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Remote Image Annotation Jobs in New York (NOW HIRING)

Avanciers Inc.

Dental Specialist

Manhattan, NY · Remote

... image annotation tools preferred Ability to work independently and efficiently in a remote environment Total Images: ~5,000 periapical images Annotation Scope: Each image annotated across Tooth ...

Mercor

Image QA Reviewer - AI Lab

New York, NY · Remote

$50 - $60/hr

Remote Role Responsibilities * Review and validate image datasets sourced from external vendors ... Past experience in AI training , model evaluation, or data annotation. Application Process (Takes ...

Mercor

Quality Assurance Specialist

New York, NY · Remote

$50 - $60/hr

Position: Image QA Expert Type: Contract Compensation: $50-$60/hour Location: Remote Role ... Past experience in AI training , model evaluation, or data annotation. Application Process (Takes ...

Mercor

Data Quality Analyst | Upto $60/hr

New York, NY · Remote

$60/hr

Position: Image QA Expert Type: Contract Compensation: $50-$60/hour Location: Remote Role ... Past experience in AI training , model evaluation, or data annotation. Application Process (Takes ...

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All JobsRemote Image Annotation JobsRemote Image Annotation Jobs in New York

Remote Image Annotation information

See New York salary details

$12.4K

$68.3K

$87.7K

How much do remote image annotation jobs pay per year?

As of May 28, 2026, the average yearly pay for remote image annotation in New York is $68,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $87,200.00 per year, depending on experience, location, and employer.

What is a Remote Image Annotation job?

A Remote Image Annotation job involves labeling images with relevant tags, shapes, or metadata to help train machine learning models. Annotators use specialized tools to draw bounding boxes, segment objects, or add descriptive labels to improve AI accuracy. This work is typically done from home and requires attention to detail, basic computer skills, and sometimes domain-specific knowledge. It is commonly used in industries such as autonomous vehicles, healthcare, and e-commerce.

What are the key skills and qualifications needed to thrive in the Remote Image Annotation position, and why are they important?

To thrive as a Remote Image Annotation specialist, you need keen attention to detail, strong visual analysis skills, and basic computer proficiency, often supported by a background in data entry or related fields. Familiarity with image annotation platforms and tools such as Labelbox, VGG Image Annotator, or custom client software is commonly required, though formal certifications are uncommon. Excellent time management, self-motivation, and clear communication skills help remote workers excel, especially when collaborating with distributed teams or providing task updates. These competencies ensure accurate, timely annotations that are essential for training high-quality AI and machine learning systems.

What are some common challenges faced by remote image annotation specialists and how can they be addressed?

Remote image annotation specialists often encounter challenges such as handling repetitive tasks, maintaining high accuracy across large volumes of images, and managing time effectively while working independently. To address these challenges, it’s important to take regular breaks to maintain focus, follow detailed annotation guidelines carefully, and communicate proactively with project managers or teammates when unclear instructions arise. Many employers provide training sessions, clear documentation, and regular feedback to help remote annotators improve their performance. Utilizing productivity tools and engaging with team forums or chat channels can also help foster collaboration and resolve questions efficiently. Over time, experience with different annotation types and toolsets can open up opportunities for advancement into quality assurance or tool administration roles.
More about Remote Image Annotation jobs
What are the most commonly searched types of Image Annotation jobs in New York? The most popular types of Image Annotation jobs in New York are:
What are popular job titles related to Remote Image Annotation jobs in New York? For Remote Image Annotation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Image Annotation jobs in New York look for? The top searched job categories for Remote Image Annotation jobs in New York are:
What cities in New York are hiring for Remote Image Annotation jobs? Cities in New York with the most Remote Image Annotation job openings:
Remote Image Annotation jobs near you
Infographic showing various Remote Image Annotation job openings in New York as of May 2026, with employment types broken down into 58% Full Time, 27% Part Time, and 15% Contract. Highlights an 46% Physical, and 54% Remote job distribution, with an average salary of $68,313 per year, or $32.8 per hour.

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

24-MAG

New York, NY • Remote

$55 - $70/hr

Part-time, Contractor

Posted 2 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.