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AI Safety Practitioner

$60–$70/h

United States / Denmark / Estonia / Finland / Iceland / Ireland / Latvia / Lithuania / Norway / Sweden / Austria / Belgium / France / Germany / Liechtenstein / Luxembourg / Monaco / Netherlands / Switzerland / United Kingdom / Albania / Bosnia and Herzegovina / Croatia / Greece / Italy / Kosovo / Malta / North Macedonia / Portugal / San Marino / Serbia / Slovenia / Spain / Bulgaria / Czechia / Hungary / Moldova / Poland / Romania / Slovakia

Role overview

We are seeking experienced AI Safety Practitioners to evaluate the safety, quality, and alignment of frontier AI models across complex, policy-sensitive, and ambiguous ("grey-area") topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback.

Responsibilities

- Evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality.

- Review content involving misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains.

- Apply and refine evaluation rubrics for RLHF, SFT, and AI safety benchmarking.

- Identify unsafe outputs, hallucinations, reasoning failures, and policy violations.

- Provide structured feedback to improve model alignment and safety performance.

- Collaborate with AI researchers and safety teams on ongoing evaluation initiatives.

Required Qualifications

- Bachelor's degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or a related discipline.

- 5+ years of professional experience in AI Safety, Trust & Safety, journalism, public policy, scientific research, security, or a related field.

- Excellent written English, critical thinking, and analytical reasoning skills.

- Ability to consistently evaluate nuanced and policy-sensitive scenarios.

Preferred Qualifications

- Experience with AI Safety, RLHF, SFT, Trust & Safety, or AI evaluation.

- Familiarity with safety policies, content moderation, or evaluation rubric development.

- Experience reviewing complex, high-risk, or ambiguous content.

Why Join?

- Shape the safety and behaviour of frontier AI models used by millions worldwide.

- Work on challenging, real-world safety evaluations across nuanced and high-impact domains.

- Collaborate with leading AI researchers, engineers, and safety teams.

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Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →