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AI Trainer - Data Annotation Specialist (Safety) at Turing

posted 1 hour ago
turing.com Contractor remote Varies 32 views

AI Trainer - Data Annotation Specialist (Safety) | Hourly | Remote

About the Role

Turing, an AI company that works with frontier AI labs and global enterprises, is hiring data annotators to evaluate AI-generated responses against defined safety policies. This is a non-coding role for candidates with strong communication skills, native-level English proficiency, close-reading ability, sound judgment, and excellent attention to detail.

What You'll Do

  • Evaluate AI-generated responses against defined safety policies and sub-policies.
  • Review single-turn and multi-turn conversations for safety, accuracy, and policy compliance.
  • Assign consistent 1–5 ratings based on established evaluation criteria.
  • Write clear, concise, evidence-based justifications for each rating.
  • Identify subtle safety concerns involving self-harm, violence, abuse, and other sensitive topics.

Requirements

  • Strong interest in data annotation and AI evaluation, with excellent English proficiency.
  • Excellent reading comprehension and close-reading skills.
  • Ability to write clear, concise, objective evaluations.
  • Excellent attention to detail and awareness of subtle nuances.
  • Strong judgment and ability to follow detailed safety policies.
  • Ability to work accurately under time constraints.
  • Comfort reviewing sensitive content involving self-harm, violence, and abuse.
  • Familiarity with US-specific references, systems, and terminology.

Preferred Qualifications

  • Experience in data annotation, content moderation, or policy review.
  • Background in trust and safety, AI training, or response evaluation.
  • Experience in editorial review, proofreading, compliance, or quality assurance.
  • Familiarity with structured rating systems and evaluation rubrics.
  • Experience reviewing single-turn and multi-turn conversations.

Project Details

  • Pay: Hourly (rate not specified).
  • Estimated start date: 23 October (or nearby dates).
  • Duration: 1–2 weeks, with potential for extension.
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