Analyze five-second driving videos in a flexible, part-time contractor role based in Germany. Select the frame that best represents behaviors such as turning, lane keeping, or yielding for autonomous driving AI training.
Image & Video Annotation
Remote Hourly · $19/hr
$19/hr
Compensation
1 country
Eligibility
Entry
Experience
Jun 4, 2025
Posted
Open to applicants in
Germany
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About AI Training Work
AI training is the human side of building artificial intelligence. People review and label examples that help modern systems understand the world, including video clips used to teach autonomous driving models how vehicles behave in real situations.
Work directly with data used to improve AI systems
Analyze examples and apply clear labeling guidelines
Contribute to a fast-growing, cutting-edge technology field
The Role
As a Driving Behavior Video Annotator, you will watch five-second driving videos and select one frame that best captures a key vehicle behavior. Each clip receives one label from a predefined list, such as turning, lane keeping, yielding, or lane following.
This is a part-time contractor opportunity for applicants located in Germany. The role pays $19 per hour and requires less than 20 hours per week. Work is conducted in English.
Job type: Part-time contractor
Location: Germany
Pay: $19 per hour
Time commitment: Less than 20 hours per week
Data type: Video
Task type: Vehicle behavioral video annotation
What You'll Do
You will review short driving clips, identify the relevant vehicle behavior, and choose the single frame that represents it most accurately. Your annotations must consistently follow the provided labeling instructions.
Watch five-second driving video clips
Identify behaviors such as turning, yielding, lane keeping, and lane following
Select the best frame for the behavior shown
Apply one label from the predefined behavior list
Support training data for autonomous driving systems
Requirements
Applicants must have one to two years of data-labeling experience, a valid driver’s license issued in Germany, and knowledge of local driving behaviors. You should be detail-oriented, comfortable analyzing short video clips, and able to follow annotation guidelines accurately.
A license ID may be submitted with personal details, such as your birthdate or ID number, redacted. Holding and providing a valid German driver’s license is required.
One to two years of data-labeling experience
Valid driver’s license from Germany
Knowledge of driving behaviors in Germany
Strong attention to detail
Comfort analyzing short video clips
Ability to follow labeling instructions accurately
English-language communication
Candidate Assessment
The selection process assesses your data-labeling background, understanding of driving scenarios, and ability to apply annotation guidelines. You may be asked to confirm your experience and license status and answer scenario-based questions about identifying vehicle behaviors.
Applicants who cannot confirm or provide a valid driver’s license from Germany will not qualify for the role.
Discuss your previous data-labeling experience
Confirm your valid German driver’s license
Answer scenario-based driving behavior questions
Demonstrate careful and consistent judgment
How to Apply
Apply through OpenTrain AI to be considered for this flexible AI training project. Creating an OpenTrain account is free, and you can build your profile before applying.
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Submit your application through OpenTrain
Be prepared to confirm your license and relevant experience
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