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Entry Level Remote Image Annotation Jobs (NOW HIRING)

Jobgether

Previous experience with image annotation, AI training projects, or quality review processes is considered a plus. Benefits: * 100% remote freelance opportunity with flexible working hours. * Ability ...

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 ...

Sigma Group

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

Annotation - Audio/Video/Image/Sentence/Word validation - Categorization, Conversational interactions - Content creation - Correction - Evaluation - Localization All tasks are remote , performed ...

SynMax

Satellite Imagery QA Analyst

Houston, TX · Remote

$20 - $40/hr

Experience with AI/ML data annotation or image labeling. (nice-to-have) * Familiarity with GIS tools (e.g., QGIS, ArcGIS) or remote sensing software. (nice-to-have) * Knowledge of SAR and ...

SQA Solution

Staff Pathologist

Tucson, AZ · Remote

$45/hr

Contract, W2 only Duration : 12+ months Location : remote Pay : $45/hr-$ 93/hr, DOE Schedule: M-F ... Experience in IHC-supervised annotation for tumor identification * Board certification in anatomic ...

Turner Mining Group

Entry Level Drone Operator Pilot

$20 - $21/hr

Perform image data collection using high resolution cameras and thermal imagery using a combination ... Must have a current FAA Part 107 Remote Pilot License. * Preference will be given to candidates ...

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Entry Level Remote Image Annotation information

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How much do entry level remote image annotation jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for entry level remote image annotation in the United States is $24.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $25.96 per hour, depending on experience, location, and employer.

What does a typical day look like for someone in an entry-level remote image annotation role?

In an entry-level remote image annotation position, you can expect to spend most of your day working independently on assigned image datasets, carefully labeling objects, features, or regions according to project guidelines. You'll likely communicate with team leads or project managers through messaging platforms to clarify instructions or receive feedback. Regular check-ins and quality reviews are common to ensure accuracy and consistency. Collaboration with other annotators may occur during team meetings or when discussing challenging cases, but the bulk of your time will be focused on detailed annotation work using specialized software.

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

AspectEntry Level Remote Image AnnotationEntry Level Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data processing
Job FocusAnnotating images with labels, bounding boxes, polygonsLabeling various data types, including images, text, audio

Entry Level Remote Image Annotation primarily involves labeling images for AI training, focusing on visual data. In contrast, Entry Level Remote Data Labeling encompasses a broader range of data types, including text and audio. Both roles require similar skills and are performed remotely, but image annotation is more specialized for visual AI applications.

What are the key skills and qualifications needed to thrive as an Entry Level Remote Image Annotation Specialist, and why are they important?

Success as an Entry Level Remote Image Annotation Specialist requires attention to detail, basic computer literacy, and familiarity with visual data, typically with a high school diploma or equivalent. Proficiency with annotation software tools, such as Labelbox or CVAT, and understanding of cloud-based collaboration platforms are often necessary. Strong communication, time management, and the ability to follow detailed instructions help individuals excel in remote and collaborative environments. These skills ensure accurate, high-quality data labeling, which is essential for training effective machine learning and AI models.

What is an Entry Level Remote Image Annotation job?

An Entry Level Remote Image Annotation job involves labeling or tagging objects, features, or areas within digital images to help train computer vision models. Typically, these roles require workers to use specialized software to categorize or highlight parts of images, following detailed guidelines. The job is usually performed from home, offering flexibility for those entering the workforce or seeking remote opportunities. No advanced technical skills are typically required, but attention to detail, reliability, and basic computer proficiency are important. These positions are often used in industries like AI, autonomous driving, or medical imaging.
More about Entry Level Remote Image Annotation jobs
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Entry Level Remote Image Annotation jobs near you
Infographic showing various Entry Level Remote Image Annotation job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $50,049 per year, or $24.1 per hour.

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

24-MAG

New York, NY • Remote

$55 - $70/hr

Part-time, Contractor

Posted 13 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.