Analyze five-second driving videos and select the frame that best captures behaviors such as turning, yielding, or lane keeping. This UK contractor role pays $17 per hour and requires a valid UK driver’s license plus prior data-labeling experience.
Image & Video Annotation
Remote Hourly · $17/hr
$17/hr
Compensation
1 country
Eligibility
Intermediate
Experience
Jun 4, 2025
Posted
Open to applicants in
United Kingdom
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About AI Training Work
AI training is the human side of building artificial intelligence. People review and label examples, including images and video, so AI systems can learn to recognize patterns and respond more accurately. In this project, your annotations will support the development of autonomous driving systems.
Work with real examples used to improve AI systems
Use careful judgment and consistent labeling decisions
Contribute to cutting-edge vehicle and autonomy technology
The Role
As a Driving Behavior Video Annotator, you will review five-second driving video clips and identify the vehicle behavior shown. For each clip, you will select one frame that best captures the key behavior and assign a single label from a predefined list.
This is an intermediate-level, part-time contractor opportunity for candidates located in the UK. The role requires at least 20 hours per week, pays $17 per hour, and is conducted in English.
Role type: Contractor and part time
Location: United Kingdom
Expected commitment: 20+ hours per week
Pay: $17 per hour
Working language: English
What You'll Do
You will analyze short driving scenes and determine which frame most clearly represents the relevant vehicle action. Accuracy, attention to detail, and consistent use of the labeling guidelines are essential because the resulting data will be used to train autonomous driving systems.
Watch five-second driving videos
Identify behaviors such as turning, lane keeping, yielding, and lane following
Select the single frame that best captures the behavior
Apply one behavior label from the predefined list
Follow annotation instructions accurately across video clips
Requirements
You must have practical data-labeling experience and a strong understanding of driving behavior in the UK. Candidates should be comfortable analyzing short video clips, recognizing driving scenarios, and making careful decisions according to defined instructions.
A valid UK driver’s license is required. When confirming your license, you may submit the license ID with personal information, such as your birthdate or ID number, redacted.
At least 1–2 years of data-labeling experience
Valid driver’s license from the UK
Knowledge of local UK driving behaviors
Strong attention to detail
Ability to analyze short video clips
Ability to follow labeling guidelines accurately
Comfort working at least 20 hours per week
Candidate Assessment
The application includes an AI interviewer assessment for this role. The assessment will review your data-labeling experience, confirm your UK driver’s license status, and use scenario-based questions to evaluate your understanding of driving situations and ability to identify vehicle behaviors.
Candidates who do not have a valid driver’s license or cannot provide one will not pass the assessment. Be prepared to explain your relevant experience and describe how you would apply annotation instructions to driving video scenarios.
Discuss your prior data-labeling experience
Confirm that you hold a valid UK driver’s license
Answer scenario-based driving behavior questions
Demonstrate accurate and consistent judgment
Why Join AI Training
AI training and data annotation offer a way to work directly on the systems shaping the future of technology. Projects may involve reviewing visual data, evaluating model behavior, or preparing examples that help AI learn from the real world.
Many AI training opportunities provide flexible, part-time work that can fit around other commitments. Through OpenTrain, you can explore projects and build a career in this rapidly growing field.
Contribute to the development of autonomous vehicle AI
Use your driving knowledge in a technology-focused role
Gain experience in the growing AI training industry
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