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Independent Contractor Image Annotation Jobs (NOW HIRING)

Jobgether

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

Mercor

Image QA Reviewer - AI Lab

New York, NY · Remote

$50 - $60/hr

Position: Image QA Expert Type: Contract Compensation: $50-$60/hour Location: Remote Role ... or annotation work (any domain). * Basic ability to work independently and manage one's time.

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Independent Contractor Image Annotation information

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$394

$1.1K

$2.1K

How much do independent contractor image annotation jobs pay per week?

As of Jun 6, 2026, the average weekly pay for independent contractor image annotation in the United States is $1,089.33, according to ZipRecruiter salary data. Most workers in this role earn between $721.15 and $1,211.54 per week, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Independent Contractor Image Annotation specialist, and why are they important?

To thrive as an Independent Contractor Image Annotation specialist, you need attention to detail, a good understanding of visual data, and familiarity with labeling guidelines, often supported by a high school diploma or relevant coursework. Experience with annotation tools like Labelbox, CVAT, or VGG Image Annotator, and sometimes basic coding or machine learning concepts, is typically required. Strong time management, communication, and the ability to work independently are valuable soft skills in this role. These skills ensure high-quality, consistent annotations that are essential for training accurate AI and machine learning models.

What are some common challenges faced by independent contractors in image annotation, and how can they be managed?

Independent contractors in image annotation often face challenges such as maintaining consistent quality across large volumes of images, meeting tight deadlines, and adapting to varying annotation guidelines from different clients. To manage these challenges, it's important to develop strong attention to detail, establish clear communication with clients regarding expectations, and stay organized by using annotation tools efficiently. Joining online communities or forums can also provide support and tips from experienced annotators, helping you stay updated on best practices.

What is the difference between Independent Contractor Image Annotation vs Data Labeler?

AspectIndependent Contractor Image AnnotationData Labeler
CredentialsMinimal; often self-taught or basic trainingSimilar; often self-taught or with basic training
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI, machine learning projectsUsed in AI, machine learning, and data processing

Both roles involve labeling data for AI training, often working remotely with flexible schedules. The main difference is that 'Independent Contractor Image Annotation' emphasizes a broader scope of annotation tasks, while 'Data Labeler' may include a wider range of data types. Both roles are essential in AI development and share similar credentials and work environments.

What are Independent Contractor Image Annotators?

Independent Contractor Image Annotators are professionals who label, tag, or classify images for use in machine learning, AI, or data analysis projects. They typically work remotely on a contract basis for companies or platforms that need large datasets annotated for training algorithms. Their tasks may include drawing bounding boxes, identifying objects, or categorizing content in images. This role requires attention to detail, proficiency with annotation tools, and the ability to follow specific project guidelines. Since they are independent contractors, they usually manage their own schedules and are responsible for their own taxes and benefits.
More about Independent Contractor Image Annotation jobs
What cities are hiring for Independent Contractor Image Annotation jobs? Cities with the most Independent Contractor Image Annotation job openings:
What are the most commonly searched types of Image Annotation jobs? The most popular types of Image Annotation jobs are:
What states have the most Independent Contractor Image Annotation jobs? States with the most job openings for Independent Contractor Image Annotation jobs include:
What job categories do people searching Independent Contractor Image Annotation jobs look for? The top searched job categories for Independent Contractor Image Annotation jobs are:
Independent Contractor Image Annotation jobs near you
Infographic showing various Independent Contractor Image Annotation job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 75% Full Time, 20% Part Time, and 1% Nights. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $56,645 per year, or $27.2 per hour.

AI Trainer - Automotive Expertise Required

Jobgether

Remote

Full-time

Posted 9 days ago

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a AI Trainer - Automotive Expertise Required in Netherlands.

Join an innovative AI-focused environment where human expertise plays a key role in improving the accuracy and reliability of next-generation machine learning systems. In this freelance remote position, you will help train and evaluate AI models by reviewing vehicle damage images and identifying impacted automotive parts with precision. Your work will directly support faster and more accurate insurance claim assessments while contributing to the development of high-quality AI datasets. This opportunity is ideal for professionals with automotive, insurance, repair, or vehicle appraisal experience who are looking for flexible project-based work. You'll receive structured guidance and clear visual instructions, allowing you to work independently while contributing to meaningful AI-driven solutions. The role offers autonomy, scalability, and the flexibility to work from anywhere within the European Union.

Accountabilities:
  • Review and analyze vehicle damage photos to identify scratches, dents, cracks, missing parts, and other visible issues.
  • Accurately classify damaged vehicle components such as doors, bumpers, fenders, hoods, and related parts.
  • Follow detailed annotation guidelines and quality standards to ensure data accuracy and consistency.
  • Support the creation and improvement of high-quality datasets used for AI model training and evaluation.
  • Contribute to efficient insurance claim assessment processes through precise image review and labeling.
  • Maintain productivity and quality while working independently in a remote freelance environment.
  • Participate in project updates or process improvements when required.
Requirements:
  • Professional experience in automotive-related fields such as insurance claims, vehicle appraisal, auto repair, body shop work, mechanics, dealerships, or automotive parts.
  • Strong ability to identify vehicle damage types and recognize automotive components accurately.
  • High attention to detail and ability to follow structured written and visual guidelines.
  • Comfortable working independently and managing tasks in a remote environment.
  • Basic computer literacy and ability to work with digital annotation or review tools.
  • Strong reliability, consistency, and quality-oriented mindset.
  • Must be based within the European Union.
  • 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 to work independently and at your own pace.
  • Competitive freelance compensation of approximately 11/hour.
  • Opportunity to contribute to innovative AI and machine learning initiatives.
  • Potential for increased workload and long-term project extension as operations scale.
  • Ideal side-income opportunity with flexible scheduling.
  • Clear onboarding materials and visual training resources provided.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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