AI Accent Adaptation Fine-tuning Engineer

About the role

Responsibilities

• Build accent-specific fine-tuning pipelines for ASR models targeting underrepresented accent groups
• Curate and augment accent-specific training data from available sources and synthetic generation
• Design evaluation benchmarks measuring WER per accent group across production model versions
• Implement data augmentation strategies to improve coverage for low-resource accent groups
• Analyze error patterns to identify phonetic features driving degraded accuracy per accent
• Validate fine-tuned models against holdout accent data before production deployment

Requirements

• 3+ years in speech processing, NLP, or audio ML engineering
• Hands-on experience fine-tuning ASR or TTS models with HuggingFace or similar
• Understanding of phonetics, accent variation, and low-resource learning challenges
• Strong Python and PyTorch skills with audio data processing experience
• Familiarity with WER evaluation and audio dataset management

Benefits

• Fully remote with flexible schedule
• Health and dental insurance
• $2,500 annual professional development budget
• 401(k) with match
• Opportunity to shape linguistic equity in voice AI

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