Local Area Face Collection

About OpenTrain

OpenTrain aggregates data-labeling and AI-training opportunities from many companies and platforms into one job board, so contributors can discover projects without searching dozens of sites.

Creating an OpenTrain account is free and applying takes only a few minutes.

• Centralized listings of AI data-collection and labeling work.
• Simple application process and worldwide project listings.

Why This Work Matters

Human-collected image data is essential to train and evaluate modern computer-vision models. High-quality, diverse facial image datasets help models perform reliably across real-world conditions.

Data-collection roles put teams on the front lines of model development: your work directly shapes how systems perceive and interpret faces.

• Collecting varied images improves model accuracy across demographics and lighting.
• Contributors enable safer, more robust AI by following strict quality controls.

The Role

We are hiring local, on-the-ground teams to perform offline facial data collection in their own local areas. Teams should be able to plan and execute in-person image capture tasks while maintaining project quality standards.

This is a part-time, contractor opportunity open worldwide to teams that are based locally where they will collect data.

• Project type: Image data collection (face collection) — DATA_COLLECTION.
• Employment: Contractor, Part-time.
• Experience level: Entry level (project requires teams with proven offline facial collection experience).

What You'll Do

You will perform supervised, offline capture of facial images according to project instructions and quality standards. Work is field-based and requires attention to consistency across captures.

• Capture facial images across diverse demographics and age groups as specified.
• Collect images under varied lighting conditions and environments per project guidelines.
• Follow strict quality-control protocols and project-specific capture instructions.
• Record required metadata and submit data in the requested format (image files and accompanying metadata).

Requirements

Applicants must be organized local teams with demonstrable, on-the-ground experience running offline facial data collection projects. Basic English proficiency is required for reading project instructions and communicating with coordinators.

• Must be a local team based in the area where collection will occur.
• Proven experience in offline facial data collection projects is required.
• Ability to reliably capture diverse participants and manage varied lighting conditions.
• Ability to follow strict quality-control protocols and project instructions.
• Basic English proficiency to read instructions and coordinate with project staff.

Compensation & Schedule

This role is paid hourly on a contractor basis. Work is typically under 20 hours per week and schedules are part-time and flexible within project constraints.

• Payment type: Pay per hour (USD).
• Hourly rate: $25.00–$30.00 USD per hour.
• Time commitment: Less than 20 hours per week (part-time).
• Location: Worldwide — applicants must operate locally in their collection area.

Tools, Data Type, and Delivery

This project collects image data only. The labeling/software environment is listed as Other, so project-specific capture tools and submission formats will be provided during onboarding.

• Data type: IMAGE (facial image collection).
• Labeling/collection type: DATA_COLLECTION.
• Labeling software: Other (project-specific tools and instructions provided).

How to Apply

Apply through OpenTrain by creating an account and submitting your team profile. Include concrete examples of prior offline facial-collection work and a brief description of your local capacity and processes.

• When applying, provide: team size, base location, examples or portfolio of past offline facial collection projects, and a short summary of your capture and QC process.
• Applications are reviewed by the project team; qualified teams will be contacted with onboarding instructions.