Data Annotation Specialist @ Mercor
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Job Details
Company Introduction
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Role Overview
Position: Data Annotation Specialist – Contract, Remote Commitment: 20 hours per week through December with potential for extension. Contribute to enhancing AI systems by categorizing and labeling data using predefined taxonomies.
Responsibilities
- Synthesize information from large volumes of data.
- Annotate and categorize text, images, and other data as per guidelines.
- Apply predefined rubrics and taxonomies for structured outputs.
- Flag inconsistencies, ambiguities, or errors in datasets.
- Directly influence AI system improvements.
Requirements / Qualifications
Must-Have: Based in the United States, ability to synthesize complex/high-volume data, excellent written communication skills.
Preferred: Prior experience with rubrics, taxonomies, or standardized guidelines.
Engagement Details
Remote and asynchronous — contractors set their own schedules. US-based contractor rate: $40/hour with weekly payments via Stripe Connect. Contractors are classified as independent service providers.
Application Process
Submit your resume, complete the Preference Selection Calibration Assessment (20-30 minutes), and expect a response in 3-5 business days.
Resources & Support
For interview process details and platform information, visit: Mercor Talent Docs. For support, email: support@mercor.com.
Key skills/competency
- Data Annotation
- Data Categorization
- Taxonomy
- Guidelines
- Data Synthesis
- Remote Work
- Contract
- Communication
- Quality Assurance
- AI Improvement
How to Get Hired at Mercor
🎯 Tips for Getting Hired
- Research Mercor's culture: Review mission, investors, and team background.
- Tailor your resume: Highlight data annotation and remote work skills.
- Prepare your portfolio: Include examples of structured data work.
- Practice interview skills: Focus on communication and technical details.