Career guide

Remote AI safety and governance jobs: a career guide

AI safety covers the research, engineering, and policy work that keeps advanced AI systems reliable and well governed. Frontier AI labs, governments, and non-profits all hire for it, and many of these roles are remote or hybrid.

What is AI safety?

AI safety covers the research, engineering, and policy work aimed at making advanced AI systems reliable, aligned with human values, and governed responsibly. The field splits broadly into two tracks:

  • Technical alignment — Research on making AI systems do what we intend: interpretability, RLHF, red-teaming, evaluation science.
  • Governance and policy — Designing regulation, standards, and institutional frameworks: export controls, safety benchmarks, international coordination.

The two tracks overlap. Policy decisions need technical literacy, and technical work is shaped by regulation.

Key skills employers look for

  • ML fundamentals — Transformers, reinforcement learning, evaluation methodology.
  • Interpretability and red-teaming — Probing model behaviour, adversarial testing, jailbreak analysis.
  • Policy analysis — Translating technical concepts into regulatory language (EU AI Act, NIST AI RMF).
  • Research communication — Explaining complex findings to policymakers, media, and the public.
  • Programme management — Running research agendas, allocating funding, coordinating distributed teams.
  • Security engineering — Model security, supply-chain integrity, access controls for frontier systems.

How to get started

The best starting point depends on your background:

  • Software engineers: Look at alignment research programmes such as MATS (ML Alignment & Theory Scholars) or Redwood Research's residency.
  • Policy professionals: Look at fellowships at GovAI or the AI Policy Institute.
  • Generalists: Safety-focused non-profits need operations and communications staff, and 80,000 Hours lists these among the high-impact roles in the field.

Show your interest in public. Write posts on the AI Alignment Forum, attend EAGx conferences, and work on open problems from published alignment research agendas. The community is small and pays attention to demonstrated interest.

Organisations hiring

Anthropic

Safety-focused AI lab that builds Claude, with research on interpretability and Constitutional AI. Mostly San Francisco-based, with some remote roles.

Focus: research, engineering. Pay: $150K–400K+.

GovAI (Centre for the Governance of AI)

Research organisation working on AI governance. Offers research fellowships, policy analyst roles, and summer programmes, and many alumni move into government positions.

Focus: policy, fellowships. Location: UK-based.

Center for AI Safety (CAIS)

Research and advocacy organisation focused on reducing catastrophic risks from AI. Hires operations, communications, and research staff. San Francisco-based with remote options.

Focus: advocacy, operations. Location: remote-friendly.

Frequently asked questions

What is AI safety and why does it matter?

AI safety is the field dedicated to ensuring that artificial intelligence systems behave as intended, remain under human control, and do not cause unintended harm. As AI capabilities grow, it has become a priority for researchers, policymakers, and engineers who want to shape how these systems are built and deployed.

Do I need a PhD to work in AI safety?

Not necessarily. Core alignment research roles often prefer PhD-level candidates, but the wider field has many entry points: policy analysis, communications, operations, field-building, and software engineering. 80,000 Hours reports that operations and strategy roles at AI safety organisations are highly impactful and do not require research credentials.

Which organisations hire for remote AI safety roles?

Anthropic, OpenAI, DeepMind, Redwood Research, MIRI, the Center for AI Safety, and GovAI. Many policy roles sit within think tanks such as the Center for a New American Security (CNAS) and the Institute for AI Policy and Strategy. Most of these organisations offer remote or hybrid arrangements.

What salary can I expect in AI safety?

Research scientists and ML engineers at frontier labs earn $150,000 to $400,000+. Policy analysts and programme managers typically earn $80,000 to $140,000. Operations and communications roles range from $60,000 to $110,000. Non-profit salaries are generally lower than industry.

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