Data Entry Specialist
@ Mercor

Hybrid
$41,600
Hybrid
Contractor
Posted 1 day ago

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XXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX****** @mercor.com
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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 as per guidelines.
  • Apply predefined rubrics and taxonomies to ensure 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 or high-volume information; excellent written communication skills.

Preferred: Prior experience using rubrics, taxonomies, or standardized guidelines.

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. Complete the Preference Selection Calibration Assessment. Typical response time: 3-5 business days.

Resources & Support

For interview process details and platform information, please check: https://talent.docs.mercor.com/welcome/welcome.For help, contact: support@mercor.com

Key skills/competency

  • Data Annotation
  • Labeling
  • Taxonomies
  • Rubrics
  • Data Synthesis
  • AI Systems
  • Data Categorization
  • Communication
  • Attention to Detail
  • Remote Work

How to Get Hired at Mercor

🎯 Tips for Getting Hired

  • Resume customization: Tailor your experience to data annotation.
  • Research Mercor: Understand their AI projects and culture.
  • Highlight skills: Emphasize data categorization and synthesis.
  • Prepare examples: Bring prior rubric and taxonomy work.

📝 Interview Preparation Advice

Technical Preparation

Practice data categorization exercises.
Review guidelines for annotation.
Familiarize with AI data systems.
Study rubric application techniques.

Behavioral Questions

Describe past data synthesis experience.
Explain handling ambiguous datasets.
Share teamwork in remote settings.
Discuss time management under guidelines.

Frequently Asked Questions