Label instances of People - Small project

About OpenTrain

OpenTrain is a centralized job board for data-labeling and AI-training work. It aggregates projects from many AI teams and labeling platforms so contributors can find tasks in one place without hunting across dozens of sites.

Creating an OpenTrain account is free, and applying for projects usually takes only a few minutes.

About AI Training Work

AI training (also called data labeling or annotation) is the human side of building artificial intelligence. People prepare and review examples — like images or text — that models learn from, which helps make AI more accurate, safe, and useful.

This project focuses on image classification: a simple, entry-level task that directly affects how computer vision systems detect people in driving scenarios.

The Role

OpenTrain AI is looking for a remote contractor to classify 100 dashcam images. Your job is to mark each image as either containing one or more people (humans) or not.

This is a short, part-time assignment suited to entry-level contributors and contributors worldwide.

• Project size: 100 images from a dashcam in a city environment.
• Data type: images (car driving images).
• Label type: classification (presence or absence of people).
• Labeling tool: Label Studio.

What You'll Do

Open each image in Label Studio and answer a simple classification question: Does the image contain any people (humans)?

Follow any brief task instructions and examples provided in the labeling interface to ensure consistent judgments across the dataset.

• Review each image for visible people (pedestrians, cyclists, passengers visible through windows, etc.).
• Select the appropriate label (people present / no people) for every image.
• Work until all 100 images are classified according to the task guidelines.

Requirements

This is an entry-level project with no prior labeling experience required. You should have a dependable internet connection and a device that runs Label Studio (desktop is recommended).

The project is open to contributors worldwide and offered as a short-term contract with flexible hours (under 20 hours per week).

• Experience level: Entry level — no specialized background required.
• Time commitment: Less than 20 hours per week until the 100 images are completed.
• Employment types: Contractor, Part-time.
• Worldwide: Open to contributors in any country.

Compensation

This project is paid as a fixed-price contract. The fixed payment for completing the task is USD 5.95.

There is no hourly rate provided; payment is issued for the completed work as specified by the client.

• Payment type: Fixed price.
• Fixed payment amount: $5.95 (USD) for the project.

How It Works & How to Apply

If this project fits your skills and availability, apply through the OpenTrain listing. Once accepted you'll receive instructions and access to the images inside Label Studio.

Complete the classifications according to the task guide. After submission, the client will review your work and process payment for the project.

• Apply on OpenTrain and wait for assignment confirmation.
• Work remotely using Label Studio until all 100 images are labeled.
• Submit completed work for client review and receive the fixed payment.