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Contract Data Annotation Jobs (NOW HIRING)

Alignerr

Data Scientist (Masters)

Miami, FL · Remote

Hourly Contract * Location : Remote * Commitment : 10-40 hours/week What You'll Do * Design ... Experience with data annotation, data quality assurance, or model evaluation workflows

Alignerr

Data Scientist (Masters)

Manhattan, NY · Remote

This is a fully remote, flexible contract role built for data scientists who love deep technical ... No prior AI training or annotation experience required Nice to Have * Experience with data ...

Mercor

Data Quality Analyst | Upto $60/hr

New York, NY · Remote

$60/hr

Contract Compensation: $50-$60/hour Location: Remote Role Responsibilities * Review and validate ... Past experience in AI training , model evaluation, or data annotation. Application Process (Takes ...

Alignerr

Lead Backend Engineer - AI Tooling

Denver, CO · Remote

... data pipelines, annotation systems, and evaluation tooling that leading AI labs depend on to train and improve their most important models. This is a fully remote contract role with flexible hours ...

Mercor

Data Scientist

New York, NY · Remote

$70 - $100/hr

Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... Prior experience with data annotation , labeling, evaluation, or human feedback collection.

Weekday AI

Contracting Attorney

$80 - $105/hr

Prior experience with AI, legal tech, or data annotation projects * Expertise in risk mitigation strategies within SaaS contracts * Contributions to legal tech through publications, speaking ...

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Contract Data Annotation information

What are the key skills and qualifications needed to thrive as a Contract Data Annotation Specialist, and why are they important?

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.

What is a contract data annotation job?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

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What are the most commonly searched types of Data Annotation jobs? The most popular types of Data Annotation jobs are:
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Contract Data Annotation jobs near you
Infographic showing various Contract Data Annotation job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.

Remote | Image Data Quality Review Specialist -- $55-$70/hour

24-MAG

New York, NY • Remote

$55 - $70/hr

Part-time, Contractor

Posted 8 days ago

Job description

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.