Speech AI Engineer for Audio Data Platforms

This role focuses on building and scaling a large-scale multilingual conversational audio data platform, integrating speech AI, audio quality engineering, ASR systems, diarization, and data operations. The ideal candidate will leverage their expertise to enhance audio data collection and transcription workflows, ensuring high-quality outputs in diverse environments.

Key Responsibilities

• Define audio quality standards for conversational recordings, including SNR, clipping, noise, echo, reverb, and overlap.
• Build automated audio quality checks for large-scale remote audio collection.
• Evaluate ASR systems such as Whisper, Deepgram, AssemblyAI, Speechmatics, and GPT-4o transcription.
• Improve transcription accuracy across languages, accents, noisy environments, and multi-speaker conversations.
• Design diarization pipelines for speaker segmentation, attribution, overlap handling, and transcript alignment.
• Develop scalable workflows for audio ingestion, transcription, human correction, QA, and delivery.
• Define quality metrics for ASR, diarization, and datasets, including WER, CER, confidence scores, and speaker accuracy.
• Support creation of benchmark datasets and multilingual conversational speech corpora.

Required Skills

• 3, 8 years of experience in speech/audio AI systems.
• Strong understanding of ASR systems, speaker diarization, conversational audio processing, and multilingual speech systems.
• Experience working with noisy real-world audio data.
• Strong knowledge of SNR, clipping, codecs, sample rates, and audio preprocessing techniques.
• Hands-on experience with Python and audio processing libraries.
• Familiarity with conversational speech datasets and evaluation metrics.

Work Terms

• Commitments Required: at least 4 hours per day and a minimum of 40 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor assignment/freelancer (no medical/paid leave).
• Duration of contract: 12 weeks.

Compensation

• Competitive compensation based on experience and project requirements.

Eligibility

• Remote work opportunity.
• Potential for contract extension based on performance and project needs.