AI Safety Coordinator Job Description Template

Use this AI Safety Coordinator job description template to attract professionals who can help manage, track, and enforce AI safety standards in research and deployment environments.
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Responsibilities & Skills

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 Safety Coordinator Job Description Template

ob Title: AI Safety Coordinator

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


About the Role

We are seeking an AI Safety Coordinator to support the development, monitoring, and enforcement of safety protocols in AI research and deployment. This role is essential in ensuring that advanced AI systems are designed, tested, and implemented with clear guardrails, responsible oversight, and alignment with human values.

You will coordinate across research, engineering, policy, and operations teams to track safety risks, maintain documentation, and support risk assessments throughout the AI lifecycle.


Key Responsibilities

  • Assist in the implementation and management of AI safety frameworks, checklists, and review processes
  • Coordinate safety evaluations, including red teaming, alignment testing, and adversarial robustness assessments
  • Track and document known model limitations, failure modes, and mitigation strategies
  • Schedule and facilitate safety reviews for model deployments, updates, and experiments
  • Support compliance efforts aligned with emerging AI safety standards, such as ISO/IEC 42001 or the EU AI Act
  • Communicate with cross-functional teams to ensure risks are properly identified, prioritized, and addressed
  • Stay informed on developments in AI safety research, policy, and regulation

Qualifications

  • Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Ethics, Policy, or Risk Management)
  • Familiarity with AI/ML technologies and common risks associated with advanced models
  • Experience coordinating cross-disciplinary projects or compliance workflows
  • Strong organizational and documentation skills
  • Excellent communication skills; ability to translate complex technical risks into actionable plans

Preferred Qualifications

  • Prior experience in AI governance, safety, or regulatory compliance
  • Understanding of technical alignment research, model interpretability, or robustness testing
  • Experience working in high-stakes or safety-critical environments (e.g., healthcare, defense, finance)
  • Familiarity with tools for incident tracking, risk registers, or audit workflows
  • Passion for safe and ethical AI development

What We Offer

  • A mission-driven culture committed to safe and beneficial AI
  • Access to leading AI research teams and safety experts
  • Opportunities for growth in technical program management or AI risk strategy
  • Competitive salary, flexible work arrangements, and strong professional development support

How to Apply

Please submit your resume and a brief statement on your interest in AI safety or experience coordinating technical risk or compliance programs.

Frequently Asked Questions
What is the purpose of this AI Safety Coordinator 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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