Data Labeling Expert @ Mercor
Your Application Journey
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Job Details
Company Introduction
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.
Role Overview
Position: Data Annotation Specialist – Contract, Remote Commitment: 20 hours per week, through December with potential for extension. Work on improving 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 in line with detailed guidelines.
- Apply predefined rubrics and taxonomies to ensure structured, high-quality outputs.
- Flag inconsistencies, ambiguities or errors in datasets.
- Directly influence the improvement of AI systems.
Requirements / Qualifications
Must-Have: Based in the United States, ability to synthesize complex data into structured formats, and excellent written communication skills.
Preferred: Prior experience applying rubrics, taxonomies, or standardized guidelines to tasks.
Engagement Details
Remote and asynchronous — contractors set their own schedules. US-based contractor rate: $40 per hour. Payments issued weekly via Stripe Connect. Contractors are classified as independent service providers.
Application Process
Submit your resume, complete the Preference Selection Calibration Assessment, and expect a response within 3-5 business days.
Resources & Support
For interview process and platform details, please visit this link. For help or support, email support@mercor.com.
Key skills/competency
- Data Annotation
- Taxonomies
- Data Categorization
- AI Systems
- Data Synthesis
- Quality Assurance
- Remote Work
- Communication
- Detail-Oriented
- Contract Work
How to Get Hired at Mercor
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant data annotation experience.
- Research Mercor's culture: Review mission, values, and investor background.
- Follow application steps: Complete AI interview and calibration assessment.
- Prepare examples: Showcase prior rubric or taxonomy tasks.