Apus: Audio Transcription Verifier German (Switzerland)

Weloglobal seeks a German-speaking freelance audio transcription verifier in Switzerland to ensure accuracy and quality for an AI training data project. The role is fully remote with flexible hours and offers opportunities for growth and impact in AI development.

Welo Data, part of Welocalize, is seeking experienced quality reviewers for a high-profile AI training data project with a leading voice AI platform. As a Verifier, you will help shape how AI understands human speech by ensuring transcription accuracy and compliance with quality standards.

Responsibilities

• Check short audio transcriptions (around 5 seconds) for correctness and alignment with project guidelines.
• Approve valid transcriptions or reject inaccurate ones, providing clear and actionable feedback.
• Spot and fix issues related to punctuation, formatting, and style guide application.
• Help Analysts improve quality through constructive input.
• Report recurring problems to the project lead for further action.

Requirements

• Prior experience reviewing audio transcriptions for accuracy and quality.

What the company offers

• Limitless Flexibility: project-based work that fits your schedule, fully remote with full autonomy.
• Limitless Growth: optional access to AI and Large Language Model workshops tailored for professionals like you.
• Limitless Support: join a global contributor community with responsive guidance and assistance.
• Real Impact: use your expertise in the Legal field to influence AI systems shaping the future of your industry.

About the company

Welo Data, part of Welocalize, is a global AI data company with over 500,000 contributors delivering ethical, high-quality data to train advanced AI systems. They aim to build smarter, more human AI through a diverse community across 100+ countries, offering limitless opportunities for contributors to grow and work on their own terms.

• Global community of contributors across 100+ countries.
• Commitment to ethical and high-quality AI training data.
• Focus on human-powered AI development with flexible, contributor-centered work models.
• Opportunities for professional growth through AI and LLM workshops.