2,554 Principal AI Research Engineer Remote jobs in Kenya

• Lead the design and development of cutting-edge AI and Data Science curricula for various educational levels (e.g., undergraduate, postgraduate, professional development).
• Conduct thorough needs analyses to identify key skills and knowledge gaps in the AI and Data Science job market.
• Develop detailed learning objectives, course outlines, lesson plans, and assessment strategies.
• Create engaging and effective learning materials, including lectures, tutorials, case studies, projects, and interactive exercises.
• Collaborate with subject matter experts (SMEs), instructors, and instructional designers to ensure curriculum quality and relevance.
• Integrate the latest industry trends, tools, and technologies into curriculum content.
• Evaluate and revise existing curricula to ensure continuous improvement and alignment with educational goals.
• Develop standards and guidelines for curriculum content and delivery.
• Manage curriculum development projects, ensuring timely completion and adherence to quality standards.
• Stay abreast of best practices in pedagogy, instructional design, and educational technology.
• Contribute to the development of online learning platforms and resources.

• Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Education, or a related field.
• Minimum of 6 years of experience in curriculum development, instructional design, or a similar role, with a strong focus on AI and Data Science.
• Deep understanding of AI/ML concepts, statistical modeling, data mining, programming (e.g., Python, R), and data visualization.
• Proven experience in designing engaging and effective learning experiences, both online and offline.
• Knowledge of adult learning principles and various instructional design models (e.g., ADDIE, SAM).
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly for educational purposes in a remote setting.
• Strong project management and organizational skills.
• Ability to work independently and collaboratively with diverse teams in a remote environment.
• Experience with learning management systems (LMS) and e-learning authoring tools is a plus.
• Passion for education and a commitment to empowering learners with cutting-edge skills.

• Define and drive the product vision, strategy, and roadmap for AI/ML products.
• Conduct market research, competitive analysis, and customer interviews to identify user needs and opportunities.
• Translate product strategy into detailed product requirements, user stories, and specifications.
• Prioritize product backlog and manage development sprints in collaboration with engineering teams.
• Work closely with data scientists and machine learning engineers to guide the development of AI models and features.
• Define key product metrics, monitor performance, and iterate on products based on data and user feedback.
• Collaborate with marketing and sales teams to develop go-to-market strategies and product launch plans.
• Engage with customers and internal stakeholders to gather feedback and ensure product-market fit.
• Stay abreast of the latest advancements in AI, machine learning, and relevant technologies.
• Mentor junior product managers and contribute to the product management best practices within the organization.
• Develop and maintain strong relationships with engineering, design, research, and business teams.
• Manage product lifecycle from ideation to launch and ongoing iteration.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field; Master's degree or MBA preferred.
• Minimum of 7 years of experience in product management, with a significant focus on AI/ML products or related technologies.
• Proven experience in defining product strategy, roadmaps, and successfully launching complex software products.
• Strong technical understanding of machine learning concepts, algorithms, and frameworks.
• Experience working in agile development environments.
• Excellent analytical, problem-solving, and strategic thinking skills.
• Superb communication, presentation, and interpersonal skills.
• Ability to lead cross-functional teams and influence without direct authority.
• Experience with user research, usability testing, and data analysis.
• Passion for AI and a deep understanding of its potential applications.
• Demonstrated ability to work effectively in a fully remote setting.

Job Title: AI Risk & Governance Specialist – AI Stewardship Squad

Location
: Remote from LATAM |
Type
: Full-time Vendor

Company
:

About the Role

As part of Inallmedia's AI Stewardship Squad, you will be responsible for designing and running an end-to-end
AI Risk Management program
that goes beyond checklists. This role is focused on
operationalizing AI responsibility
at scale—helping enterprise teams navigate the complexities of deploying generative and predictive models across sensitive, regulated, or high-impact environments.

You'll work closely with engineering, legal, product, and AppSec to implement frameworks such as
NIST AI RMF 1.0
,
ISO/IEC 42001
, and
ISO/IEC 23894
in real-world settings—balancing risk, usability, and compliance. You'll also prepare organizations to meet emerging global obligations, including the
EU AI Act
and
U.S. privacy regulations
.

If you've led model risk efforts, collaborated across functions, and know how to turn policy into practice, this is your opportunity to build governance structures that scale with AI adoption.

