AI Safety Practitioner

Great Value Hiring; United States; On-site; USD 82,656 - 96,432; Full time

Job summary

Great Value Hiring seeks an AI Safety Practitioner to evaluate frontier AI models for safety, quality, and alignment across nuanced topics and guide model behavior through structured evaluations.

The role involves applying safety policies, providing clear feedback, and collaborating with researchers to refine RLHF/SFT rubrics, with a focus on policy-sensitive content and high-risk domains.

Qualifications

• Bachelor’s degree or higher in journalism, communications, psychology, public policy, or a related field.
• 5+ years of professional experience in AI safety, trust & safety, journalism, public policy, or related areas.
• Excellent written English and strong analytical reasoning.
• Ability to evaluate nuanced, policy-sensitive scenarios.

Responsibilities

• Evaluate AI-generated responses for safety, factual accuracy, and policy compliance.
• Review content involving misinformation, political persuasion, self-harm, violence, and other sensitive domains.
• Apply and refine rubrics for RLHF, SFT, and AI safety benchmarking.
• Identify unsafe outputs, hallucinations, and policy violations.
• Provide structured feedback to improve model alignment and safety performance.
• Collaborate with AI researchers and safety teams on evaluation initiatives.

Skills

Critical thinking

Analytical reasoning

Written English

Education

Bachelor's degree or higher in a related field

Job description

AI Safety Practitioner [$60-$70/hr]

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

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

Good Candidature

• 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

Nice to Have

• 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