Data Quality Annotator | Upto $40/hr | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Quality Annotator, offering up to $40/hr, remote work, through December with potential extension. Requires strong organizational skills, excellent written communication, and detail orientation; experience with annotation guidelines preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
320
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πŸ—“οΈ - Date discovered
September 17, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Datasets #Data Quality
Role description
Crossing Hurdles is a recruitment firm. We connect top candidates with leading AI research labs to help build and train cutting-edge AI models. Position: Generalist Data Annotation Expert Type: Hourly Contract Compensation: $40/hour Location: Remote Duration: Through December, with potential extension Commitment: Approximately 20 hours/week (flexible, asynchronous) Role Responsibilities (Training support will be provided): β€’ Synthesize and interpret large volumes of diverse data. β€’ Annotate and categorize text, images, and other data types according to predefined detailed guidelines and taxonomies. β€’ Apply rubrics and standardization protocols to ensure consistent and high-quality output. β€’ Identify and flag inconsistencies, ambiguities, or errors within datasets. β€’ Contribute directly to the enhancement and refinement of AI systems. Requirements: β€’ Strong ability to organize and structure complex or large datasets. β€’ Excellent written communication skills. β€’ Experience with rubrics, taxonomies, or standardized annotation guidelines is preferred but not mandatory. β€’ Detail-oriented and able to work independently in a fully remote, asynchronous environment. Application Process: β€’ Submit your resume for consideration. β€’ Complete the Preference Selection Calibration Assessment as part of candidate calibration. β€’ Typical application review response time: 3–5 business days. P.S - This role is ideal for detail-focused individuals interested in contributing to AI data quality and annotation projects remotely. Due to high demand and immediate project needs, interested candidates are encouraged to apply as soon as possible to secure their spot.