AI Safety Practitioner

16 ago - Roma
Mercor

About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: AI Safety Practitioner
Type: Contract
Compensation: $60–$70/hour
Location: Remote
Role 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.

Qualifications
Must-Have
- 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
- 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.

Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form

Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your

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