10 AI Language Model Trainer jobs in Saudi Arabia

Aramco energizes the world economy.

Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

We are seeking an Artificial Intelligence Specialist (AIS) to join the Gas Operations Technical Support Division.

The Gas Operation Technical Support Division is responsible for providing Artificial Intelligence (AI)-powered solutions to all Gas Plants. The objective is to leverage AI technological advancements to support data-driven decisions in Safety, Environment, Energy, Efficiency, and value creation.

The primary role of the Artificial Intelligence Specialist is to work closely with the Gas Business Line and other corporate entities to manage AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation, and value tracking.

The successful candidate will be required to perform the following:

• Lead a multidisciplinary team to oversee and monitor Gas AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation, and value tracking.
• Collaborate with internal/external entities and with 3rd parties to drive AI implementation advancement in Gas.
• Prioritize AI business cases and oversee the quality of all deliverable packages required to secure funds.
• Develop a roadmap to scale up AI solutions across the Business Line.
• Facilitate and monitor AI solutions development and execution phases with all stakeholders.
• Develop Generative AI cases for Safety, Environment, Operations, and Maintenance.
• Apply statistical analysis methods to test hypotheses and validate results based on the project or use-case.
• Build and train machine learning models to solve specific problems and optimize models for performance and accuracy such as anomaly detection algorithms or predictive models.
• Assess, identify, and mitigate key risks associated with cybersecurity and ensure that data practices adhere to the company's regulations and data privacy standards.
• Act as the Gas AI focal point of contact and coordinator with all other entities.

• The candidate must hold a Bachelor's degree in Engineering, Computer Science, Data Science and Analytics, Machine Learning, or AI, or in a related field from an accredited university. An advanced degree in an engineering discipline with a focus on machine learning, artificial intelligence, applied statistics, or operations research is desirable.
• 10 years of experience in building data analytics-based products or machine learning models.
• Able to program in different languages such as Python and has experience with statistics and data cleaning libraries and methodologies, in addition to visualization tools such as Power BI or Tableau.
• Strong knowledge in regression and classification, association rules & clustering, big data, databases & SQL, textual analysis (NLP), neural networks, and advanced visualization. Understanding of statistical and predictive and optimization algorithms is required.
• Analytical and problem-solving skills to derive insights and opportunities from data.
• Basic project management skills to plan, execute, and deliver data science projects.
• Past experience in leading AI solution deployment projects for Oil and Gas is preferable.
• Knowledge of plant automation systems, standard real-time interfaces such as OPC, and process historians such as PI is desirable.

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical, and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical, and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.

Job ID: 15053

Tagged as: Gas Ventures Dept

Responsibilities

• Collaborate with senior leadership to define AI strategies and business objectives.
• Lead the design, development, and deployment of AI solutions tailored to client needs, ensuring business impact and ROI.
• Provide strategic guidance on AI adoption, aligning initiatives with industry trends, regulatory requirements, and best practices.
• Drive AI transformation by identifying opportunities for AI integration within client operations, processes, and technology ecosystems.
• Oversee project delivery, managing timelines, budgets, resources, and risk mitigation strategies to ensure successful execution.
• Lead and mentor a team of AI professionals, fostering a culture of innovation, collaboration, and continuous learning.
• Engage with internal and external stakeholders, including data scientists, engineers, and business leaders, to refine AI models and methodologies.
• Conduct in-depth assessments of AI solutions to measure effectiveness and optimize performance.
• Stay ahead of emerging AI technologies, industry developments, and regulatory changes to inform project strategies.
• Lead business development efforts, identifying new opportunities, expanding client relationships, and contributing to AI thought leadership.
• Develop proposals, presentations, and prototypes to showcase AI capabilities and drive client engagement.
• Represent the firm at industry events, conferences, and executive briefings to promote AI expertise and expand market presence.

