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Data Labeling Specialist Fully Remote

Data Labeling Specialist Fully Remote

ConfidentialIndia
19 days ago
Job type
  • Remote
Job description

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 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 (Takes 20-30 mins to complete)

  • Submit your resume.
  • 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 help or support, reach out to : [HIDDEN TEXT]

    • PS : Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

    Skills Required

    applying rubrics, data annotation

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