AI Ethics & Safety Specialist Job Description Template

Use this AI Ethics & Safety Specialist job description template to attract professionals focused on the responsible, compliant, and ethical development of AI systems in real-world settings.
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If you’re hiring a specific type of engineering roles, you can use this template as a foundation and customize  it to highlight the responsibilities, skills, and qualifications relevant to that role.

AI Ethics & Safety Specialist Job Description Template

Job Title: AI Ethics & Safety Specialist

Location: Remote / Hybrid / [City, State]
Job Type: Full-time
Department: AI Governance / Research / Risk & Compliance

About the Role

We are seeking an AI Ethics & Safety Specialist to help shape the responsible development and deployment of artificial intelligence systems. In this role, you will assess ethical risks, guide the design of safe and trustworthy AI, and help implement standards that align with both organizational values and regulatory requirements.

This role sits at the intersection of technology, ethics, and policy, and requires close collaboration with engineering, product, legal, and executive teams.

Key Responsibilities

  • Evaluate ethical, safety, and social implications of AI models and applications
  • Develop and maintain AI governance frameworks, including model audits, fairness assessments, and documentation protocols
  • Collaborate with product and engineering teams to integrate ethical principles into the AI development lifecycle
  • Lead or support the implementation of red teaming, impact assessments, and alignment techniques
  • Monitor evolving regulations and best practices related to AI ethics and compliance
  • Conduct research or analysis on emerging risks (e.g., bias, misuse, misinformation, algorithmic harm)
  • Promote internal awareness of AI safety principles through training, workshops, and documentation

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Ethics, Philosophy, Law, Public Policy, or a related field
  • Demonstrated experience in AI safety, responsible AI, digital ethics, or algorithmic auditing
  • Understanding of machine learning fundamentals and how AI models operate in practice
  • Familiarity with fairness and interpretability tools (e.g., SHAP, LIME, Aequitas)
  • Strong analytical and communication skills; ability to work across technical and non-technical teams

Preferred Qualifications

  • Experience with impact assessments (e.g., data protection, algorithmic accountability, bias audits)
  • Background in regulatory frameworks such as the EU AI Act, GDPR, or NIST AI RMF
  • Research experience or publications in AI ethics or safety
  • Knowledge of generative AI and associated risks (e.g., hallucinations, deepfakes, misuse)

What We Offer

  • A mission-driven culture focused on building safe and equitable AI
  • Opportunities to contribute to groundbreaking AI systems and their societal impact
  • Collaboration with top researchers, engineers, and policy experts
  • Competitive compensation, remote flexibility, and professional development support

How to Apply

Please submit your resume along with a short statement (or writing sample) reflecting your perspective on responsible AI or a past project related to ethics or safety in AI.

Frequently Asked Questions
What is the purpose of this AI Ethics & Safety Specialist Job Description Template?

This template provides a standardized format for creating professional job descriptions that effectively communicate role requirements, responsibilities, and company information to potential candidates. It helps ensure consistency across your organization’s hiring materials while saving time in the recruitment process.

Replace all placeholder text with information specific to your open position. Pay special attention to sections like requirements, responsibilities, and qualifications to ensure they accurately reflect the needs of the role.

This job description template helps in recruitment by clearly defining the role and expectations, attracting qualified candidates, and streamlining the selection process. It serves as a reference during interviews and evaluations.

  • Include relevant keywords and industry-standard job titles
  • Use common terminology for skills and qualifications
  • Structure your content with clear headings
  • Avoid excessive formatting that might not translate across platforms
  • Ensure mobile-friendly content (concise paragraphs, scannable bullets)

Essential sections include:

  • Job title
  • Company overview
  • Position summary
  • Key responsibilities
  • Required qualifications/skills
  • Preferred qualifications
  • Compensation and benefits information
  • Equal opportunity statement

Strong Introduction:

  • Highlight technical challenges and impact
  • Mention key technologies and team culture

Specific Responsibilities:

  • Use concrete examples instead of vague statements
  • Clarify collaboration expectations and decision authority

Clear Requirements:

  • Separate must-have from nice-to-have skills
  • Include both technical and professional qualifications

Showcase Culture:

  • Describe engineering practices (code reviews, pair programming)
  • Highlight growth opportunities and unique developer benefits
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