Driving Behavior Video Annotator
About OpenTrain
OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the leading platform for finding and building careers in AI training and data labeling, helping people discover projects, build their profiles, and apply in minutes.
Creating an OpenTrain account is free, and this opportunity gives you a direct way to contribute to the development of autonomous driving technology.
- Remote contract opportunity for candidates located in the United States
- Part-time workload of less than 20 hours per week
- Pay: $18 USD per hour
About AI Training and Video Annotation
AI training is the human side of building artificial intelligence. People prepare and review examples that help AI systems understand the world, including video clips showing vehicles and real-world driving situations.
In this project, your annotations will help train autonomous driving systems to recognize important vehicle behaviors from short videos.
- Work with video data rather than text or audio
- Identify visible actions and behaviors in driving scenes
- Your careful judgments help improve machine-learning systems
The Role
As a Driving Behavior Video Annotator, you will review five-second driving video clips and select one frame that best captures a key vehicle behavior. Each clip receives one label from a predefined list.
Examples of behaviors include turning, lane keeping, yielding, and lane following. Strong knowledge of local US driving behaviors is essential because accurate labels depend on understanding how driving scenarios unfold.
- Role level: Intermediate
- Data type: Video
- Annotation focus: Action recognition
- Language: English
- Location: United States
What You’ll Do
You will analyze short clips carefully, identify the most relevant vehicle behavior, and choose the single frame that represents it best. The work requires consistent interpretation of predefined annotation categories and close attention to visual details.
Candidates will also complete an AI interview focused on their data-labeling experience, driving-scenario judgment, understanding of annotation guidelines, and ability to follow instructions accurately.
- Watch five-second driving videos
- Select the strongest frame for the behavior shown
- Assign one behavior from the predefined label list
- Evaluate scenarios involving turning, yielding, lane keeping, or lane following
- Follow labeling instructions accurately and consistently
Requirements
This role is intended for experienced data labelers who understand US driving behavior and can assess short video clips with precision. You must hold a valid driver’s license issued in the United States.
During the assessment, you will be asked to confirm your license status and answer scenario-based questions. A driver’s license is mandatory, and candidates who cannot provide one will not pass the assessment.
When submitting license information, you may redact personal details such as your birthdate or identification number.
- At least 1–2 years of data-labeling experience
- Valid driver’s license from the United States
- Knowledge of local US driving behaviors
- Strong attention to detail
- Comfort analyzing short video clips
- Ability to follow annotation guidelines accurately
- English-language proficiency
Work Details and How to Apply
This is a part-time contractor opportunity with a workload of less than 20 hours per week and pay of $18 USD per hour. The position is open to candidates in the United States.
Apply through OpenTrain by creating a free account and presenting your relevant data-labeling experience and driver’s license status. The AI interview will assess your qualifications and judgment in recognizing driving behaviors before you begin project work.
- Employment type: Contractor and part time
- Hours: Less than 20 per week
- Rate: $18 USD per hour
- Open to US-based applicants only
- Driver’s license confirmation is required during assessment
