Driving Behavior Video Annotator (US, Remote)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. Creating an OpenTrain account is free; the platform connects people who want flexible, remote work with projects that shape how modern AI systems learn.

About AI training and this work

AI training (also called data labeling or annotation) is the human effort behind how models learn. For autonomous driving, human annotators create accurate examples that teach vehicles to recognize behaviors like turning, yielding, and lane following. These roles are often remote, flexible, and open to people with a variety of backgrounds.

The role

We’re hiring Driving Behavior Video Annotators to watch short driving clips and select the single frame that best captures a target vehicle behavior. Your annotations will be used to train and evaluate autonomous driving systems that rely on clear, consistent human labels.

• Work with 5-second video clips labeled for a single behavior.
• Choose one frame per clip that best represents the behavior (e.g., turning, lane keeping, yielding).
• Use a web-based annotation tool (OTHER) to complete and submit labels.

What you'll do day to day

This is a focused, detail-oriented labeling task. You’ll review short videos and make a single-frame selection per clip, choosing the correct behavior from a predefined list and following project instructions precisely.

• Watch 5-second video clips and identify the key vehicle behavior.
• Select one frame that best captures that behavior and assign the correct label from a predefined list.
• Follow annotation guidelines and quality checks to ensure consistent labels.
• Report ambiguous clips or edge cases according to project instructions.

Requirements

You must meet all of the requirements below to be considered.

• Minimum 1–2 years of experience in data labeling or related annotation work (intermediate level).
• Valid U.S. driver's license required; candidates unable to provide a valid license will not be considered.
• License ID may be submitted with personal details (birthdate, ID number) redacted.
• Strong attention to detail and the ability to follow written labeling instructions precisely.
• Comfortable analyzing short driving video clips and making clear, consistent judgments.

Who should apply

This project is a good fit for annotators with driving experience and prior labeling work who want flexible, part-time remote work. Familiarity with driving behaviors and the ability to spot subtle motion cues in video are important.

• Annotators with 1–2 years of relevant experience.
• Drivers in the U.S. who understand local driving behavior and norms.
• People seeking part-time contract work under 20 hours per week.

Compensation, schedule, and logistics

This is a part-time contractor role paid hourly. Work is remote and flexible but requires a U.S. driver’s license as noted above.

• Pay: USD $18.00 per hour (PAY_PER_HOUR).
• Average expected time commitment: Less than 20 hours per week.
• Employment type: Contractor, Part-time.
• Data type: Video (5-second clips); Label type: Action recognition.

How to apply

Create an OpenTrain account (free) and submit your application for this role. You may be asked to complete a short qualification test and sample labeling tasks to verify accuracy and consistency. When requested, provide a copy of your valid U.S. driver's license; you may redact personal details like birthdate or ID numbers if desired.

• Apply via OpenTrain and complete any qualification tasks.
• Provide proof of a valid U.S. driver's license when prompted.
• If approved, you’ll receive project instructions, access to the annotation tool, and details for starting work.