1,638 Graduate Research Assistant AI Ethics jobs in Kenya

• 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.

• Designing, developing, and deploying scalable and high-performance web applications and services for our AI platform.
• Building intuitive and responsive user interfaces using modern front-end frameworks (e.g., React, Vue, Angular).
• Developing and maintaining robust back-end services and APIs using languages such as Python, Node.js, or Go.
• Integrating front-end components with back-end services and databases.
• Working with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Collaborating closely with data scientists, AI engineers, product managers, and designers to deliver features and solutions.
• Writing clean, maintainable, and well-documented code, including unit and integration tests.
• Optimizing applications for maximum speed, scalability, and reliability.
• Participating in code reviews, architectural discussions, and technical decision-making.
• Troubleshooting and resolving complex technical issues across the full stack.
• Staying abreast of emerging technologies and industry best practices.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of professional experience in full-stack web development.
• Proficiency in front-end technologies (HTML, CSS, JavaScript/TypeScript) and modern JavaScript frameworks (React, Vue, or Angular).
• Strong experience with back-end development languages (Python, Node.js, Go, Java) and associated frameworks.
• Experience with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Cassandra).
• Familiarity with cloud computing platforms (AWS, Azure, GCP) and CI/CD pipelines.
• Understanding of RESTful API design principles and microservices architecture.
• Experience with version control systems (e.g., Git).
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
• Experience with AI/ML development environments or platforms is a strong 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.

About Tally

Tally is an AI-powered recruiting copilot developed by Nexa Consulting. Launching in January 2026, Tally

helps recruiters and startup founders save time by parsing CVs, matching candidates, and generating

interview insights. Our mission is to redefine recruiting efficiency and empower users worldwide.

Role

We are looking for a Community & Content Manager to shape and scale Tally's voice across digital

channels, engage with our growing community of recruiters and startup founders, and create content

that educates, inspires, and converts. You will work closely with our Growth Marketer to ensure content

and campaigns are fully aligned for maximum impact.

Responsibilities

• Plan, write, and publish high-quality content (LinkedIn posts, blog articles, newsletters, case studies).

• Create copy and visuals that make AI recruiting features simple and relatable.

• Support growth campaigns with landing page copy, ad creatives, and nurturing emails.

• Build and manage Tally's presence on LinkedIn and other relevant platforms.

• Respond to comments, DMs, and questions, fostering trust with early adopters.

• Organize webinars, demos, and community events to showcase product value.

• Collaborate with the Growth Marketer to align content with acquisition strategies.

• Track engagement metrics and optimize based on results.

Requirements (Must-Haves)

• 3+ years in content marketing, community management, or communications.

• Excellent copywriting skills in English (short and long form).

• Strong understanding of LinkedIn as a growth channel.

• Experience in building and engaging online communities.

• Startup mentality: proactive, creative, comfortable with fast iteration.

Nice-to-Haves

• Experience in HR Tech or SaaS.

• SEO/content optimization skills.

• Familiarity with tools like HubSpot, Hootsuite, Buffer.

• Basic design or video editing skills.

KPIs

• Growth in LinkedIn audience & engagement rate.

• Number of inbound leads generated via content.

• Community activity (webinar attendance, testimonials).

• Contribution to growth campaigns (content delivery & performance).

• Assist in the development and implementation of AI features within software applications.
• Write clean, maintainable, and efficient code under the guidance of senior developers.
• Participate in code reviews and learn best practices for software development.
• Collaborate with team members using remote collaboration tools (e.g., Slack, Zoom, Jira).
• Learn and apply various programming languages and frameworks relevant to AI and software development.
• Assist in testing and debugging software components to ensure quality and performance.
• Contribute to documentation for software modules and AI integrations.
• Engage in learning sessions and training provided by the mentor team.
• Troubleshoot and resolve basic software issues.
• Gain exposure to machine learning models, APIs, and data processing pipelines.
• Help in the deployment and monitoring of AI-integrated applications.
• Understand and adhere to software development lifecycle processes.
• Actively seek feedback and demonstrate a commitment to continuous learning and skill development.
• Support the team in various ad-hoc technical tasks as assigned.

• A recent graduate with a degree or diploma in Computer Science, Software Engineering, Information Technology, or a related technical field.
• Foundational knowledge of at least one programming language (e.g., Python, Java, C++).
• Basic understanding of data structures and algorithms.
• Familiarity with AI concepts and machine learning is a strong plus.
• Eagerness to learn and adapt to new technologies.
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities, essential for a remote setting.
• Self-motivated and able to manage time effectively while working remotely.
• Portfolio of personal projects or contributions to open-source is highly beneficial.
• A keen interest in artificial intelligence and its applications in software.
• Ability to follow instructions and work collaboratively in a virtual team environment.
• Must be legally eligible to work in Kenya.

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.