Crossing Hurdles

Data Quality Reviewer (Remote)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Quality Reviewer (Remote) for an hourly contract of $50–$60/hr, requiring 10-40 flexible hours/week. Key skills include detail orientation, research proficiency, and clear communication. Relevant backgrounds include research, education, and compliance roles.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
December 26, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Quality #AI (Artificial Intelligence) #Documentation #Datasets #Compliance
Role description
Position: Editors, Fact Checkers, & Data Quality Reviewers Type: Hourly Contract (Remote) Compensation: $50–$60/hr Location: Remote Duration: 10-40 hours/week, flexible and asynchronous Requirements • Exceptional attention to detail and accuracy • Strong research and fact-checking skills across multiple domains • Ability to verify information using multiple reliable sources • Clear, objective written communication skills • Strong analytical thinking and consistency in following guidelines • Comfortable reviewing long-form text and structured outputs • Reliable availability for a minimum of 20 hours/week Relevant Backgrounds May Include (not Limited To) • Research assistant, graduate student, or academic editor • Teacher, tutor, or test-prep instructor • Paralegal or legal researcher • Librarian, archivist, or information specialist • Nonprofit researcher or grant writer • Freelance editor, proofreader, or content writer • Compliance, regulatory, or documentation roles Role Responsibilities • Create research-style prompts requiring multi-source browsing • Review AI-generated outputs for accuracy, completeness, and clarity • Cross-check facts across domains and identify inconsistencies • Flag ambiguities, subjective phrasing, or formatting issues • Provide structured written feedback to improve data quality • Ensure consistency, neutrality, and factual correctness across datasets • Work asynchronously while meeting quality and timeline standards Application process: (Takes 20 min) • Upload resume • 15 min interview • Submit form