AI Safety Practitioner - Fully Remote | Upto $70/hr

Mercor links top creative and technical experts with leading AI research labs. Based in San Francisco, the company has notable investors including Benchmark, General Catalyst, and Peter Thiel. The AI Safety Practitioner will assess AI-generated responses for safety, accuracy, and policy adherence. This role involves reviewing content across various sensitive areas, such as misinformation, political persuasion, and self-harm. The practitioner will refine evaluation methods for AI safety and identify issues like unsafe outputs and policy violations. They will also provide feedback to enhance model performance and collaborate with AI researchers and safety teams on ongoing projects. Candidates must have a bachelor's degree or higher in fields like Journalism, Psychology, or Computer Science. They need at least five years of experience in AI Safety, journalism, or related areas. Strong written English skills, critical thinking, and the ability to evaluate complex scenarios are essential. Experience with AI safety evaluation, familiarity with safety policies, and the ability to review high-risk content are beneficial. The role is fully remote, offering flexibility in work location. What the role asks for: - A 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. - Experience with AI Safety, RLHF, SFT, Trust & Safety, or AI evaluation (nice-to-have). - Familiarity with safety policies, content moderation, or evaluation rubric development (nice-to-have). - Experience reviewing complex, high-risk, or ambiguous content (nice-to-have).