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What the work is
Role Overview
We are looking for 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, excellent attention to detail, close-reading ability, sound judgment, and the ability to write clear, concise evaluations.
Key Responsibilities
- 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, and evidence-based justifications for each rating.
- Identify subtle safety concerns involving self-harm, violence, abuse, and other sensitive topics.
Who gets hired
- Strong interest in data annotation and AI evaluation with excellent English proficiency.
- Excellent reading comprehension and close-reading skills.
- Ability to write clear, concise, and 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 with 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 is preferred.
- 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
- Project Pay -Hourly
- Estimated start date - 23 october (or nearby dates)
- Duration- 1-2 weeks (with potential chances of extension)
Application Process
- Submit an application with an updated resume and LinkedIn profile link.
- Talents will be selected based on internal team's and client's review
The platform posted this on 22 Oct 2026.