The AI Tutor will specialize in multilingual audio capabilities, training and refining Grok for voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. The role involves curating and annotating high‑quality audio data, collaborating with technical staff to improve AI's handling of speech modulation, accent variation, noise, and multilingual processing, and enhancing annotation tools for efficient audio workflows.
AI Tutor - Polish at xAI
Remote - Remote
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USD 35 - 45/hour
Requirements
Skills
- Native proficiency in Polish
- Proficiency in English (minimum B2 level)
- Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages
- Demonstrated ability to handle multilingual audio content, evaluate 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
- Commitment to developing AI that masters sophisticated multilingual audio capabilities
- Exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work
- Deep understanding and taste of what good audio data is
- Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features
- Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience
- Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge of how data quality impacts model performance
- Professional experience in voice work, including voice acting, voice recording, podcasting, or similar audio production
- 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
- Professional experience in voice, linguistics, speech data, or speech evaluation and research
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, 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 toolsSpeech/audio datasetsVoice models
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