AI Tutor - Danish

xAI xAI · AI Frontier · Remote · Human Data

The role focuses on training and refining AI models (Grok) for multilingual audio capabilities, including voice interactions, speech recognition, and auditory experiences. Responsibilities involve curating and annotating high-quality audio data, providing labels, annotations, and recordings for various languages and accents, and collaborating with technical staff to improve AI's speech processing and annotation tools. The goal is to enhance global accessibility and natural spoken interactions.

What you'd actually do

  1. Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
  2. Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
  3. Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
  4. Work with technical staff to improve annotation tools for efficient audio workflows.

Skills

Required

  • Native proficiency in Danish
  • Proficiency in English (minimum B2 level)
  • Strong auditory perception
  • Ability to handle multilingual audio content
  • Ability to transcribe audio with high accuracy
  • Comfort providing high-quality voice recordings and feedback
  • Strong comprehension skills
  • Ability to make independent judgments on ambiguous or varied audio material
  • Strong communication, interpersonal, analytical, detail-oriented, and organizational skills

Nice to have

  • Exceptional attention to linguistic nuance, auditory detail, and data quality
  • Deep understanding and taste of what good/useful Audio data is
  • Strong command of advanced transcription and annotation practices
  • Background in linguistics, speech sciences, cognitive science, or a related field
  • Experience working with speech/audio datasets, annotation workflows, or AI training data
  • Knowledge/experience with training voice models
  • Understanding of how data quality impacts model performance
  • Professional experience in voice work (voice acting, recording, podcasting)
  • Portfolio of voice samples, annotated transcripts, or audio-related work

What the JD emphasized

  • Native proficiency in Danish
  • Proficiency in English (minimum B2 level)
  • Strong auditory perception
  • Demonstrated ability to handle multilingual audio content
  • Demonstrated ability to transcribe audio with high accuracy
  • Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
  • Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
  • Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Other signals

  • training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts
  • curating and annotating high-quality audio data to enhance Grok's global accessibility
  • bridging language barriers through accurate speech processing
  • improving the AI's handling of multilingual audio nuances