People Image Classification Annotator

About OpenTrain

OpenTrain AI is the organization hiring and contracting for this project. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, create a profile, and apply in minutes.

• Free OpenTrain account
• Remote AI training and data-labeling opportunities
• Apply as an independent contractor

About AI Image Training

AI systems that understand the visual world learn from images reviewed and labeled by people. Image classification work like this helps models recognize important objects and scenes in everyday environments.

• Contribute to the human side of AI development
• Work remotely with an internet-connected computer
• Build experience in image annotation and data labeling

The Role

OpenTrain AI is seeking an entry-level image classification annotator for a small project involving 100 dash-cam images captured while driving around a city environment. You will classify whether each image contains people, or humans.

• Role: People Image Classification Annotator
• Project size: 100 images
• Data type: Images
• Annotation type: Classification
• Labeling software: Label Studio
• Experience level: Entry level
• Language: English
• Location: Afghanistan
• Engagement: Part-time contractor
• Time requirement: Less than 20 hours per week
• Payment: $5.95 fixed price

What You'll Do

Review each dash-cam image and determine whether people are visible. Your classifications will help prepare visual training data for AI systems working with images from urban driving environments.

• Open and review 100 city-driving images
• Identify which images contain people
• Apply the appropriate classification in Label Studio
• Complete the project accurately within the part-time time limit

Requirements

This is an entry-level project focused on straightforward image classification. Candidates should be able to review visual content carefully and complete the assigned image-labeling tasks in English.

• Available for less than 20 hours per week
• Based in Afghanistan
• Able to work in English
• Comfortable reviewing dash-cam images from a city environment
• Able to use Label Studio for image classification

Who Should Apply

This project may suit someone looking for a small, flexible way to gain practical experience in AI training and data labeling. Careful reviewers who can consistently distinguish images containing people may be a strong fit.

• Entry-level AI training contributors
• People interested in image annotation
• Detail-oriented reviewers seeking part-time remote work
• Candidates located in Afghanistan

How to Get Started

Create a free profile with OpenTrain AI and apply for this project. If selected, you will complete the image classification assignment as a part-time independent contractor using Label Studio.

• Create or update your OpenTrain profile
• Apply to the project in minutes
• Review the assignment details
• Classify the 100 images accurately