Remote | AI Data Quality Review Expert — $60–$80/hour
About The Position
We are sharing a specialised part-time consulting opportunity for professionals experienced in AI data evaluation, structured review, annotation, quality control, rubric-based assessment, and high-accuracy human data workflows. This role supports current and upcoming remote consulting opportunities focused on AI output review, structured data annotation, quality assessment, guideline-based evaluation, feedback documentation, and high-accuracy project execution. Selected professionals will apply strong attention to detail and structured reasoning to review AI outputs, identify subtle issues, follow complex guidelines, and support reliable data quality workflows.
Requirements
- Prior experience in AI data annotation, human data review, AI output evaluation, QA, structured review, rating, or rubric-based assessment
- Strong attention to detail and ability to catch small inconsistencies, edge cases, and subtle quality issues
- Ability to follow nuanced instructions precisely and apply them consistently
- Strong written communication and reasoning skills
- High reliability and comfort working independently on repetitive precision-based tasks
- Quality-focused mindset and ability to maintain accuracy across long task batches
Nice To Haves
- Experience with large-scale AI data annotation, model evaluation, human feedback workflows, or data quality programs
- Background in QA, structured review, trust and safety, content evaluation, editing, data labelling, or human data pipelines
- Familiarity with multi-step rubric-based evaluation, calibrated feedback, guideline interpretation, or quality-control workflows
- Experience documenting edge cases, recurring issues, quality patterns, or review decisions
- Strong comfort working in detail-heavy, guideline-based, and accuracy-focused project environments
Responsibilities
- Review, evaluate, and annotate AI-generated outputs according to detailed project guidelines
- Apply structured criteria consistently across repetitive and high-volume review tasks
- Identify subtle errors, inconsistencies, edge cases, ambiguity, and quality issues
- Support accurate human data workflows used to train and evaluate advanced AI systems
- Follow complex instructions carefully and apply nuanced rules with consistency
- Review outputs for accuracy, completeness, clarity, reasoning quality, and alignment with task requirements
- Flag unclear instructions, ambiguous cases, and recurring quality patterns
- Maintain high accuracy across detail-heavy evaluation and labelling workflows
- Provide clear, concise, and structured feedback to improve downstream data quality
- Document review decisions, issue patterns, and quality observations according to project standards
- Support calibration workflows by applying rubrics and quality bars consistently
- Maintain reliability, focus, and professional judgment across submitted work
Benefits
- Competitive hourly compensation
- Flexible assignments
- Flexible scheduling
- Weekly payments
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What This Job Offers
Job Type
Part-time
Career Level
Mid Level
Education Level
Associate degree
