AI Data Collection Contributor - Danish (Denmark)

Braintrust; Denmark; Remote; DKK 45,000 - 182,000; Full time

Job summary

Braintrust is seeking Denmark-based contributors fluent in Danish to support a remote data collection project. You will use a smartphone to photograph everyday objects, provide metadata and a product URL where applicable, and adhere to project-specific photography guidelines.

This flexible, remote role lets you work on your own schedule while helping AI initiatives. No prior AI data collection experience is required, and you will receive QA feedback to improve submissions.

Qualifications

• Must reside in Denmark.
• Fluent or near-native in Danish.
• Smartphone capable of taking clear, high-quality photos.
• Access to a variety of everyday objects to photograph.
• Able to follow detailed project and quality guidelines.
• Reliable and able to commit to a weekly asset-delivery schedule.

Responsibilities

• Take clear smartphone photos of everyday objects.
• Capture objects across household, electronics, clothing, food, books, toys, tools, and more.
• Provide required metadata for each image.
• Provide a valid product/reference URL when required.
• Follow project photography/quality guidelines.
• Incorporate QA feedback and resubmit assets as needed.
• Work toward an agreed weekly delivery schedule with the project team.

Skills

Danish language

Smartphone photography

Job description

About The Project

We are seeking Denmark-based contributors who are fluent or near-native in Danish to support a remote data collection project.

Participants will use their smartphones to capture high-quality photos of everyday objects, provide basic information about each item, and include a corresponding product URL where applicable. The collected images will be used to support the development and improvement of AI technologies.

This is a flexible, remote opportunity that can be completed on your own schedule.

What you'll do

• Take clear, high-quality smartphone photos of everyday objects.
• Capture objects across categories such as household items, electronics, clothing, food, books, toys, tools, outdoor items, signs, and other common products.
• Provide the required metadata for each image.
• Provide a valid product/reference URL for submitted objects where required.
• Follow project-specific photography and quality guidelines.
• Incorporate QA feedback and resubmit assets when corrections are needed.
• Work toward an agreed weekly delivery schedule with the project team.

Requirements

• Must currently reside in Denmark
• Must be fluent or near-native in Danish
• Must have a smartphone capable of taking clear, high-quality photos.
• Must have access to a variety of everyday objects that can be photographed.
• Able to accurately follow detailed project and quality guidelines.
• Reliable and able to commit to an agreed weekly asset-delivery schedule.
• Must complete required project consent/agreement documentation before beginning.

No professional photography or previous AI data collection experience is required.

Expected workload

Contributors will work with the project team to establish a weekly delivery schedule.

• The current target is approximately 100-400 approved photos/assets per week, depending on the language, project priority, and contributor availability.
• There is no fixed hourly schedule. Contributors may submit additional qualifying assets throughout the project, subject to project guidelines and QA approval.
• The current project deadline is October 30, 2026, although timing may change depending on overall asset delivery.

Compensation

• Compensation is paid per approved asset.
• Rate: $1.50 USD per approved asset
• Only assets that meet the project's quality requirements and pass QA will be eligible for payment. The project team will provide detailed guidelines and feedback to help contributors meet the required standards.
• At the expected productivity rate, this may equate to roughly $28 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.