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AI safety, alignment, governance, responsible AI and trust & safety roles from AI labs and companies deploying AI.
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Personalization engines are powerful. Too powerful, sometimes. When a recommendation system learns that showing certain content at certain times incre...
Trust & safety
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We publish internally and submit to FAccT, AIES, and NeurIPS safety workshops. But unlike pure research labs, every finding we produce feeds directly...
Trust & safety
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AI regulation is moving fast — the EU AI Act, Biden's executive order, China's generative AI rules, Brazil's AI bill. Our clients are multinational te...
Trust & safety
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Our voice synthesis platform can clone a speaker's voice from 30 seconds of audio. That capability is incredibly useful for accessibility, content cre...
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The EU AI Act is here, and our clients — mid-size tech companies deploying AI in healthcare and finance — need to comply. Most of them don't know wher...
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Understanding why a model made a specific prediction isn't just an academic curiosity — it's a regulatory requirement in healthcare, a legal necessity...
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When a government changes a tax rate, raises minimum wage, or tightens environmental regulations, companies need to know the financial impact before i...
Trust & safety
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We manage data pipelines for 30 enterprise clients, and every one of them asks the same question: where does my data go, who has access, and is it com...
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Our content moderation platform uses RLHF to align model behavior with client-specific content policies. But alignment is fragile — models that behave...
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Our customers run trucks, not prototypes. They want fewer collisions, fewer false alerts, and hardware that behaves on bad roads and worse weather. Th...
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Career context
Safety and governance are now hiring tracks of their own
As AI systems reach millions of users, companies hire people to make them safe and accountable: alignment and safety researchers, red teamers, evaluation engineers, responsible AI and AI governance leads, and trust & safety specialists. Some roles are deeply technical; others combine policy, risk and compliance.
The roles below come from AI labs and companies building or deploying AI. Read each listing for the mix it expects — research and engineering, or governance, risk and regulation (for example the EU AI Act and internal model policies).
Why RemoteAI
Built for AI specialists.
Not general job boards.
Every company on RemoteAI is actively hiring AI talent. No noise, no ghost listings, no recruiter markups.
AI-only job listings
Every role on RemoteAI is an AI specialist position. No noise, no irrelevant listings from unrelated industries.
Direct access to hiring teams
No recruiter in the middle. Your application goes straight to the company making the decision. Faster responses, no markups.
Always free for candidates
Creating a profile, applying, and getting hired costs nothing. No placement fee, no revenue percentage, no exclusive contracts.
Salary shown upfront
Every listing shows compensation range before you apply. No wasted interviews with companies outside your range.
Fully remote positions
Every role is remote. Some require timezone overlap — the listing will specify. Filter by region if that matters to you.
Full application tracking
Track all your applications, messages, and interviews in one place. No more losing track of where you applied.
Step by step
How to find an AI safety specialist job on RemoteAI
Technical safety roles at AI labs are among the best paid in AI; governance and policy roles pay in line with senior risk and compliance positions. Each listing shows the employer's published range.
Pick your side of the field
Technical (evaluations, red teaming, interpretability) or governance (policy, risk, compliance). Say clearly which you are applying for.
Show concrete work
Published evaluations, red-team findings, policies you wrote, audits you ran. Specific outputs beat general interest in AI ethics.
Apply on the employer's page
Each listing links to the official application.
Profile guide
How to stand out as an AI safety specialist
Not all profiles get responses. These are the signals that separate candidates who get interviews from those who don't.
Evaluations and red teaming
Designing tests that find failures before users do is the core skill of technical safety work.
Regulation literacy
EU AI Act, NIST AI RMF, ISO 42001 — governance roles expect you to turn rules into processes.
Research depth
Alignment and interpretability roles look for papers, replications or open-source contributions.
Risk thinking
Threat models, incident response and clear severity judgments.
Clear writing
Safety and policy work ends in documents others must act on.
Cross-team influence
Getting product teams to adopt safeguards without blocking them is what makes this work effective.
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FAQ
Questions about AI safety and AI governance jobs
Everything you need to know before applying for your first AI safety specialist role.
Technical AI safety roles test and improve how models behave: evaluations, red teaming, alignment and interpretability research, and safeguards in products. Governance roles define the policies, risk processes and compliance that decide how AI is built and used.
Not always. Many governance, policy and responsible AI roles value law, risk, compliance or policy experience together with a working understanding of how AI systems are built.
The roles here are listed as remote by their employers, sometimes limited to certain countries. The location on each listing says where the company can hire.
Yes. Profiles, browsing and applying are free, with no cut of your salary.
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