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Flexible Remote Data Labelling Jobs (NOW HIRING)

Contractor Location: Remote Role Overview We are looking for detail-oriented Video Annotation ... The role involves accurate video labeling and structured data annotation to support AI and machine ...

New

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

... data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible ...

Showing results 41-60

Flexible Remote Data Labelling information

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$46K

$165K

$243.5K

How much do flexible remote data labelling jobs pay per year?

As of Sep 13, 2026, the average yearly pay for flexible remote data labelling in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Remote Data Labelling vs Data Annotation Specialist?

AspectFlexible Remote Data LabellingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; often no formal certification needed
Work EnvironmentRemote, flexible hoursRemote, may have more structured schedules
Industry UsageCommon in AI/ML data preparationUsed in AI/ML, computer vision, NLP projects
Job FocusLabeling data for machine learning modelsAnnotating data to improve model accuracy

Flexible Remote Data Labelling and Data Annotation Specialist roles both involve preparing data for AI and machine learning. The main difference lies in terminology and slight variations in job scope, but both are remote, entry-level positions focused on data labeling and annotation tasks.

More about Flexible Remote Data Labelling jobs

What cities are hiring for Flexible Remote Data Labelling jobs?

Cities with the most Flexible Remote Data Labelling job openings:

What are the most commonly searched types of Remote Data Labelling jobs?

The most popular types of Remote Data Labelling jobs are:

What states have the most Flexible Remote Data Labelling jobs?

States with the most job openings for Flexible Remote Data Labelling jobs include:

What are popular job titles related to Flexible Remote Data Labelling jobs?

For Flexible Remote Data Labelling jobs, the most frequently searched job titles are:

Infographic showing various Flexible Remote Data Labelling job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Video Data Reviewer - Remote

New York, NY โ€ข Remote

Full-time

Posted 2 days ago

New


Job description

Video Annotation Specialist

Job Type: Contractor
Location: Remote

Role Overview

We are looking for detail-oriented Video Annotation Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects.

Key Responsibilities
  • Review videos and identify key actions, events, and outcomes.
  • Annotate and label video content according to project guidelines.
  • Use video annotation tools to create accurate, structured datasets.
  • Maintain consistency and accuracy across annotations.
  • Collaborate with team members to resolve unclear cases.
  • Participate in quality checks and incorporate feedback.
Requirements
  • Experience in video annotation, data labeling, or similar work preferred.
  • Strong attention to detail and accuracy.
  • Familiarity with video annotation tools.
  • Good written communication and collaboration skills.
  • Strong time-management and organizational abilities.
  • Experience with AI, machine learning, or robotics projects is a plus.