AI Tutor - Chinese at xAI · LumiJobs

Qualification

Strong communicationBackground in linguistics (eProfessional experience in voice work

Native proficiency in Chinese 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 (e.g., X following), 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.

AI Tutor - Chinese