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Driving Behavior Video Annotator (UK License Required)

Annotate short driving videos to help train autonomous vehicle systems — work remotely as a part-time contractor with a UK driver’s license and 1–2 years of labeling experience. Paid hourly at $17 for 20+ hours/week.

OpenTrain AI

Image & Video Annotation

100% Remote Hourly · $17/hr

$17/hr

Compensation

Worldwide

Eligibility

Intermediate

Experience

Jun 4, 2025

Posted

Open worldwide

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About OpenTrain

OpenTrain is the #1 platform for building careers in AI training and data labeling. We connect contributors with real projects that teach and shape modern AI systems.

Working through OpenTrain means joining a fast-growing industry where accurate human examples are essential to how AI systems learn and behave.

About AI Training Work

AI training (also called data labeling or annotation) is the human side of building AI. Labelers watch, interpret, and tag examples — images, video, and audio — that models learn from.

This project focuses on vehicle behavior from short video clips. Your annotations will directly influence how autonomous-driving systems recognize actions like turning, yielding, and lane following.

Role overview

We’re hiring experienced video annotators to identify a single frame in short driving clips that best represents a defined vehicle behavior. This is a remote, contract, part-time role paying $17/hour.

Workload is expected to be 20+ hours per week. The labeling task uses a custom tool (listed as OTHER) and focuses on action recognition in 5-second video clips.

  • Position type: Contractor, Part-time
  • Pay: $17 per hour (PAY_PER_HOUR)
  • Time commitment: 20+ hours/week
  • Data type: Video; Label type: Action recognition

What you’ll do

Watch short (approximately 5-second) driving video clips and select one single frame that best captures the target vehicle behavior.

Choose the correct label from a predefined list of behaviors (for example: turning, lane keeping/following, yielding). Follow detailed annotation guidelines to ensure consistency.

  • Open each clip and review the full 5 seconds before selecting the frame.
  • Pick one frame per clip that best represents the labeled behavior.
  • Apply the predefined behavior label accurately and consistently.
  • Follow quality checks and feedback from project reviewers.

Requirements

This is an intermediate role: applicants should have at least 1–2 years of data-labeling or annotation experience and be comfortable analyzing short driving videos.

A valid United Kingdom driver’s license is required. Licence documentation may be submitted with personal details (birthdate, ID number) redacted; applicants who cannot provide proof of a UK licence will not pass screening.

  • Minimum experience: 1–2 years in data labeling/annotation
  • Must hold a valid UK driver’s license (verification required)
  • Attention to detail and ability to follow annotation instructions
  • Comfortable using a custom labeling tool (OTHER)

How hiring and work delivery work

Applications will be screened for experience and UK licence verification. Candidates may receive short scenario-based checks to confirm judgment on driving behaviors.

Once approved, you’ll receive access to the labeling platform, project instructions, and quality guidelines. Feedback cycles and spot-checks ensure label consistency and accuracy.

  • Screening includes experience review and licence verification (redacted copies accepted).
  • You may be asked to complete brief scenario-based questions or test annotations.
  • Ongoing quality reviews determine continued project participation.