About the Role:
We're looking for fluent native or near native Dutch speakers to take part in a scripted audio data collection project. This is a remote, freelance opportunity that's simple, flexible, and a great way to earn extra income while contributing to the development of future AI and voice technology.
Key Responsibilities
Record scripted prompts (each under one minute) on our platform the estimated task duration is 1 hour
Read each script prompt accurately and naturally in Dutch using a laptop
Follow guidelines to ensure clarity, consistency, and natural delivery
Project Details:
Start Date: ASAP
Duration: up to 2 hours with possible extension
Job Type: Freelance
Location: Remote (Netherland)
Language: Dutch
Pay Rate: $32.00/hour What We’re Looking For
Native or near native proficiency in Dutch
Proficient in English for guidelines and communication
Can record audio with some background noise, free of echo or distortion
Laptop or desktop, stable internet; headset or external mic recommended Thank you for your interest in joining Welo Data’s community and contributing to this exciting project. We look forward to collaborating with you!
Welo Global, through its Welo Data brand, is a multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. The company delivers human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts at every stage from training through deployment. With a global network of 500,000+ vetted experts spanning 300+ languages and locales, Welo Data enables high-quality multilingual data creation and structured model evaluation across modern AI applications including large language models, voice and speech systems, agentic workflows, and robotics. The company addresses critical AI development challenges including safety, bias, inclusivity, and cross-lingual reliability through specialized program and quality expertise, supported by NIMO™, their proprietary identity and fraud-prevention framework.
