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Video Labelling Jobs in Boston, MA (NOW HIRING)

Ansera

Senior Pro A/V Systems Technician

Canton, MA · On-site

Video projection and commercial display systems * Sound reinforcement and conferencing systems ... Mount, terminate, label, and dress equipment and cabling to company standards * Configure and test ...

Ansera

Senior Pro A/V Systems Technician

Canton, MA · On-site

Video projection and commercial display systems * Sound reinforcement and conferencing systems ... Mount, terminate, label, and dress equipment and cabling to company standards * Configure and test ...

Berklee

Annual Giving Assistant

Boston, MA

$16.97/hr

Video Production: Film personalized video messages for donors using the ThankView platform ... labeling) and data tracking. * Help manage project timelines, donor spreadsheets, and ...

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Video Labelling information

See Boston, MA salary details

$16

$27

$44

How much do video labelling jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for video labelling in Boston, MA is $27.62, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $31.59 per hour, depending on experience, location, and employer.

What is a video labelling?

A Video Labelling job involves annotating or tagging objects, actions, or events in video footage to train machine learning models. This process helps AI systems recognize and interpret visual data accurately. Tasks may include drawing bounding boxes, classifying scenes, or adding timestamps for specific events. Video labelling is commonly used in industries like autonomous driving, security surveillance, and content moderation.

What does a video labelling do?

A typical day in Video Labelling involves reviewing video footage, identifying and annotating specific objects or events according to project guidelines, and entering this data into specialized software tools. Team members often collaborate with data scientists, engineers, or quality assurance leads to ensure accuracy and consistency in the annotations. Depending on the project and employer, you may work independently or as part of a larger team, sometimes with set quotas or deadlines. This work is crucial for developing and refining AI and machine learning models, making attention to detail and adherence to standards especially important. Over time, experienced video labelling professionals may progress to quality assurance roles or team leads overseeing larger annotation projects.

What are the key skills and qualifications needed to thrive in video labelling, and why are they important?

To thrive as a Video Labelling professional, you should have excellent attention to detail, basic computer proficiency, and familiarity with visual content analysis. Knowledge of annotation platforms, video editing software, or AI training tools is often required, and experience with data labelling systems can be beneficial. Strong communication, reliability, and the ability to follow detailed guidelines are important soft skills for this role. These abilities ensure high-quality, consistent data annotation that directly supports machine learning and computer vision projects.

What are popular job titles related to Video Labelling jobs in Boston, MA?

For Video Labelling jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Video Labelling jobs in Boston, MA look for?

The top searched job categories for Video Labelling jobs in Boston, MA are:

What cities near Boston, MA are hiring for Video Labelling jobs?

Cities near Boston, MA with the most Video Labelling job openings:

Video Labelling jobs near you
Infographic showing various Video Labelling job openings in Boston, MA as of August 2026, with employment types broken down into 42% Full Time, 30% Part Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $57,456 per year, or $27.6 per hour.

Video Data Reviewer - Egocentric - AI Trainer

Mercor

Boston, MA • Remote

$20 - $25/hr

Full-time

Posted 11 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: AI Data Generalist — Egocentric Video Review
Type: Contract
Compensation: $20–$25/hour
Location: Remote
Duration: Approximately 2 weeks

Role Responsibilities

  • Review egocentric video data and complete structured quality-review tasks.
  • Evaluate action segments within videos for accurate start and end boundaries.
  • Adjust or flag incorrect boundaries following provided guidelines.
  • Maintain consistent judgment across a high volume of short action segments.
  • Complete assigned videos within the project timeline.

Qualifications

Must-Have

  • Excellent attention to detail and visual comprehension.
  • Ability to distinguish closely related actions and moments in video.
  • Comfort with structured, repetitive review work while maintaining accuracy.
  • Quick learning and consistent application of detailed annotation guidelines.
  • Strong written English communication skills.

Preferred

  • Experience with video annotation, data labeling, computer vision datasets, or egocentric video.

Start Date

  • Monday morning 17th August (PST)

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor