About the Opportunity
A fast-scaling AI voice technology firm operating in the speech AI and conversational AI space, we build and validate high-accuracy Automatic Speech Recognition (ASR) models for global enterprises. Our team ensures transcription quality for multilingual, real-world audio across domains---from customer service to media---using rigorous QA frameworks and proprietary tools to drive model improvement.
Role \& Responsibilities
- Validate ASR output against ground-truth transcripts across multiple Indian languages and accents.
- Identify and categorize transcription errors (word substitution, omission, punctuation, timing) using standardized QA rubrics.
- Flag non-compliant, offensive, or biased content in transcribed audio for model sanitization.
- Test model performance across diverse audio environments---background noise, overlapping speech, low fidelity.
- Collaborate with ASR engineers to provide feedback that drives model retraining and accuracy uplift.
- Document QA metrics, trend insights, and edge-case patterns for process improvement.
Skills \& Qualifications
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Must-Have
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ASR QA
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Transcription Validation
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Audio Quality Assessment
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Multilingual Linguistics (Indian languages)
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Speech Error Categorization
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QA Rubric Compliance
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Native-level fluency in at least 2 Indian languages
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Microsoft Excel
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Preferred
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Experience with speech datasets (Common Voice, LibriSpeech, etc.)
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Familiarity with NLP annotation tools (Prodigy, Label Studio)
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Basic understanding of speech-to-text model architectures
Benefits \& Culture Highlights
- 100% remote work with flexible hours aligned to IST.
- Impactful role in shaping next-gen voice AI for global markets.
- Short-term contract with potential for extension based on performance.
