AI Trainer - Data Annotation Specialist (Safety)

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.

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, 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