AI Tutor at SpaceXAI

Remote - Remote

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SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. This role invites a multilingual audio tutor to train and refine Grok’s voice interactions, speech recognition, and auditory experiences across diverse languages and accents. The candidate will curate and annotate high-quality audio data, collaborate with technical staff, and improve annotation tools to support the development of global, spoken AI capabilities.

Salary

USD 35 - 45/hour

Requirements

Skills

  • Native proficiency in Kyrgyz with exposure to diverse accents, dialects, or regional variations
  • Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes
  • Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages
  • Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form
  • Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality
  • 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
  • Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively
  • Commitment to developing AI that masters sophisticated multilingual audio capabilities
  • Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work
  • Deep understanding and taste of what good/useful Audio data is
  • Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy
  • Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns
  • Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance
  • Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience, or similar audio production demonstrating attention to clarity and recording quality
  • Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions
  • Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail
  • Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply

Responsibilities

  • 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
  • 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
  • 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
  • Work with technical staff to improve annotation tools for efficient audio workflows

Technologies

Proprietary softwareAudio annotation tools

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