
Remote | AI Data Quality Review Expert - $60-$80/hour
24-MAG LLC, New York, NY, United States
About the job Remote | AI Data Quality Review Expert - $60-$80/hour
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.
Key Responsibilities
Professionals in this role may contribute to:
AI Output Review & Annotation
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
Guideline-Based Evaluation & Quality Control
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
Structured Feedback & Review Documentation
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
Ideal Profile
Strong candidates may have:
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
Educational Background
A degree or professional background in communications, writing, business, humanities, social sciences, computer science, data analysis, education, quality assurance, or a related field is helpful
Equivalent practical experience in annotation, review, QA, trust and safety, data evaluation, operations support, editing, or structured assessment work is also highly relevant
Nice to Have
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
Why This Opportunity
Apply strong review judgment and attention to detail to structured remote project work
Contribute to high-quality AI data evaluation, annotation, and quality-control workflows
Work on flexible assignments aligned with your review, QA, or data evaluation background
Use your precision and reasoning skills in a focused, quality-first review environment
Remote structure with competitive hourly compensation
Contract Details
Independent contractor role
Fully remote with flexible scheduling
Part-time commitment depending on project availability
Competitive rates between
$60-$80 per hour
depending on expertise
Weekly payments via Stripe or Wise
Projects may be extended, shortened, or adjusted depending on scope and performance
Work will not involve access to confidential or proprietary information from any employer, client, or institution
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.
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.
Key Responsibilities
Professionals in this role may contribute to:
AI Output Review & Annotation
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
Guideline-Based Evaluation & Quality Control
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
Structured Feedback & Review Documentation
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
Ideal Profile
Strong candidates may have:
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
Educational Background
A degree or professional background in communications, writing, business, humanities, social sciences, computer science, data analysis, education, quality assurance, or a related field is helpful
Equivalent practical experience in annotation, review, QA, trust and safety, data evaluation, operations support, editing, or structured assessment work is also highly relevant
Nice to Have
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
Why This Opportunity
Apply strong review judgment and attention to detail to structured remote project work
Contribute to high-quality AI data evaluation, annotation, and quality-control workflows
Work on flexible assignments aligned with your review, QA, or data evaluation background
Use your precision and reasoning skills in a focused, quality-first review environment
Remote structure with competitive hourly compensation
Contract Details
Independent contractor role
Fully remote with flexible scheduling
Part-time commitment depending on project availability
Competitive rates between
$60-$80 per hour
depending on expertise
Weekly payments via Stripe or Wise
Projects may be extended, shortened, or adjusted depending on scope and performance
Work will not involve access to confidential or proprietary information from any employer, client, or institution
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.