SpaceXAI is seeking an AI Tutor specialized in Kazakh to train and refine its multilingual audio AI, Grok. The role focuses on curating, annotating, and providing high‑quality audio data to enhance voice interactions across diverse languages and accents. Candidates will collaborate with technical staff to improve AI performance on speech modulation, accent variation, and noise handling, while also refining annotation tools for efficient workflows. The position is fully remote and can be offered as full‑time, part‑time, or contractor, with competitive hourly rates for U.S. candidates.
AI Tutor - Kazakh na SpaceXAI
Remoto - Remote
Ver mais vagas na SpaceXAISalary
USD 35 - 45/hour
Requirements
Skills
- Native proficiency in Kazakh with exposure to diverse accents, dialects, or regional variations
- Proficiency in English (minimum B2 level) with clear, natural vocal delivery suitable for audio recording
- 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 with high consistency and accuracy
- Background in linguistics, speech sciences, cognitive science, or related field, or equivalent practical experience
- Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge of training voice models
- Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience
- Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions
- Portfolio of 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 encouraged
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 softwareAnnotation tools
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