Part Time Responsible AI Analyst - Responsible AI Consultant - Responsible AI Manager Jobs, in Learn Designing - Maukerja

Role Description

Support the responsible development, procurement, deployment, and use of artificial intelligence. Translate ethical principles, organizational policies, and applicable requirements into practical governance, assessments, and controls that help teams manage AI risks throughout the lifecycle.

Key Responsibilities

• Assess AI use cases for potential impacts on individuals, communities, and business operations.
• Evaluate risks relating to fairness, privacy, transparency, reliability, safety, security, and human oversight.
• Maintain AI inventories, risk classifications, assessment records, and governance documentation.
• Develop policies, assessment methods, review procedures, and guidance proportionate to intended use and risk.
• Partner with technical teams to define evaluation criteria, review evidence, and document limitations.
• Recommend safeguards, escalation routes, monitoring requirements, and conditions for deployment.
• Support reviews of third-party AI tools, models, and vendor assurance documentation.
• Coordinate with legal, privacy, security, compliance, and business teams to interpret requirements and assign responsibilities.
• Track mitigation actions, unresolved issues, approvals, and exceptions.
• Support incident reviews and reassessment when systems, uses, or operating conditions change.
• Prepare reports and training that explain AI risks and responsibilities to technical and nontechnical audiences.
• Monitor relevant developments in AI governance and recommend updates to organizational practices.
• For management roles, lead governance programs, prioritize reviews, and oversee team delivery and reporting.

Qualifications

• Relevant experience in responsible AI, AI governance, technology risk, data science, model risk, ethics, compliance, or a related field.
• Understanding of AI and machine learning lifecycles, including generative AI capabilities and limitations.
• Ability to assess how intended use, data, system design, and deployment context influence risk.
• Familiarity with impact assessments, risk evaluation, control design, and assurance documentation.
• Ability to interpret technical findings and translate them into practical recommendations.
• Strong analytical, research, and problem-solving skills.
• Clear writing, presentation, and stakeholder engagement skills.
• Sound judgment when balancing competing interests and escalating unresolved concerns.
• A degree in computer science, data science, law, public policy, philosophy, social sciences, or a related field, or equivalent practical experience.
• For manager roles, experience leading cross-functional governance initiatives and advising senior stakeholders.

Preferred Qualifications

• Experience with bias and robustness evaluations, explainability methods, or human oversight design.
• Familiarity with recognized AI risk management frameworks and management system standards.
• Exposure to AI procurement, third-party assurance, audit, or sector-specific governance.
• Experience implementing governance workflows and monitoring control effectiveness.
• Relevant qualifications in AI governance, privacy, risk management, or a related discipline.

Scope by Role

• Responsible AI Analyst: Conducts research and assessments, reviews evidence, maintains records, and tracks risk mitigation under guidance.
• Responsible AI Consultant: Advises teams or clients on governance design, impact assessments, safeguards, and implementation.
• Responsible AI Manager: Leads responsible AI programs, oversees assessment and escalation processes, and advises leadership on significant risks and governance priorities.