Key Responsibilities

• Maintain an AI System Inventory and Risk Register covering internal and third-party systems (SaaS/LLMs), including key risk domains: bias, robustness, privacy, hallucinations, misuse, drift, and security.
• Execute the full risk lifecycle (identify → assess → treat → monitor) mapped to NIST RMF functions (Map / Measure / Manage / Govern).
• Define and document AI-specific control objectives, mapped to ISO/IEC 42001 clauses (roles, policies, internal audits, continuous improvement), referencing ISO/IEC 23894 for risk processes.
• Lead technical assurance activities: bias/fairness testing, LLM safety evaluations, prompt injection/jailbreak testing, and rollback protocols.
• Align red teaming practices to OWASP Top 10 for LLM Applications; coordinate independent validation of high-risk or regulated models (e.g., under SR 11‑7).
• Embed risk due diligence in vendor onboarding and model acquisition processes; align with CISO (cybersecurity) and Legal/Privacy for PII and cross-border data flow compliance.
• Ensure U.S. privacy obligations are addressed (CCPA/CPRA, Colorado CPA); coordinate readiness for EU AI Act deployer duties including logging, incident handling, and human oversight.
• Run AI risk, ethics, and incident committees; publish dashboards and executive-level reporting (Audit, Risk Committee, BoD).
• Codify usage policies (prompt hygiene, PII, approvals); deliver role-based training to internal teams and promote safe, compliant AI usage across business units.

Ideal Candidate

• 7–10+ years in risk management, governance, or GRC, including 3+ years in AI/ML or model risk.
• Hands-on experience with NIST AI RMF 1.0; working familiarity with ISO/IEC 42001 and ISO/IEC 23894.
• Demonstrated implementation of AI-specific controls: telemetry for drift/performance, bias audits, privacy-by-design, prompt safety evaluation.
• Familiarity with SR 11‑7 / OCC 2011‑12 if coming from financial services or high-risk model environments.
• Proven experience working with U.S.-based companies and engaging with U.S. legal, compliance, and engineering stakeholders.
• Excellent command of English (written and spoken); able to drive cross-functional conversations with clarity and credibility.
• Availability for time zone overlap with U.S. (ET or PT); accustomed to near-shore delivery models and distributed collaboration.

Recommended Stack

Frameworks
: NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894

Red Teaming
: OWASP LLM Top 10, adversarial testing, prompt-injection simulators

Telemetry & Controls
: MLflow, Prometheus, OpenTelemetry, model registries

GRC Tools
: Archer, ServiceNow, internal risk registers

Languages
: Python or SQL (for audit traceability & telemetry queries)

Compliance Contexts
: SR 11‑7, OCC 2011‑12, CCPA/CPRA, EU AI Act (deployer role)

Infrastructure
: Cloud environments with VPN/VPC, RBAC, encryption-at-rest, audit logging

Infrastructure & Environment

• 100% remote across LATAM
• Secure infrastructure: MFA, VPN, RBAC, encrypted storage
• Git-based version control for policies, templates, and evidence documentation
• Integrated with DevOps/ML teams for real-time telemetry and control enforcement
• Cross-collaboration with Legal, Compliance, InfoSec, and Product Governance teams

What We're
Not
Looking For

• Candidates focused solely on legal/policy without experience operationalizing risk controls
• Profiles limited to academic or theoretical frameworks with no deployment exposure
• GRC professionals unfamiliar with AI system behavior, telemetry, or model risk specifics
• Anyone without hands-on experience engaging with U.S.-based organizations

Next Steps

If you're ready to move beyond theory and help
build responsible AI practices at scale
, we'd love to hear from you.

Apply now and help shape the future of
AI governance and risk management
in live production environments.

• Assist in the development and implementation of AI/ML algorithms and models.
• Write clean, efficient, and well-documented code in Python.
• Contribute to the design and maintenance of data pipelines.
• Participate in code reviews and testing to ensure software quality.
• Collaborate with senior developers and researchers on challenging projects.
• Learn and apply new technologies and methodologies in AI/ML.
• Help troubleshoot and debug software issues.
• Document technical specifications and project progress.

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• Strong programming skills in Python.
• Foundational knowledge of machine learning concepts and algorithms.
• Familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) is a plus.
• Understanding of software development principles and practices.
• Excellent problem-solving and analytical skills.
• Strong desire to learn and adapt to new technologies.
• Ability to work effectively in a remote team environment.
• Good communication and interpersonal skills.

