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Freelance Remote 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 ...

Sigma Group

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

Sigma is a leading global technology company specializing in data collection and annotation for ... for freelancers under a commercial contract . Connectivity & Accessories: * Stable internet ...

Sigma Group

Japanese Linguistic Projects (Remote)

Sigma is a leading global technology company specializing in data collection and annotation for ... offered for freelancers under a commercial contract . • Requirements We are looking for ...

Sigma Group

Umbundu Linguistic projects (Remote)

Sigma is a leading global technology company specializing in data collection and annotation for ... offered for freelancers under a commercial contract . • Requirements We are looking for ...

Sigma Group

Mískito linguistic projects (Remote)

Sigma is a leading global technology company specializing in data collection and annotation for ... offered for freelancers under a commercial contract . • Requirements We are looking for ...

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Freelance Remote Annotation information

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$71

How much do freelance remote annotation jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for freelance remote annotation in the United States is $62.54, according to ZipRecruiter salary data. Most workers in this role earn between $60.34 and $68.27 per hour, depending on experience, location, and employer.

What is freelance remote annotation?

Freelance remote annotation involves working independently from any location to label, categorize, or tag data such as images, audio, text, or video. This work is crucial for training machine learning models, as annotated data helps algorithms learn to recognize patterns and make accurate predictions. Freelancers are typically paid per task or project and can set their own schedules, making this role flexible and accessible. The job requires attention to detail and may involve using specialized software or online platforms.

What is the difference between Freelance Remote Annotation vs Data Labeler?

AspectFreelance Remote AnnotationData Labeler
CredentialsBasic computer skills, attention to detailSimilar; often no formal certification required
Work EnvironmentRemote, flexible hoursRemote or on-site, depending on employer
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data processing
Job ScopeAnnotating various data types (images, text, audio)Labeling data for training AI models

Freelance Remote Annotation involves independently annotating data for multiple clients, offering flexibility and diverse projects. Data Labelers typically work for a single employer or platform, focusing on labeling data to train AI systems. Both roles require attention to detail and are essential in AI development, but Freelance Remote Annotation offers more independence and variety.

How do freelance remote annotation professionals typically communicate and collaborate with project managers and team members?

Freelance remote annotation professionals usually coordinate with project managers and teammates through digital collaboration platforms such as Slack, email, or dedicated project management tools. Regular check-ins, clear guidelines, and shared documentation help ensure that annotation standards are met and deadlines are respected. While most tasks are performed independently, open communication is essential for clarifying requirements and receiving feedback. Being proactive in seeking clarification and participating in virtual meetings can help build strong working relationships and ensure project success.

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

To thrive as a Freelance Remote Annotation Specialist, you need strong attention to detail, data entry accuracy, and an understanding of data labeling concepts, often supported by a high school diploma or relevant experience. Familiarity with annotation tools (such as Labelbox or Supervisely) and basic computer literacy are typically required. Excellent time management, self-motivation, and clear communication are important soft skills for remote collaboration and meeting deadlines. These skills ensure high-quality, consistent data annotation that is critical for training reliable machine learning models.
More about Freelance Remote Annotation jobs
What cities are hiring for Freelance Remote Annotation jobs? Cities with the most Freelance Remote Annotation job openings:
What are the most commonly searched types of Remote Annotation jobs? The most popular types of Remote Annotation jobs are:
What states have the most Freelance Remote Annotation jobs? States with the most job openings for Freelance Remote Annotation jobs include:
What job categories do people searching Freelance Remote Annotation jobs look for? The top searched job categories for Freelance Remote Annotation jobs are:
Freelance Remote Annotation jobs near you
Infographic showing various Freelance Remote Annotation job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 1% Internship, 2% As Needed, 4% Full Time, 88% Part Time, and 3% Temporary. Highlights an 45% Physical, 1% Hybrid, and 54% Remote job distribution, with an average salary of $130,079 per year, or $62.5 per hour.

AI Trainer - Automotive Expertise Required

Jobgether

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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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