Data Entry 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, 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 following detailed guidelines.
- Apply predefined rubrics and taxonomies for high-quality outputs.
- Flag inconsistencies, ambiguities, or errors in datasets.
- Directly influence the improvement of AI systems.
Requirements / Qualifications
Must-Have Qualifications:
- Based in the United States.
- Ability to synthesize complex or high-volume information into structured formats.
- Excellent written communication skills.
Preferred Qualifications:
- 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/hour. Payments issued weekly via Stripe Connect. Contractors are classified as independent service providers.
Application Process
Submit your resume, then take the Preference Selection Calibration Assessment. Typical response time: 3-5 business days.
Resources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome For any support, reach out to: support@mercor.com
Key skills/competency
- Data Annotation
- Data Categorization
- Taxonomies
- Remote Work
- AI Systems
- Analytical Skills
- Detail Orientation
- Communication
- Contract Work
- Data Synthesis
How to Get Hired at Mercor
🎯 Tips for Getting Hired
- Customize Resume: Tailor your resume to highlight data skills.
- Research Mercor: Understand their mission and investor background.
- Prepare Examples: Showcase previous annotation or taxonomy work.
- Practice Interview: Familiarize with data categorization tasks.