Local Area Face Collection Specialist

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI hires and contracts contributors for projects that help develop the next generation of artificial intelligence.

Create a free OpenTrain account to build your profile and apply in minutes for remote and local opportunities across the growing AI-training industry.

• Contractor and part-time opportunity
• Hourly pay of $25 to $30 USD
• Less than 20 hours per week
• Worldwide opportunity, with local-area participation required

About AI Training and Data Collection

AI training depends on real-world examples prepared and reviewed by people. Data collection contributors gather high-quality images and other information that help AI systems learn to recognize and respond to the world around them.

This role focuses on facial image collection in offline settings. Your work can help support cutting-edge AI development while offering flexible, part-time participation.

• Help create datasets used in AI development
• Work with real-world image data
• Contribute to a fast-growing technology field

The Role

OpenTrain AI is seeking experienced local teams for offline facial data collection projects in local areas. Teams must be based in the areas where collection takes place and have proven experience completing on-the-ground facial data collection projects.

The work requires careful coordination and consistent quality across diverse participants and collection environments. This is a part-time contractor opportunity requiring less than 20 hours per week.

• Role: Local Area Face Collection
• Work type: Offline image data collection
• Engagement: Part-time contract
• Pay: $25 to $30 USD per hour

What You’ll Do

Your team will conduct on-the-ground facial data collection in local areas. Successful project work depends on gathering usable data across a broad range of people and conditions while following the required quality standards.

• Collect facial image data through offline, on-the-ground projects
• Support collection involving diverse demographics
• Work across varied lighting conditions
• Follow strict quality control protocols
• Coordinate participation as a local collection team

Requirements

This opportunity is intended for local teams with demonstrated experience in offline facial data collection. Each team must be based in a local area and able to manage collection work in person.

Basic English proficiency is required. Applicants should be prepared to maintain consistent quality while working with diverse demographics and varied lighting conditions.

• Must be a local team based in the project area
• Proven experience with on-the-ground facial data collection projects
• Ability to handle diverse demographics
• Ability to work in varied lighting conditions
• Ability to follow strict quality control protocols
• Basic English proficiency

Who Should Apply

Apply if your team has practical experience collecting facial image data offline and can deliver consistent results in local settings. This role may suit established field collection teams looking for flexible, part-time AI-training work.

No specific academic background is listed for this opportunity. The key qualifications are relevant collection experience, local availability, attention to quality, and basic English proficiency.

• Experienced offline data collection teams
• Teams comfortable working with varied participants and environments
• Local operators seeking flexible AI-training contracts
• Teams able to commit to less than 20 hours per week

How to Apply

Apply through OpenTrain by creating a free account and building a profile that reflects your team’s facial data collection experience, local availability, and quality-control capabilities.

OpenTrain AI is the hiring and contracting organization for this opportunity. Review the project details carefully and submit your application through OpenTrain.

• Create a free OpenTrain account
• Highlight your team’s relevant offline collection experience
• Include your local-area availability
• Apply through OpenTrain in minutes