Data Annotation Expert
@ Work sphere Global

Hybrid
$46,800
Hybrid
Part Time
Posted 17 hours ago

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Job Details

Role Overview

Mercor is collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. As a Data Annotation Expert, you will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies.

Key Responsibilities

  • Synthesize information from large volumes of data.
  • Annotate and categorize text, images, and other data following detailed guidelines.
  • Apply predefined rubrics and taxonomies to produce structured, high-quality outputs.
  • Flag inconsistencies, ambiguities, or errors in datasets.
  • Contribute to the improvement of AI systems through consistent annotation work.

Ideal Qualifications

  • Based in the United States.
  • Ability to synthesize complex or high-volume information into structured formats.
  • Strong critical reasoning, reading comprehension, and written communication skills.
  • Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required).

More About the Opportunity

This is a remote and asynchronous role where contractors set their own schedules. The expected commitment is approximately 20 hours per week and the project duration is through the end of October, with a potential extension through year-end.

Compensation & Contract Terms

The role pays $45 per hour for U.S.-based contractors, with payments issued weekly via Stripe Connect. Contractors are classified as independent service providers.

Application Process

  • Submit your resume to begin.
  • Complete a Training Assessment.
  • Typical response time: 1–2 business days.

Key skills/competency

  • Data Annotation
  • AI Systems
  • Taxonomies
  • Data Labeling
  • Remote Work
  • Attention to Detail
  • Critical Reasoning
  • Guidelines
  • Contract Work
  • Communication

How to Get Hired at Work sphere Global

🎯 Tips for Getting Hired

  • Customize your resume: Align skills with data annotation requirements.
  • Highlight remote work experience: Showcase self-management and discipline.
  • Emphasize detail orientation: Provide examples of precise work.
  • Research Work sphere Global: Understand their projects and AI focus.

📝 Interview Preparation Advice

Technical Preparation

Review annotation software tutorials.
Practice labeling diverse dataset samples.
Study predefined taxonomies and rubrics.
Test data consistency tools and guidelines.

Behavioral Questions

Describe handling repetitive tasks under deadlines.
Explain examples of attention to detail.
Discuss managing time in remote settings.
Outline approach to resolving data ambiguities.

Frequently Asked Questions