• Assist in the design, development, and implementation of AI/ML algorithms and models.
• Write clean, efficient, and well-documented code in programming languages such as Python, Java, or C++.
• Collaborate with senior developers and data scientists to understand project requirements and contribute to technical solutions.
• Participate in code reviews and contribute to improving code quality and best practices.
• Assist in testing and debugging software applications to ensure functionality and performance.
• Research and explore new AI/ML techniques, libraries, and frameworks.
• Contribute to the development of internal tools and scripts to automate development processes.
• Document technical specifications, design decisions, and project progress.
• Gain exposure to cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
• Work effectively in a remote, agile development environment, participating in daily stand-ups and team meetings.

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related quantitative field.
• Strong foundation in programming principles and data structures.
• Familiarity with Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Basic understanding of machine learning concepts, algorithms, and statistical modeling.
• Excellent problem-solving skills and a logical approach to development.
• Good communication and teamwork abilities, essential for a remote role.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous internship or personal project experience in software development or AI/ML is a significant advantage.
• Familiarity with version control systems like Git.
• Must be legally eligible to work as an intern in Kenya.

• Assist in the design, development, and implementation of AI/ML models and algorithms.
• Write clean, efficient, and well-documented code in programming languages such as Python.
• Participate in data collection, cleaning, and preprocessing tasks for AI/ML projects.
• Learn and apply machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Collaborate with senior developers and data scientists to understand project requirements and objectives.
• Assist in the testing and debugging of software applications and AI models.
• Contribute to the development of documentation for software and models.
• Engage in regular learning sessions and technical workshops to enhance skills.
• Participate in code reviews and provide constructive feedback.
• Gain exposure to cloud platforms and deployment strategies for AI/ML solutions.
• Adhere to coding standards and best practices.
• Work effectively as part of a remote, distributed team.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related field.
• Strong foundational knowledge of programming concepts and data structures.
• Passion for Artificial Intelligence and Machine Learning.
• Familiarity with Python programming language.
• Basic understanding of algorithms and computational logic.
• Excellent problem-solving skills and a keen attention to detail.
• Strong written and verbal communication skills.
• Ability to learn quickly and adapt to new technologies.
• Must be available for the full 12-month duration of the internship.
• Demonstrated ability to work independently and collaboratively in a remote setting.
• Prior exposure to AI/ML concepts through coursework or personal projects is a plus.

• Assist senior developers and data scientists in designing, building, and training machine learning models.
• Write clean, efficient, and well-documented code in Python for AI/ML applications.
• Help in data preprocessing, feature engineering, and model evaluation.
• Collaborate with the team using agile methodologies and virtual collaboration tools.
• Research and implement new algorithms and techniques under guidance.
• Assist in the integration of AI models into existing software applications.
• Participate in code reviews and contribute to improving development processes.
• Troubleshoot and debug AI/ML code and systems.
• Contribute to technical documentation and knowledge sharing within the team.
• Gain practical experience with cloud platforms and AI/ML frameworks like TensorFlow or PyTorch.
• Support the testing and deployment of machine learning models.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Solid understanding of fundamental machine learning concepts and algorithms.
• Proficiency in Python programming language.
• Familiarity with at least one major deep learning framework (TensorFlow, PyTorch, Keras).
• Basic knowledge of data structures, algorithms, and software development principles.
• Excellent problem-solving skills and a strong desire to learn.
• Good communication and teamwork skills, especially in a remote setting.
• Ability to work independently and manage time effectively.
• Enthusiasm for artificial intelligence and emerging technologies.
• Experience with version control systems (e.g., Git) is a plus.

• Assist in the development, testing, and deployment of software applications with AI/ML components.
• Write clean, maintainable, and efficient code in languages such as Python, Java, or C++.
• Collaborate with senior developers and data scientists to integrate machine learning models into production systems.
• Participate in code reviews, contributing to code quality and team knowledge sharing.
• Help in data preprocessing, feature engineering, and model evaluation tasks.
• Troubleshoot and debug software issues, providing timely resolutions.
• Learn and implement software development best practices, including version control (Git) and agile methodologies.
• Contribute to technical documentation and project reports.
• Engage in team meetings and discussions to understand project requirements and contribute ideas.
• Continuously learn new technologies and techniques in software development and AI/ML.

• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
• Solid understanding of fundamental programming concepts, data structures, and algorithms.
• Proficiency in at least one programming language (e.g., Python, Java, C++).
• Exposure to or a strong interest in Artificial Intelligence, Machine Learning, or Data Science.
• Familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus.
• Basic knowledge of databases and SQL is beneficial.
• Good analytical and problem-solving skills.
• Effective communication skills, both written and verbal, for remote collaboration.
• Ability to work independently, manage tasks effectively, and be a proactive team player in a remote setting.
• Eagerness to learn and adapt to new challenges.