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Generalist Data Labeling Specialist – Remote

Call For Referral

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Original Job Summary

About the Role

The Generalist Data Labeling Specialist – Remote role supports advanced AI systems by categorizing, labeling, and structuring diverse datasets. Working with a leading AI research initiative, you will help improve model accuracy and reasoning by ensuring data quality and consistency.

Key Responsibilities

  • Synthesize large volumes of information into clear outputs.
  • Annotate and classify text, images, and multimedia data.
  • Apply standardized rubrics and taxonomies for consistent labeling.
  • Identify and flag errors, ambiguities, or inconsistencies in datasets.
  • Contribute to enhancing AI reasoning and perception systems.

Ideal Qualifications

  • Based in the United States.
  • Strong ability to process and structure complex information.
  • Excellent reading comprehension, analytical, and writing skills.
  • Experience in data labeling, content moderation, taxonomy development or linguistic annotation (preferred but not required).
  • Comfortable working independently and maintaining quality under flexible scheduling.

Project Timeline & Compensation

Start Date: Immediate Duration: Through October (potential extension through year-end) Commitment: ~20 hours/week Schedule: Fully remote and asynchronous Rate: $45 USD/hour (U.S.-based contractors) Contract Type: Independent contractor Payments: Weekly via Stripe Connect

Application & Onboarding Process

  • Submit your resume to begin the process.
  • Complete a short Training Assessment to demonstrate attention to detail.
  • Receive a response within 1–2 business days with next steps.
  • Mercor team reviews applications daily.

Key skills/competency

  • Data Annotation
  • Data Labeling
  • Taxonomy
  • AI Systems
  • Detail-Oriented
  • Analytical
  • Remote Work
  • Independent
  • Content Moderation
  • Quality Control

How to Get Hired at Call For Referral

🎯 Tips for Getting Hired

  • Customize Resume: Align experiences with data annotation skills.
  • Highlight Accuracy: Emphasize attention to detail in past roles.
  • Showcase Remote Work: Stress independent working proficiency.
  • Study AI Basics: Understand AI systems and data taxonomies.

📝 Interview Preparation Advice

Technical Preparation

Practice dataset annotation exercises.
Review labeling guidelines and taxonomies.
Familiarize with AI system basics.
Test data quality control methods.

Behavioral Questions

Describe handling ambiguous project instructions.
Explain maintaining quality under remote scheduling.
Illustrate problem-solving during independent tasks.
Share conflict resolution in team feedback.