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Remote Video Labelling Jobs (NOW HIRING)

iMerit

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Video Data Annotator

San Jose, CA · Remote

$35/hr

Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a ... Identify and label specific actions, objects, or events within video data, ensuring comprehensive ...

iMerit

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Video Data Annotator

Miami, FL · Remote

$35/hr

Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a ... Identify and label specific actions, objects, or events within video data, ensuring comprehensive ...

New

Mercor

Video Data Reviewer - Egocentric

New York, NY · Remote

$20 - $25/hr

Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

micro1

Data-Video Generalist (Europe-based)

Remote - experts based in Western and Eastern Europe. Selected countries include: Albania, Bulgaria ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

Truvani

Direct Response Copywriter - REMOTE

Phoenix, AZ · Remote

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Take ad concepts from idea to execution - writing the copy, briefing designers and video editors ...

Truvani

Direct Response Copywriter - REMOTE

Phoenix, AZ · On-site +1

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Take ad concepts from idea to execution - writing the copy, briefing designers and video editors ...

Truvani

Direct Response Copywriter - REMOTE

Dallas, TX · Remote

$75K - $105K/yr

... labels without lies. Founded on one simple belief -- that the ingredients in your food and ... Take ad concepts from idea to execution -- writing the copy, briefing designers and video editors ...

Truvani

Direct Response Copywriter - REMOTE

Charlotte, NC · Remote

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Take ad concepts from idea to execution - writing the copy, briefing designers and video editors ...

Truvani

Direct Response Copywriter - REMOTE

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Take ad concepts from idea to execution - writing the copy, briefing designers and video editors ...

Truvani

Direct Response Copywriter - REMOTE

Denver, CO · On-site +1

$75K - $105K/yr

... labels without lies. Founded on one simple belief - that the ingredients in your food and ... Take ad concepts from idea to execution - writing the copy, briefing designers and video editors ...

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All Jobsremote JobsRemote Video Labelling Jobs

Remote Video Labelling information

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$38K

$75.5K

$129K

How much do remote video labelling jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote video labelling in the United States is $75,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $87,500.00 per year, depending on experience, location, and employer.

What is remote video labelling?

Remote video labelling is the process of watching video footage and accurately annotating or tagging objects, actions, or events within the video, all while working from a remote location, usually from home. This work is essential for training machine learning and AI models, particularly in fields like autonomous vehicles, security, and content moderation. Video labellers use specialized software to mark frames and provide metadata that helps computers understand visual information. Attention to detail and consistency are crucial in this job to ensure high-quality labelled data.

What are the key skills and qualifications needed to thrive as a remote video labelling specialist?

To thrive as a Remote Video Labelling Specialist, attention to detail, basic computer proficiency, and a high school diploma or equivalent are generally required. Familiarity with annotation tools, video editing software, and data labeling platforms is typically expected, with some roles preferring experience in machine learning or data management systems. Strong time management, focus, and effective communication skills help individuals excel in independent, deadline-driven environments. These skills ensure accurate data labeling, which is crucial for training high-quality AI and machine learning models.

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

Remote video labelling professionals often encounter challenges such as staying focused during repetitive tasks, ensuring accuracy when identifying subtle visual details, and managing communication with team members across different time zones. To address these, it's helpful to set up a distraction-free workspace, take regular breaks to maintain concentration, and use collaborative tools to stay connected with supervisors and peers. Additionally, following established labelling guidelines and participating in quality assurance sessions can help maintain consistency and accuracy in your work.

What is the difference between Remote Video Labelling vs Remote Image Annotation?

AspectRemote Video LabellingRemote Image Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAutonomous vehicles, surveillance, AI trainingObject detection, medical imaging, retail
Search & Comparison IntentUnderstanding differences in data labeling rolesUnderstanding differences in annotation tasks

Remote Video Labelling involves annotating video data frame-by-frame, often requiring temporal consistency, while Remote Image Annotation focuses on labeling individual images. Both roles are remote, require attention to detail, and are used in AI training across various industries. The main difference lies in the data type: videos versus images, with video labelling demanding more complex, time-sensitive annotations.

More about Remote Video Labelling jobs

What cities are hiring for Remote Video Labelling jobs?

Cities with the most Remote Video Labelling job openings:

What are the most commonly searched types of Video Labelling jobs?

The most popular types of Video Labelling jobs are:

What states have the most Remote Video Labelling jobs?

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

What job categories do people searching Remote Video Labelling jobs look for?

The top searched job categories for Remote Video Labelling jobs are:

Remote Video Labelling jobs near you
Infographic showing various Remote Video Labelling job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution, with an average salary of $75,498 per year, or $36.3 per hour.

Video Data Annotator

iMerit

San Jose, CA • Remote

$35/hr

Contractor

Posted 8 days ago

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Job description

Video Data Annotator

Role Type: Contractor

Location: Remote (US Only)


iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Annotate and review robotics-related video footage using detailed guidelines provided for each assignment.
  2. Assess and score video clips for data quality, relevance, and accuracy based on a predefined scoring guide.
  3. Identify and label specific actions, objects, or events within video data, ensuring comprehensive and precise annotation.
  4. Collaborate with the iMerit project team to clarify annotation standards and resolve ambiguities in the scoring process.
  5. Document annotation decisions and provide feedback on the clarity and effectiveness of guidelines.
  6. Perform ongoing quality assurance checks to verify that annotations adhere to project requirements and deliverables.
  7. Deliver annotations and evaluations consistently and within set project timeframes.


Preferred Qualifications

  1. Mid-level experience with video data annotation across various platforms or projects.
  2. Demonstrated attention to detail and commitment to producing high-quality, accurate annotations.
  3. Strong written and verbal communication skills, with the ability to document findings and interact with team members remotely.
  4. Previous experience with robotics footage or robotics-related annotation tasks (heavily preferred).
  5. Ability to interpret and apply complex annotation guidelines and scoring rubrics.
  6. Familiarity with AI review processes or quality assurance in data annotation projects.
  7. Proactive approach to problem-solving and a self-motivated work style in a remote engagement setting.

Company Description

iMerit, an EXL Company, is a global leader in AI data solutions, trusted by the world's most innovative organizations to power mission-critical AI initiatives. Our platforms and domain expertise support companies to build accurate, reliable, and scalable AI solutions.