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artificial intelligence engineer Jobs in Riyadh

artificial intelligence engineer

principal software engineer - quantumblack, ai by mckinsey Jobs in Riyadh

artificial intelligence specialist

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: AI Tools &amp; Enablement Specialist</h1>
Job Title: AI Tools &amp; Enablement Specialist 
Experience: 3&ndash;11+ Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced AI Tools &amp; Enablement Specialist with 3&ndash;11+ years of experience to drive the adoption, enablement, and operationalization of AI tools across business and technology teams. The ideal candidate will have hands-on experience with enterprise AI platforms, productivity AI tools, low-code automation platforms, data science environments, and API-based AI integrations. This role focuses on enabling teams to effectively leverage AI capabilities, build AI-powered solutions, and accelerate business transformation initiatives.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Enable enterprise adoption of AI tools and platforms across business functions.</li><li>
Evaluate, configure, and implement AI solutions aligned with organizational needs.</li><li>
Support AI experimentation, prototyping, and rapid solution development.</li><li>
Develop AI-enabled workflows, automation solutions, and productivity enhancements.</li><li>
Create enablement materials, best practices, and usage guidelines for AI platforms.</li><li>
Collaborate with business stakeholders, data teams, and engineering teams to identify AI opportunities.</li><li>
Configure and support enterprise AI assistants, AI copilots, and generative AI solutions.</li><li>
Integrate AI capabilities with enterprise applications using APIs and automation frameworks.</li><li>
Support governance, security, and responsible AI adoption practices.</li><li>
Monitor AI tool usage, adoption metrics, and business impact.</li><li>
Provide training and guidance to users on effective AI utilization.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
AI &amp; Data Science Platforms</h3><ul><li>
Hands-on experience with Dataiku or Databricks or Vertex AI Workbench for AI experimentation, analytics, and machine learning workflows.</li><li>
Experience supporting AI/ML development environments and collaborative data science platforms.</li></ul><h3 class="jobSectionHeader">
Generative AI &amp; AI Assistants</h3><ul><li>
Experience with Claude or ChatGPT Enterprise or Gemini for enterprise AI enablement and productivity use cases.</li><li>
Understanding of prompt engineering, AI assistants, and Generative AI adoption practices.</li><li>
Experience evaluating AI capabilities for business workflows.</li></ul><h3 class="jobSectionHeader">
Low-Code &amp; Automation Platforms</h3><ul><li>
Experience with Microsoft Power Platform or Appian for workflow automation, application development, and business process enablement.</li><li>
Ability to design AI-powered automation solutions using low-code platforms.</li></ul><h3 class="jobSectionHeader">
AI Integration &amp; APIs</h3><ul><li>
Experience integrating AI services using APIs.</li><li>
Understanding of REST APIs, authentication methods, and connecting AI capabilities with enterprise applications.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Software Engineering, or a related field.</li><li>
3&ndash;11+ years of experience in AI enablement, automation, analytics, digital transformation, software development, or technology consulting.</li><li>
Strong understanding of AI concepts, Generative AI capabilities, and enterprise AI adoption.</li><li>
Excellent communication, training, and stakeholder management skills.</li><li>
Ability to translate business requirements into AI-driven solutions.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience implementing enterprise AI adoption programs.</li><li>
Knowledge of AI governance, security, and responsible AI practices.</li><li>
Experience working with cloud AI platforms such as AWS, Azure, or Google Cloud.</li><li>
Familiarity with automation workflows, process optimization, and digital transformation initiatives.</li><li>
Experience creating AI training programs and user enablement content.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
AI &amp; Data Platforms: Dataiku or Databricks or Vertex AI Workbench</li><li>
Generative AI Tools: Claude or ChatGPT Enterprise or Gemini</li><li>
Automation Platforms: Microsoft Power Platform or Appian</li><li>
Integration: APIs and REST-based AI service integrations</li><li>
AI Enablement: AI Adoption and User Training and AI Workflow Optimization</li><li>
Enterprise AI Practices: Responsible AI and Governance and Business Process Transformation</li></ul>
CdGObnJzLD</div>

