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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 at Call For Referral supports advanced AI research by annotating and categorizing diverse datasets. You will enhance AI model accuracy and reasoning by structuring information, ensuring data quality and consistency.

Key Responsibilities

  • Synthesize large volumes of information into clear, structured outputs.
  • Annotate and classify text, images, and multimedia data per guidelines.
  • Apply standardized rubrics and taxonomies to maintain quality.
  • Identify and flag errors or inconsistencies in datasets.
  • Assist in evaluating and enhancing AI reasoning 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, or taxonomy development (preferred).
  • Comfortable working independently with 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
  • Contract Type: Independent contractor
  • Payments: Weekly via Stripe Connect

Application & Onboarding Process

  • Submit your resume.
  • Complete a short training assessment.
  • Receive a response within 1–2 business days.
  • Mercor team reviews applications daily.

Key Skills/Competency

  • Data Annotation
  • Dataset Labeling
  • Quality Control
  • Attention to Detail
  • Analytical Skills
  • Content Moderation
  • Taxonomy Development
  • Independent Working
  • Remote Collaboration
  • Time Management

How to Get Hired at Call For Referral

🎯 Tips for Getting Hired

  • Customize Resume: Highlight data labeling and analytical expertise.
  • Research Call For Referral: Understand their AI initiatives and culture.
  • Emphasize Remote Skills: Demonstrate effective independent working.
  • Prepare for Assessments: Brush up on annotation techniques.

📝 Interview Preparation Advice

Technical Preparation

Review annotation tools and guidelines.
Practice data categorization exercises.
Study quality control processes.
Familiarize with AI dataset structures.

Behavioral Questions

Describe a challenging remote work scenario.
Explain your attention to detail.
Share teamwork examples in independent projects.
Discuss handling ambiguous instructions.