This job post has expired on June 15, 2026. It is likely that the position has already been filled.
AI Data Generalist & Annotator at Mercor
posted 5 months agoAI Data Generalist & Annotator | $30–60/hr | Worldwide Remote | Part-Time
Mercor is seeking detail-oriented generalists to support data quality control and annotation projects with leading AI labs. In this role, you will review, evaluate, and label AI-generated outputs to help benchmark and improve cutting-edge AI models across a variety of domains — all in a structured, low-pressure environment with clear guidelines.
Key Responsibilities
- Review and rate AI-generated outputs across research and legal domains
- Annotate data and apply consistent judgment across large volumes of tasks
- Flag quality issues and ensure data accuracy in line with detailed rubrics
- Follow structured evaluation guidelines to support AI model improvement
Qualifications
- Currently pursuing or recently completed a Master's degree, or 2–3 years of relevant experience with a Bachelor's from a reputable institution
- Strong attention to detail with the ability to maintain consistency across high-volume tasks
- Excellent written communication and research skills
- Ability to understand and apply detailed rubrics and evaluation guidelines
- Background in law, STEM, humanities, or social sciences is a plus
Role Details
- Part-time commitment of approximately 10–20 hours per week
- Structured, well-defined tasks with clear guidelines — no high-pressure environment
- Immediate start preferred
Application & Onboarding Process
- Submit your resume
- Complete a brief 15-minute AI interview to assess research and reasoning skills
- Complete a short paid assessment to evaluate your fit for the role
- Receive follow-up communication within a few days regarding next steps
Compensation: $30–$60 per hour, depending on experience and task type.
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.