Applied Speech AI Engineer at Turing

Applied Speech AI Engineer | Contractor | Fully Remote | 12-Week Engagement

Turing is seeking an experienced Applied Speech AI Engineer / Audio AI Specialist to help build and scale a large-scale multilingual conversational audio data platform. This role sits at the intersection of speech AI, audio quality engineering, ASR systems, speaker diarization, and data operations — ideal for someone passionate about real-world audio challenges at scale.

About Turing

Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing accelerates frontier research with high-quality data, advanced training pipelines, and top AI researchers specializing in coding, reasoning, STEM, multilinguality, multimodality, and agents.

Key Responsibilities

• Define audio quality standards for conversational recordings, including SNR, clipping, noise, echo, reverb, and speaker overlap.
• Build automated audio quality checks for large-scale remote audio collection pipelines.
• Evaluate and benchmark 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 including WER, CER, confidence scores, and speaker accuracy.
• Support the creation of benchmark datasets and multilingual conversational speech corpora.

Required Skills

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

Engagement Details

• Type: Contractor / Freelancer (no medical or paid leave benefits)
• Duration: 12 weeks
• Commitment: Minimum 40 hours/week with at least 4 hours daily overlap with PST
• Environment: Fully remote

Why Work With Turing?

• Collaborate on cutting-edge AI projects with leading LLM companies.
• Fully remote, flexible work environment.
• Potential for contract extension based on performance and project needs.

Shortlisted candidates will be reviewed internally and contacted directly for onboarding.