Data Annotator
Mercor
Job Overview
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Job Description
About Mercor
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
This position is for a Data Annotator.
Role Responsibilities
- 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.
- Flag unclear instructions or ambiguous cases proactively.
Qualifications
Must-Have
- Exceptionally detail-oriented and quality-obsessed mindset.
- Prior experience as a CB / reviewer / 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.
Preferred
- 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.
Application Process
The application process takes approximately 20-30 minutes to complete:
- Upload resume
- Complete an AI interview based on your resume
- Submit form
Resources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
For any help or support, reach out to: support@mercor.com
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Key skills/competency
- Data Annotation
- AI Training
- Detail Orientation
- Quality Assurance
- Structured Feedback
- Error Identification
- High Accuracy
- Workflow Management
- Written Communication
- Independent Work
How to Get Hired at Mercor
- Research Mercor's mission: Study their focus on connecting talent with AI research labs and their investor backing.
- Tailor your resume: Customize your resume to highlight experience in data annotation, quality review, or AI training pipelines.
- Prepare for the AI interview: Practice articulating your detail-orientation, adherence to guidelines, and ability to provide structured feedback.
- Showcase attention to detail: Demonstrate precision and consistency in your application materials, mirroring job requirements.
- Highlight relevant background: Emphasize any QA, operations, or trust & safety experience, especially with rubric-based evaluations.
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