Remote | Image Data Quality Review Specialist - $55-$70/hour
24-MAG LLC, New York, NY, United States
About the job Remote | Image Data Quality Review Specialist - $55-$70/hour
We are sharing a specialised part-time consulting opportunity for professionals experienced in image quality review, dataset validation, annotation QA, rubric-based evaluation, visual content auditing, and structured data quality workflows.
This role supports current and upcoming remote consulting opportunities focused on structured image dataset review, quality assurance, annotation validation, instruction review, benchmark development, and high-quality project execution. Selected professionals will apply strong visual judgment and attention to detail to review image data, identify quality issues, document findings clearly, and support consistent evaluation standards across image-based workflows.
Key Responsibilities
Professionals in this role may contribute to:
Image Dataset Review & Validation
Review image datasets against defined quality standards, task instructions, and evaluation rubrics
Validate image labels, annotations, classifications, metadata, or other visual data outputs for accuracy and consistency
Identify inconsistencies, labeling errors, edge cases, unclear examples, and recurring quality issues
Apply structured QA criteria consistently across large volumes of image-based review tasks
Rubric-Based QA & Written Feedback
Evaluate visual data outputs using detailed quality rubrics and documented review standards
Provide clear written feedback explaining quality issues, patterns, and recommended corrections
Support structured review of annotation guidelines, instruction specs, and quality criteria
Document findings in a way that is actionable, consistent, and easy for project teams to interpret
Benchmarking & Quality Support
Contribute to quality benchmark materials, example sets, golden samples, and review documentation
Support evaluation workflows involving image data, visual content, annotation outputs, and vendor-style quality checks
Help maintain strong quality standards across image review and data validation deliverables
Work independently while maintaining accuracy, consistency, and careful attention to detail
Ideal Profile
Strong candidates may have:
2+ years of experience in QA, editing, auditing, reviewing, annotation, data labeling, content moderation, visual review, or related quality-focused work
Experience applying rubrics, checklists, guidelines, or structured evaluation criteria consistently
Strong attention to detail and ability to identify subtle visual inconsistencies or quality issues
Clear written communication skills and ability to document findings in a structured, actionable way
Ability to work independently, manage time effectively, and follow detailed task instructions
Comfort working with image datasets, annotation tasks, visual content, or data quality workflows
Educational Background
A degree or professional background in data annotation, quality assurance, digital media, visual communication, design, information science, communications, editing, or a related field is helpful
Equivalent practical experience in QA review, image annotation, visual content review, auditing, editing, or structured evaluation work is also highly relevant
Nice to Have
Experience with AI data annotation, model evaluation, image QA, computer vision data review, or dataset validation
Familiarity with image labeling guidelines, annotation platforms, golden sample review, or quality benchmark workflows
Experience reviewing vendor-submitted data, structured content outputs, visual datasets, or annotation quality reports
Strong ability to apply detailed quality standards consistently and objectively
Comfort providing concise, high-quality written feedback on visual or data-related issues
Why This Opportunity
Apply image review and QA expertise to structured remote project work
Contribute to high-quality image dataset validation, annotation review, and data quality workflows
Work on flexible, project-based assignments aligned with your review and quality assurance background
Use your visual judgment in a focused, detail-oriented work 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
$55-$70 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 image quality review, dataset validation, annotation QA, rubric-based evaluation, visual content auditing, and structured data quality workflows.
This role supports current and upcoming remote consulting opportunities focused on structured image dataset review, quality assurance, annotation validation, instruction review, benchmark development, and high-quality project execution. Selected professionals will apply strong visual judgment and attention to detail to review image data, identify quality issues, document findings clearly, and support consistent evaluation standards across image-based workflows.
Key Responsibilities
Professionals in this role may contribute to:
Image Dataset Review & Validation
Review image datasets against defined quality standards, task instructions, and evaluation rubrics
Validate image labels, annotations, classifications, metadata, or other visual data outputs for accuracy and consistency
Identify inconsistencies, labeling errors, edge cases, unclear examples, and recurring quality issues
Apply structured QA criteria consistently across large volumes of image-based review tasks
Rubric-Based QA & Written Feedback
Evaluate visual data outputs using detailed quality rubrics and documented review standards
Provide clear written feedback explaining quality issues, patterns, and recommended corrections
Support structured review of annotation guidelines, instruction specs, and quality criteria
Document findings in a way that is actionable, consistent, and easy for project teams to interpret
Benchmarking & Quality Support
Contribute to quality benchmark materials, example sets, golden samples, and review documentation
Support evaluation workflows involving image data, visual content, annotation outputs, and vendor-style quality checks
Help maintain strong quality standards across image review and data validation deliverables
Work independently while maintaining accuracy, consistency, and careful attention to detail
Ideal Profile
Strong candidates may have:
2+ years of experience in QA, editing, auditing, reviewing, annotation, data labeling, content moderation, visual review, or related quality-focused work
Experience applying rubrics, checklists, guidelines, or structured evaluation criteria consistently
Strong attention to detail and ability to identify subtle visual inconsistencies or quality issues
Clear written communication skills and ability to document findings in a structured, actionable way
Ability to work independently, manage time effectively, and follow detailed task instructions
Comfort working with image datasets, annotation tasks, visual content, or data quality workflows
Educational Background
A degree or professional background in data annotation, quality assurance, digital media, visual communication, design, information science, communications, editing, or a related field is helpful
Equivalent practical experience in QA review, image annotation, visual content review, auditing, editing, or structured evaluation work is also highly relevant
Nice to Have
Experience with AI data annotation, model evaluation, image QA, computer vision data review, or dataset validation
Familiarity with image labeling guidelines, annotation platforms, golden sample review, or quality benchmark workflows
Experience reviewing vendor-submitted data, structured content outputs, visual datasets, or annotation quality reports
Strong ability to apply detailed quality standards consistently and objectively
Comfort providing concise, high-quality written feedback on visual or data-related issues
Why This Opportunity
Apply image review and QA expertise to structured remote project work
Contribute to high-quality image dataset validation, annotation review, and data quality workflows
Work on flexible, project-based assignments aligned with your review and quality assurance background
Use your visual judgment in a focused, detail-oriented work 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
$55-$70 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.