About The Position

An Enterprise client is seeking a high volume of Dutch-speaking coding experts with JSON expertise to combine language fluency, customer service judgment, and technical evaluation skills to help improve the quality, accuracy, and usability of AI-generated outputs, in an audio format. Work is expected to begin right away, and continue for 2-3 months, with the potential for additional work beyond this initial project. Experts may work at any schedule of their choosing, for as long as tasks are available. Experts (Operators) will review a mix of customer service-style responses and technical content, with a strong focus on coding knowledge, JSON structure, formatting accuracy, and overall response quality. Experts should be comfortable identifying whether outputs are clear, helpful, natural, technically accurate, and aligned with project guidelines. Fluency in Dutch, as spoken in Canada, the United States, or the United Kingdom, is required. Experts with multilingual fluency may be offered work for this project and/or others, in additional languages.

Requirements

  • Pass a basic computational concepts assessment (JSON structures, function, general reasoning, and language proficiency)
  • Strong spoken-language proficiency: C1/C2-level fluency (CEFR) in Dutch, verified through a speaking/listening assessment
  • Technical literacy: JSON fluency required - reading, validating, troubleshooting, and identifying structural/formatting issues
  • Audio setup: capable of producing clear audio quality with no background noise
  • Strong attention to detail
  • Strong written communication skills
  • Ability to evaluate both the customer experience and the technical correctness of a response
  • Solid understanding of JSON, including the ability to read, validate, troubleshoot, and identify structural or formatting issues.

Nice To Haves

  • Multilingual fluency may be offered work for this project and/or others, in additional languages.

Responsibilities

  • Participating in live, real-time conversational scenarios with AI systems
  • Reviewing and labeling conversation transcripts
  • Evaluating AI-generated responses using structured rubrics and providing written justifications
  • Assessing responses for language quality, customer experience, technical accuracy, formatting, and JSON structure
  • Capturing required session artifacts, including recordings, Session IDs, and tool-call/console logs
  • Environment preparation and tool verification before each session
  • Experts should speak naturally and spontaneously, as if responding in real time, without pre-planned, written, or scripted responses - the client is evaluating natural voice cadence.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service