Qualifications & Experience :

• Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 12+ years of experience in AI, data science, or a related field, with a proven track record in a consulting or corporate leadership role.
• Expertise in AI technologies, including machine learning, natural language processing, computer vision, and generative AI.
• Strong leadership and project management experience, with the ability to oversee multiple engagements simultaneously.
• Demonstrated success in delivering AI-driven business transformations in industries such as financial services, technology, or government.
• Strong stakeholder management and communication skills, with the ability to present complex AI concepts to non-technical audiences.
• Experience working within Agile methodologies for AI and product development.

Job ID: Director-AI

Responsibilities

• Collaborate with senior leadership to define AI strategies and business objectives.
• Lead the design, development, and deployment of AI solutions tailored to client needs, ensuring business impact and ROI.
• Provide strategic guidance on AI adoption, aligning initiatives with industry trends, regulatory requirements, and best practices.
• Drive AI transformation by identifying opportunities for AI integration within client operations, processes, and technology ecosystems.
• Oversee project delivery, managing timelines, budgets, resources, and risk mitigation strategies to ensure successful execution.
• Lead and mentor a team of AI professionals, fostering a culture of innovation, collaboration, and continuous learning.
• Engage with internal and external stakeholders, including data scientists, engineers, and business leaders, to refine AI models and methodologies.
• Conduct in-depth assessments of AI solutions to measure effectiveness and optimize performance.
• Stay ahead of emerging AI technologies, industry developments, and regulatory changes to inform project strategies.
• Lead business development efforts, identifying new opportunities, expanding client relationships, and contributing to AI thought leadership.
• Develop proposals, presentations, and prototypes to showcase AI capabilities and drive client engagement.
• Represent the firm at industry events, conferences, and executive briefings to promote AI expertise and expand market presence.

Qualifications & Experience :

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 12+ years of experience in AI, data science, or a related field, with a proven track record in a consulting or corporate leadership role.
• Expertise in AI technologies, including machine learning, natural language processing, computer vision, and generative AI.
• Strong leadership and project management experience, with the ability to oversee multiple engagements simultaneously.
• Demonstrated success in delivering AI-driven business transformations in industries such as financial services, technology, or government.
• Strong stakeholder management and communication skills, with the ability to present complex AI concepts to non-technical audiences.
• Experience working within Agile methodologies for AI and product development.

Job ID: Director-AI

Build the ML infrastructure powering Saudi Arabia's financial transformation.

We're Aajil (previously BuildNow), backed by leading regional VCs and operating at the heart of Saudi Arabia's $50B+ SME market. We've already revolutionized lending timelines from 3 months to hours. Now we're building what's next: real-time, intelligent credit decisions that will transform how millions of SMEs access capital.

As Machine Learning Lead, you'll architect the intelligence layer for the Kingdom's most ambitious fintech. With exclusive access to the data we have, you'll build ML systems that don't exist anywhere in the region — yet.

Saudi Arabia is experiencing the world's most ambitious economic transformation. Vision 2030 has created unprecedented opportunities for those bold enough to seize them. The government is digitizing at breakneck speed, regulations are evolving in real-time, and there's genuine will to make the Kingdom a global fintech hub.

This isn't another "emerging market" story. This is ground zero for building financial infrastructure that will define the next decade.

You'll lead our ML efforts from our Riyadh headquarters, building systems that process billions in BNPL decisions:

• Own the evolution from hours → minutes → real-time credit decisions
• Build and lead a world-class ML team, mixing top Saudi talent with international experts
• Architect production ML systems handling thousands of daily decisions with 99.9% uptime

Essential Experience:

• 8+ years building and deploying ML systems in production environments
• Proven track record leading ML teams and delivering business impact
• Deep expertise in credit risk, fraud detection, or financial ML systems
• Experience with real-time ML serving, feature stores, and MLOps at scale
• Strong engineering fundamentals and architectural thinking
• Track record of hiring and developing exceptional ML talent

The X-Factors:

• You've built ML systems that handle serious money and serious scale
• You've worked in high-growth environments where perfect is the enemy of shipped
• You're excited by exclusive data access and building unique competitive advantages
• You see the opportunity in Saudi Arabia while others see only challenges

Unprecedented Opportunity : The Kingdom is investing billions in digital transformation. Your work here will have 10x the impact of mature markets.

