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Data Annotation Specialist
Call For Referral
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Original Job Summary
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
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Practice annotating diverse datasets accurately
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Review data labeling standards and best practices
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Familiarize with classification tools and software
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Study rubrics and quality metrics documentation
Behavioral Questions
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Demonstrate attention to detail consistently
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Show ability to work independently under pressure
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Communicate clearly and effectively
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Adapt to flexible scheduling challenges