AI Tools & Enablement Specialist

<div><h1 class="jobSectionHeader">Job Description: AI / ML Engineer</h1>
Job Title: AI / ML Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh (Onsite) 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking a skilled AI / ML Engineer with 3&ndash;11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Cloud AI Platforms</h3><ul><li>
Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker.</li><li>
Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions.</li><li>
Experience with BigQuery ML and Dataflow for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader">
Programming &amp; Machine Learning</h3><ul><li>
Strong proficiency in Python.</li><li>
Experience developing machine learning solutions using TensorFlow or PyTorch.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader">
Generative AI &amp; LLM Frameworks</h3><ul><li>
Experience with Hugging Face and LangChain for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Analytics</h3><ul><li>
Experience with Databricks for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; Deployment</h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>
3&ndash;11 years of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker</li><li>
Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs)</li><li>
Data Processing: BigQuery ML and Dataflow and Databricks</li><li>
Programming: Python</li><li>
Machine Learning Frameworks: TensorFlow or PyTorch</li><li>
LLM Frameworks: Hugging Face or LangChain</li><li>
MLOps: Docker and Kubernetes and CI/CD (Preferred)</li></ul>
kmeseaCmpf</div>

AI / ML Engineer

MOZN

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are looking for a AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
 
 
 What you'll do
 
 
 
 
 <ul>
 <li>
 Designing, building, and scaling machine learning models and infrastructure
 </li>
 <li>
 Deploying deep learning and generative models into production for public and private sector projects
 </li>
 <li>
 Optimizing ML training and inference for performance, latency, and scalability
 </li>
 <li>
 Monitoring, retraining, and improving deployed ML models
 </li>
 <li>
 Driving consultation efforts, providing expert guidance to client stakeholders
 </li>
 <li>
 Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations
 </li>
 <li>
 Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data
 </li>
 <li>
 Develop backend services and APIs to expose AI capabilities securely and reliably
 </li>
 <li>
 Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions
 </li>
 <li>
 Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science or related field
 </li>
 <li>
 3-5 years of experience across software engineering, ML engineering, data science, data engineering and generative AI
 </li>
 <li>
 Strong track record of projects across public and private sectors
 </li>
 <li>
 Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
 </li>
 <li>
 Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
 </li>
 <li>
 Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
 </li>
 <li>
 Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
 </li>
 <li>
 Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
 </li>
 <li>
 Familiarity with MLOps practices and automation pipelines
 </li>
 <li>
 Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment
 </li>
 <li>
 Experience building data ingestion, transformation, and processing pipelines
 </li>
 <li>
 Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.js, or equivalent technologies
 </li>
 <li>
 Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces
 </li>
 <li>
 Working knowledge of frontend technologies such as React, Next.js, JavaScript, TypeScript, HTML, and CSS
 </li>
 <li>
 Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services
 </li>
 <li>
 Ability to independently build functional AI applications from prototype through production
 </li>
 <li>
 Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 </ul>
 <ul>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
</div>

AI Engineer

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

Prince Sultan University

<div>
 Institution: Prince Sultan University Location: Riyadh Category: Academic Posted: January 4, 2026 Application Due: August 31, 2026 Type: Full Time
 
 
 
 Faculty Required
 
 
 
 Computer Science, Information Systems, and Software Engineering (Males and Females).
 
 
 
 Job Summary
 
 
 
 The College of Computer and Information Sciences is seeking applicants with the rank of Assistant Professor, Associate Professor, or Full Professor
 
 for the first semester of the next academic year 2026/2027, which starts on August 9th, 2026.
 
 
 
 The candidate is expected to teach courses in the different programs including Bachelor of Computer Science, Bachelor of Information Systems, Bachelor of Software Engineering, Master of Software Engineering, Master of Cybersecurity, and PhD programs in domains of Cybersecurity, Artificial Intelligence, Data Science, Business Analytics, and Digital Transformation, Game Development, Robotics, Drones, and Mobile App Development. In addition, successful candidates will be expected to conduct research, supervise student work, and engage in research activities and administrative work for the college and the community.
 
 
 <ul>
 <li>
 A suitable candidate would demonstrate:
 </li>
 <li>
 PhD degree in the computing fields (Computer Science, Software engineering, and Information Systems) from accredited universities in North America and Europe, with a preference for specializations in Cybersecurity, Artificial Intelligence, Data Science, Business Analytics, Digital Transformation, Game Development, Robotics, Drones, and Mobile App Development.
 </li>
 <li>
 SDG background to be integrated in the college Curricula.
 </li>
 <li>
 An intensive and high teaching quality record.
 </li>
 <li>
 A track record of or potential to, secure external funding and produce high-quality research.
 </li>
 <li>
 A track record of, or evidence of potential to, publish in leading international peer-reviewed journals (ISI and Scopus Q1, Q2).
 </li>
 <li>
 Experience in supervising undergraduate and postgraduate research students.
 </li>
 <li>
 The ability to develop new areas of the curriculum should the need arise.
 
