AI Data Collection Contributor - Dutch (Netherlands)
$1.5 per hour
Key Skills
Job Description
About The Project We are seeking Netherlands-based contributors who are fluent or near-native in Dutch 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 Netherlands Must be fluent or near-native in Dutch 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 $26 USD/hour, although actual earnings will depend on the number of qualifying assets completed and approved.
Core Responsibilities
Photograph everyday objects with a smartphone, provide required metadata and product reference URLs where applicable, and follow project photography and quality guidelines. Meet the agreed weekly delivery schedule, respond to quality assurance feedback, and resubmit assets when corrections are needed.
Requirements
Applicants must reside in the Netherlands, be fluent or near-native in Dutch, have a smartphone capable of taking clear photos, and have access to a variety of everyday objects. They must follow detailed guidelines, reliably meet an agreed weekly delivery schedule, and complete project consent documentation; prior photography or AI data collection experience is not required.
About DATAmundi
Industry: Technology, Information and Internet
Company size: 201-500 employees
DATAmundi provides human data solutions for frontier AI. We are an expert-led human data partner, helping AI teams build, fine-tune, and continuously evaluate global AI systems with high-quality multilingual, multimodal, and domain-specific data. Our clients trust us to support their most advanced AI projects, helping them build frontier AI models responsibly, from the lab to real-world deployment. We have a global network of vetted, multilingual AI contributors and domain experts, supported by our proprietary technology platform, AIDA Hub. Together, they enable efficient, agile, and scalable data operations across the entire AI data lifecycle. We work across 200+ languages, including rare and low-resource languages.