Data Annotation Specialist
@ Call For Referral

Hybrid
$46,800
Hybrid
Part Time
Posted 7 hours ago

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Job Details

About the Role

A leading AI research initiative is seeking detail-oriented generalists to support the development and fine-tuning of advanced AI systems. As a Data Annotation Specialist, you will help improve AI model accuracy and reasoning by categorizing, labeling, and structuring diverse datasets. Your work directly influences the quality, reliability, and interpretability of next-generation AI technologies.

Key Responsibilities

  • Synthesize large volumes of information into clear, structured outputs.
  • Annotate and classify text, images, and multimedia data per project guidelines.
  • Apply standardized rubrics and taxonomies to ensure consistent labeling quality.
  • Identify and flag errors, ambiguities, or inconsistencies in datasets.
  • Contribute to the evaluation and enhancement of AI reasoning and perception systems.

Ideal Qualifications

  • U.S.-based candidate.
  • Strong ability to process and structure complex information efficiently.
  • Excellent reading comprehension, analytical, and writing skills.
  • Experience in data labeling, content moderation, taxonomy development, or linguistic annotation is preferred.
  • Ability to work independently and maintain quality under flexible scheduling.

Project Timeline

Start Date: ImmediateDuration: Through October with potential extension through year-endCommitment: Approximately 20 hours per week

Work Arrangement & Compensation

This is a fully remote, asynchronous role with flexible working hours. Compensation is $45 USD per hour, paid weekly via Stripe Connect on an independent contractor basis.

Application & Onboarding Process

  • Submit your resume to begin the process.
  • Complete a short training assessment to demonstrate attention to detail and comprehension.
  • Receive a response within 1–2 business days with the next steps.

Key skills/competency

  • Data Annotation
  • Labeling
  • Classification
  • AI
  • Dataset Structuring
  • Quality Assurance
  • Taxonomy
  • Detail-Oriented
  • Analytical
  • Remote Work

How to Get Hired at Call For Referral

🎯 Tips for Getting Hired

  • Research Call For Referral's culture: Understand their AI-focused mission and values.
  • Customize your resume: Highlight data labeling and analytical skills.
  • Prepare detailed examples: Demonstrate previous annotation work experience.
  • Practice interview insights: Emphasize meticulous attention to detail.

📝 Interview Preparation Advice

Technical Preparation

Practice annotating diverse datasets accurately
Review data labeling standards and best practices
Familiarize with classification tools and software
Study rubrics and quality metrics documentation

Behavioral Questions

Demonstrate attention to detail consistently
Show ability to work independently under pressure
Communicate clearly and effectively
Adapt to flexible scheduling challenges

Frequently Asked Questions