Exclusive Data Access : Through government partnerships, we have data advantages that otherstartups dream of. Tens of millions of transactions— this is your ML playground.

This role isn't for everyone. It's for ML leaders who see massive opportunity where others see risk. Who want to build something that matters, not optimize something that already works.

Send us:

1. Your GitHub/papers/portfolio — show us what you've built at scale
2. A brief note on why Saudi Arabia, why now, why Aajil — we want missionaries, not mercenaries

P.S. We've already automated credit assessments from the industry standard of 3 months to hours in one of the world's most complex markets. If you think that's just the beginning of what's possible, we should talk.

Location : Riyadh, Saudi Arabia (relocation support provided)

Start Date : Q3 2025

Build the ML infrastructure powering Saudi Arabia's financial transformation.

We're Aajil (previously BuildNow), backed by leading regional VCs and operating at the heart of Saudi Arabia's $50B+ SME market. We've already revolutionized lending timelines from 3 months to hours. Now we're building what's next: real-time, intelligent credit decisions that will transform how millions of SMEs access capital.

As Machine Learning Lead, you'll architect the intelligence layer for the Kingdom's most ambitious fintech. With exclusive access to the data we have, you'll build ML systems that don't exist anywhere in the region — yet.

Saudi Arabia is experiencing the world's most ambitious economic transformation. Vision 2030 has created unprecedented opportunities for those bold enough to seize them. The government is digitizing at breakneck speed, regulations are evolving in real-time, and there's genuine will to make the Kingdom a global fintech hub.

This isn't another "emerging market" story. This is ground zero for building financial infrastructure that will define the next decade.

You'll lead our ML efforts from our Riyadh headquarters, building systems that process billions in BNPL decisions:

• Own the evolution from hours → minutes → real-time credit decisions
• Build and lead a world-class ML team, mixing top Saudi talent with international experts
• Architect production ML systems handling thousands of daily decisions with 99.9% uptime

Essential Experience:

• 8+ years building and deploying ML systems in production environments
• Proven track record leading ML teams and delivering business impact
• Deep expertise in credit risk, fraud detection, or financial ML systems
• Experience with real-time ML serving, feature stores, and MLOps at scale
• Strong engineering fundamentals and architectural thinking
• Track record of hiring and developing exceptional ML talent

The X-Factors:

• You've built ML systems that handle serious money and serious scale
• You've worked in high-growth environments where perfect is the enemy of shipped
• You're excited by exclusive data access and building unique competitive advantages
• You see the opportunity in Saudi Arabia while others see only challenges

Unprecedented Opportunity : The Kingdom is investing billions in digital transformation. Your work here will have 10x the impact of mature markets.

Exclusive Data Access : Through government partnerships, we have data advantages that otherstartups dream of. Tens of millions of transactions— this is your ML playground.

This role isn't for everyone. It's for ML leaders who see massive opportunity where others see risk. Who want to build something that matters, not optimize something that already works.

Send us:

1. Your GitHub/papers/portfolio — show us what you've built at scale
2. A brief note on why Saudi Arabia, why now, why Aajil — we want missionaries, not mercenaries

P.S. We've already automated credit assessments from the industry standard of 3 months to hours in one of the world's most complex markets. If you think that's just the beginning of what's possible, we should talk.

Location : Riyadh, Saudi Arabia (relocation support provided)

Start Date : Q3 2025

• Riyadh, SA - Hybrid (Remote and In Person)

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

• Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
• Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
• Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
• Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
• Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
• Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.