Posted over 30 days ago. Roles like this often stay open for a while, so it's still worth applying.
AI Data Generalist / Annotator at Mercor
posted 3 months agoAI Data Generalist | $50/hr | Worldwide Remote
Mercor is hiring highly detail-oriented Generalists on behalf of a leading AI lab to support human data pipelines used to train and evaluate advanced AI systems. This role is perfect for precision-driven professionals who take pride in consistently high-accuracy work across structured evaluation, labeling, and review tasks.
What You'll Do
- Review, evaluate, and annotate AI outputs with extreme attention to detail
- Follow complex guidelines precisely and apply them consistently across tasks
- Identify subtle errors, edge cases, and quality issues others might miss
- Provide clear, structured feedback to improve downstream AI training quality
- Maintain high accuracy across repetitive, high-volume workflows
- Proactively flag unclear instructions or ambiguous cases
What We're Looking For
- Exceptionally detail-oriented and quality-obsessed mindset
- Prior experience as a contractor, reviewer, or rater in human data or AI training pipelines
- Proven ability to follow nuanced instructions without deviation
- Strong written communication and reasoning skills
- High reliability, consistency, and comfort with repetitive precision work
- Ability to work independently and maintain focus over long task batches
Nice to Have
- Experience with large-scale AI data annotation or evaluation programs
- Background in QA, operations, trust & safety, or structured review work
- Familiarity with multi-step rubric-based evaluations
- Comfort giving calibrated feedback aligned with strict quality bars
Why Join
- Work directly on training next-generation AI systems
- Clear expectations and a quality-first culture
- Long-term opportunity for consistent, high-quality contributors
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.