AI Trainer – Audio Evaluation & Multilingual Benchmarking (Luxembourgish)

About the role

Innodata is seeking freelancers to join a short‑term project focused on evaluating audio outputs for Text‑to‑Speech (TTS) and Speech‑to‑Text (STT) systems. The work will support the creation of multilingual benchmarks that reflect Luxembourgish language usage and cultural nuances.

Key responsibilities

• Assess the linguistic quality, accuracy, fluency, and naturalness of TTS and STT audio samples.
• Provide detailed feedback on pronunciation, grammar, and dialectal variations.
• Contribute to the development of benchmark datasets aligned with Luxembourgish linguistic standards.
• Complete structured evaluation tasks within defined deadlines.

Required profile

• Native or near‑native fluency in Luxembourgish.
• Strong grasp of Luxembourgish grammar, pronunciation, and regional dialects.
• Prior experience in linguistic annotation, quality assurance, audio evaluation, or AI/LLM projects is preferred.
• Ability to work independently on well‑defined tasks and meet project timelines.

Required skills

What we offer

• Opportunity to contribute to cutting‑edge AI research.
• Flexible remote work arrangement.
• Collaboration with a global team of AI and data‑engineering experts.