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Contract Video Labelling Jobs (NOW HIRING)

Video Installation Technician

Mclean, VA · On-site

$97K - $161K/yr

... labeling cables, racks, patch panels, etc. * Assembling and connecting different components of a ... Contract Wage Determination, relevant work experience, skills and competencies that align to the ...

Contract Compensation: $20-$25/hour Location: Remote Duration: Approximately 2 weeks Role ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

... contract values are accurate and complete. * Maintain the audio/video shared project tracking ... Coordinate the receipt, organization, and labeling of project materials in the warehouse, ensuring ...

... contract values are accurate and complete. * Maintain the audio/video shared project tracking ... Coordinate the receipt, organization, and labeling of project materials in the warehouse, ensuring ...

You own the data side of the contract that defines what a model consumes and emits and annotation ... Labels & Annotation Data Lifecycle: Own how labels and semantic annotations are appended to ...

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Contract Video Labelling information

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$16

$26

$37

How much do contract video labelling jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for contract video labelling in the United States is $26.15, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $31.49 per hour, depending on experience, location, and employer.

What is the difference between Contract Video Labelling vs Data Annotation Specialist?

AspectContract Video LabellingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often with additional domain-specific knowledge
Work EnvironmentRemote or on-site, project-basedRemote or on-site, often in tech or AI companies
Industry UsagePrimarily in autonomous vehicles, surveillance, AI trainingBroader, including AI, machine learning, and data analysis

Contract Video Labelling and Data Annotation Specialist roles both involve labeling data for AI training. However, Contract Video Labelling focuses specifically on annotating video content, while Data Annotation Specialists may work with various data types, including images, text, and audio. Both roles require attention to detail and similar skills, but Contract Video Labelling is more specialized in video data, often in industries like autonomous vehicles and surveillance.

What cities are hiring for Contract Video Labelling jobs?

Cities with the most Contract 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 Contract Video Labelling jobs?

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

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

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

Infographic showing various Contract Video Labelling job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $54,383 per year, or $26.1 per hour.

Annotation Specialist, Video (Contract)

San Francisco, CA • On-site

$25/hr

Part-time

Posted 5 days ago


Job description

Annotation Specialist, Video (Contract) - Onsite in SF
Pay: $25/hr
Hours: Part-time, 4-8 hours daily
Term: 10 weeks, with possible extension
Where: Onsite, San Francisco - equipment supplied at our office
Our AI Team is bringing on a contract Annotation Specialist to help build and refine the video datasets behind our models. You'll spend your day reviewing footage, applying labels, and flagging the things automated systems miss.
Day-to-day responsibilities
  • Review video assets in a range of formats and apply annotations according to project guidelines
  • Assess and tag content with a consistently high accuracy rate
  • Report back to the AI Team on footage quality issues and questionnaire design
  • Raise edge cases, contradictions in the guidelines, and process improvements as you spot them

What we're looking for
  • Meticulous eye for detail and consistency over long review sessions
  • Fluent English - reading, writing, and verbal
  • Annotation, labeling, or QA experience is a plus, though not required