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Image Labeling Remote Jobs (NOW HIRING)

Imagery Scientist (EO) - Senior

Saint Louis, MO ยท Remote

$89K - $121K/yr

... labeling and model testing purposes. This may involve converting between file format types or ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Records Clerk

Lorton, VA ยท On-site +1

$16.75 - $22/hr

Overview Records Clerk Remote Are you ready to enhance your skills and build your career in a ... The Records Clerk downloads, creates, verifies image quality, processes, performs data entry ...

... label/packaging text extraction * Strong Python skills with experience in OpenCV, image ... Fully remote, with a NYC co-working space available; distributed team across multiple time zones ...

Imagery Scientist (EO) - Senior

Saint Louis, MO ยท On-site +1

$89K - $121K/yr

... labeling and model testing purposes. This may involve converting between file format types or ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Labeling * Model testing * Advanced exploitation workflows * Investigate gaps in emerging EO sensor ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

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Image Labeling Remote information

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How much do image labeling remote jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for image labeling remote in the United States is $13.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $15.38 per hour, depending on experience, location, and employer.

What is image labeling in a remote job?

Image labeling in a remote job involves tagging or annotating images with relevant information or categories from your home or any location outside of a traditional office. This process helps train machine learning models to recognize objects, people, or scenes within images. Remote image labelers use specialized software to identify and mark features according to project guidelines. The work is often flexible and may be paid per task or per hour, depending on the employer.

What is the difference between Image Labeling Remote vs Data Annotation Specialist?

AspectImage Labeling RemoteData Annotation Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Search & Comparison IntentOften compared for similar data labeling rolesRelated role in data preparation

Image Labeling Remote and Data Annotation Specialist roles both involve preparing data for AI systems, often working remotely with similar skills. However, Image Labeling Remote typically focuses specifically on labeling images and visual data, while Data Annotation Specialist may include a broader range of data types like text or audio. Both roles are essential in AI development and share similar work environments and skill requirements.

What are the key skills and qualifications needed to thrive as an Image Labeling Remote worker, and why are they important?

To thrive as an Image Labeling Remote worker, you need strong attention to detail, basic computer literacy, and familiarity with data annotation concepts, often supported by a high school diploma or equivalent. Proficiency with image labeling platforms such as Labelbox, Supervisely, or proprietary annotation tools is typically required. Reliability, self-motivation, and the ability to follow precise instructions make someone stand out in this position. These skills ensure that labeled data is accurate and consistent, which is crucial for training high-quality machine learning models.

What are some common challenges faced by remote image labeling professionals, and how can they be managed?

Remote image labeling professionals often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and communicating effectively with team members across different time zones. To manage these, it's helpful to set up a dedicated, distraction-free workspace, take regular breaks to prevent fatigue, and use collaboration tools like Slack or project management platforms to stay connected with the team. Adhering closely to labeling guidelines and participating in regular quality reviews also help maintain accuracy and consistency.
More about Image Labeling Remote jobs
What cities are hiring for Image Labeling Remote jobs? Cities with the most Image Labeling Remote job openings:
What are the most commonly searched types of Image Labeling jobs? The most popular types of Image Labeling jobs are:
What states have the most Image Labeling Remote jobs? States with the most job openings for Image Labeling Remote jobs include:

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

24-MAG

New York, NY โ€ข Remote

$55 - $70/hr

Part-time, Contractor

Posted 19 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 $55โ€“$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.