Classify People in Dashcam Images

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect people with short contracts and ongoing projects that teach and shape how modern AI systems learn.

For this role, OpenTrain AI is the hiring organization and will manage the project, instructions, and access to the labeling workspace.

About AI training and data labeling

AI training (also called data labeling or annotation) is the human work behind every modern AI system. Contributors create the examples and judgments models learn from—image classification, transcription, translation, and more.

This work is often remote, flexible, and accessible to people without prior experience; it’s a straightforward way to earn while contributing to cutting-edge AI development.

The role

This is a small, entry-level image-classification project: review 100 dashcam images and mark whether each image contains one or more people (humans).

Work is part-time/contractor, worldwide, and expected to require less than 20 hours per week.

  • Data type: Images (dashcam driving scenes)
  • Label type: Classification (people present vs. no people)
  • Tool: Label Studio
  • Project size: 100 images
  • Experience level: Entry level
  • Work arrangement: Contractor, part-time, remote (worldwide)

What you'll do

Follow the project instructions in Label Studio and inspect each image to determine whether people are visible. Choose the correct classification option for every image.

Keep labels consistent and pay attention to small or partially obscured people in the scene.

  • Open each image in Label Studio and apply the binary label: 'person present' or 'no person present'.
  • Work through the provided 100-image set, following any clarifying examples or edge-case rules supplied in the instructions.
  • Flag any images that are unclear or that violate quality guidelines (if asked).

Requirements

There is no specialized prior experience required—this project is open to contributors at the entry level. Careful attention to detail and basic familiarity with web tools will help.

You must be able to use Label Studio; specific access and simple instructions will be provided for the task.

  • Access to a computer with a stable internet connection
  • Comfort using a browser-based labeling interface (Label Studio)
  • Ability to work remotely on a part-time contractor basis
  • No language, country, or professional credentials are required

Payment and time commitment

This project is offered as a fixed-price contract: the total fixed payment is USD 5.95 for the 100-image task. Work is expected to take under 20 hours per week and can be completed from anywhere.

OpenTrain AI is the hiring organization managing the project and payment.

  • Payment type: Fixed price (USD 5.95 total)
  • Expected weekly time: Less than 20 hours
  • Employment type: Contractor, part-time
  • Scope: 100 images to classify

How it works and how to apply

Create a free OpenTrain account, review the project details, and apply. If selected, you’ll receive access to the Label Studio workspace and project instructions to begin labeling.

Complete the assigned images according to the instructions; follow any in-task guidance and submit your completed work through the OpenTrain workflow.

  • Sign up for an OpenTrain account (free)
  • Apply to this project from your OpenTrain profile
  • Work in Label Studio using the provided instructions and submit when finished
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