AI Tutor - Igbo at xAI

Skills

• Native proficiency in Igbo 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
• Demonstrated ability to translate and localize text accurately between English and Igbo, preserving meaning, tone, and cultural nuance
• 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 (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
• Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text
• 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 of voice samples, annotated transcripts, or audio-related work is strongly preferred
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged