Good to Have Capabilities
 
 
 <ul>
 <li>
 Minimum Experience:
 </li>
 <li>
 6+ years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
 </li>
 <li>
 Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
 </li>
 <li>
 Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS) &ndash; Microsoft AI Factory
 </li>
 <li>
 Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
 </li>
 <li>
 Machine Learning &amp; Advanced Analytics
 </li>
 <ul>
 <li>
 Hands-on experience developing and deploying machine learning models, including time-series forecasting, predictive modeling, and optimization use cases
 </li>
 <li>
 Strong understanding of model performance, validation, stability, and business impact
 </li>
 </ul>
 <li>
 Generative AI &amp; AI Agents
 </li>
 <ul>
 <li>
 Practical experience with Generative AI solutions, including copilots, intelligent automation, and agent-based workflows
 </li>
 <li>
 Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
 
 
 </li>
 </ul>
 </ul>
 Preferred Experience &amp; Platforms
 
 
 <ul>
 <li>
 Data Engineering (IT + OT)
 </li>
 <li>
 Experience designing and maintaining data pipelines across IT and OT environments
 </li>
 <li>
 Exposure to sensor data, streaming / real-time data processing, and industrial data sources
 </li>
 <li>
 Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
 </li>
 <li>
 MLOps / AgentOps
 </li>
 <li>
 Experience in model deployment and lifecycle management, including:
 </li>
 <ul>
 <li>
 Transition from model development to production and scale
 </li>
 <li>
 Monitoring, retraining, versioning, and drift management
 </li>
 </ul>
 <li>
 Familiarity with automation and operationalization of ML/AI workloads
 </li>
 </ul>
 <ul>
 <li>
 Cloud &amp; Analytics Platforms
 </li>
 <li>
 Experience working with enterprise cloud platforms, preferably:
 </li>
 <ul>
 <li>
 Microsoft Azure Data Platform
 </li>
 <li>
 Databricks AI Platform
 </li>
 <li>
 Microsoft AI Foundry / Microsoft AI Factory
 </li>
 </ul>
 <li>
 Understanding of cloud-native architectures for scalable analytics and AI solutions
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
 </li>
 <li>
 Adoption &amp; Business Impact: Value realized, user adoption, integration success.
 </li>
 <li>
 Delivery Velocity: Timeliness of development cycles and deployment readiness.
 </li>
 <li>
 Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.
 </li>
 </ul>
</div>

Lead Specialist, Data Science & Analytics II

CNTXT AI

<div>
 
 
 Position Summary
 
 
 
 This is a fully remote, hourly contractor role supporting AI data and language projects on a project-based, flexible hour basis. Project scopes vary and may include:
 
 <ul>
 <li>
 
 
 Data annotation:
 
 labeling, classifying, and structuring documents, tables, and other content to support AI training datasets.
 
 </li>
 <li>
 
 
 LLM evaluation:
 
 reviewing AI-generated responses for accuracy, reasoning quality, coherence, and cultural/linguistic appropriateness.
 
 </li>
 <li>
 
 
 Content generation:
 
 writing high-quality prompts and model responses to guide AI learning across diverse topics.
 
 </li>
 <li>
 
 
 Localization QA:
 
 ensuring terminology, tone, cultural nuance, and locale-specific details (units, references, names, dates) are consistently accurate across outputs.
 
 
 
 </li>
 </ul>
 
 You will apply senior-level Arabic localization and translation judgment alongside minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently accurate across use cases.
 
 
 
 Profile Requirements
 
 
 <ul>
 <li>
 
 Bachelor's degree or higher in Translation, Linguistics, Localization, Communications, 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 dialect.
 
 </li>
 <li>
 
 Minimum C1 English proficiency (reading/writing) for interpreting prompts, source materials, and evaluation guidelines.
 
 </li>
 <li>
 
 Excellent editorial judgment in register, tone, punctuation, inclusivity, and cultural nuance, with extreme attention to detail.
 
 </li>
 <li>
 
 Ability to identify meaning drift, ambiguity, locale inconsistencies, and subtle errors, and to explain corrections clearly in writing.
 
 </li>
 <li>
 
 Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
 
 </li>
 <li>
 
 Ability to identify reasoning gaps, methodological errors, and unclear explanations even when language is fluent.
 
 </li>
 <li>
 
 Reliable, self-directed, and able to deliver consistent quality with clear communication and responsiveness across time zones.
 
 
 
 </li>
 </ul>
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 
 Professional localization or translation experience.
 
 </li>
 <li>
 
 Familiarity with MQM/LQA concepts (severity, category, and root-cause thinking) for consistent quality decisions.
 
 </li>
 <li>
 
 Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks).
 
 </li>
 <li>
 
 Previous experience with AI data training, annotation, or evaluation.
 
 
 
 </li>
 </ul>
 
 
 About CNTXT AI
 
 
 
 CNTXT AI builds artificial intelligence products and data solutions with a focus on making AI accurate, safe, and globally relevant for impact. Our work spans data services, custom AI solutions, and proprietary AI products, with deep expertise in Arabic-native and secure, sovereign solutions.
 
</div>

Arabic/English Bilingual AI Data Annotator & Evaluator (Remote, Hourly Contractor)

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