 
 </li>
 </ul>
 For further details about the college undergraduate programs, courses and study plans, please refer to the website:
 
 https://www.psu.edu.sa/CCIS
 
 
 
 
 Salary And Benefits
 
 
 
 The University is continuously expanding and its campus is situated in well-equipped new premises in north-central Riyadh.
 
 
 <ul>
 <li>
 We offer a one-year renewable contract (renewable subject to Dean/Director and student evaluation) and a competitive salary package based on academic qualification, rank, and teaching experience as stated above;
 </li>
 <li>
 Other benefits include medical insurance coverage for the employee &amp; dependents residing within the Kingdom, (spouse &amp; 4 children below 24 years of age);
 </li>
 <li>
 Transport allowance;
 </li>
 <li>
 Round trip tickets (maximum 4: employee, spouse, and 2 children below 18 years of age) for annual leave with paid annual (summer) vacation of two (2) months, plus 2 local paid holidays of about 15 days each (as applicable);
 </li>
 <li>
 Tuition fees of Saudi Riyals 30,000 maximum for children attending school within the Kingdom. Details will be specified in the contract.
 </li>
 <li>
 Free, furnished accommodation plus essential utilities and maintenance will be provided subject to availability, OR the successful candidate will be provided a housing allowance based on academic rank.
 </li>
 <li>
 End-of-service yearly gratuity, which starts on the 2nd year of continuous service (if the candidate completed a minimum of 2 years.)
 
 
 </li>
 </ul>
 
 About Prince Sultan University
 
 
 
 Prince Sultan University is the first private university in Saudi Arabia to have been awarded accreditation by the National Commission for Assessment &amp; Academic Accreditation (NCAAA). Further, it is the youngest university to have achieved such a milestone.
 
 
 Prince Sultan University is the first private university in Saudi Arabia and emphasizes excellence in teaching, research, and community services. PSU offers a Preparatory Year Program in which students develop their English, Mathematics, Computer, and Physical Education/Health and Recreation skills to the standards required for study.
 
 
 
 How To Apply
 
 
 
 Apply with a cover letter using this link: https://docs.google.com/forms/d/e/1FAIpQLSevZ_ndXDa2vjfabvSp_5Aw0OWec1TR1zpUIlolsNhvpG6zOw/viewform
</div>

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)

LaLaMove

<div><div><div>We are looking for a Sales Manager to lead and motivate a team of sales executives to meet and exceed team and individual goals. Your job is to build a high achieving sales team to identify sales leads, pitch Lalamove&rsquo;s services to new clients and maintain a good working relationship with new contacts. 

What we seek: 
<ul>
<li>
Leadership Skills: Ability to motivate your team, work with them to set and meet sales goals. You will be in charge of managing, hiring and motivating the team to strive for success.
</li><li>Analytical and Reporting Skills: You will take the sales numbers, analyze them to find weaknesses in the system, and report these to management. You will also be in charge of building the sales process to further increase the effectiveness of the sales team.
</li>
<li>Salesmanship: Must have vast experience in sales and know how to prospect and qualify leads, build relationships and follow up on new business opportunities.
</li>
<li>Managerial Skills: You must know the concepts of consultative selling in the context of selling a service and know how to pass on your knowledge to your team to hit team input and output KPIs.</li></ul> 
What you&rsquo;ll need: 
<ul>
<li>
Minimum 5 years relevant sales managerial working experience (Startup or logistics industry is a plus)
</li>
<li>Bachelor's degree Business, Finance or related discipline from a reputable institution
</li>
<li>Excellent problem solving, presentation and negotiation skills
</li>
<li>Willingness to roll up your sleeves and take accountability
</li><li>Must have excellent presentation and communications skills and be fluent in English
</li>
<li>Proficiency in CRM programs is a plus
</li>
</ul></div></div><div><div>To all candidates- Lalamove respects your privacy and is committed to protecting your personal data.</div><div>
This Notice will inform you how we will use your personal data, explain your privacy rights and the protection you have by the law when you apply to join us. Please take time to read and understand this Notice. Candidate Privacy Notice: https://www.lalamove.com/en-sa/candidate-privacy-notice</div></div>
<div><div>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.</div></div></div>

Sales Manager

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