ASR & Transcription QA Specialist ( transcription & captioning)

About The Opportunity

A fast-paced, innovation-driven company in the AI-enabled media & accessibility tech space, we specialize in high-accuracy speech-to-text solutions for global broadcast, edtech, and enterprise content platforms. We're building next-gen transcription and captioning workflows powered by cutting-edge ASR systems—where precision, speed, and linguistic nuance meet at scale. Remote-first, globally distributed, and obsessed with quality, we're looking for detail-oriented QA minds to ensure every word we deliver is clean, accurate, and contextually perfect.

Role & Responsibilities

• Perform end-to-end quality assurance on ASR-generated transcripts and timed captions across multiple languages and dialects.
• Identify and document transcription errors—omissions, misrecognitions, punctuation, speaker labeling, and timing drift.
• Annotate, tag, and flag low-confidence segments for model retraining or human intervention.
• Collaborate with engineering and linguistics teams to refine ASR performance based on QA feedback loops.
• Maintain QA scorecards and KPI dashboards to track accuracy, turnaround time, and client-specific thresholds.
• Contribute to QA playbook development—defining edge cases, style guides, and domain-specific rules (legal, medical, technical).
  
  

Skills & Qualifications

Must-Have

• ASR QA
• Transcription Quality Assurance
• Speech-to-Text Validation
• Timecode Alignment
• Audio-Text Synchronization
• Microsoft Excel (for QA reporting)
• Google Docs / Sheets (for collaborative annotation)
• Basic familiarity with media players (VLC, QuickTime, Auphonic)
  
  

Preferred

• Experience with Captioning Standards (CEA-608/708, SMPTE-TT)
• Linguistic or NLP background (especially phonetics or dialect mapping)
• Familiarity with ASR platforms (Whisper, Google Speech-to-Text, Azure Speech)
  
  

Benefits & Culture Highlights

• 100% remote with flexible hours—work from anywhere in India.
• Impact-driven culture: Your QA work directly improves AI model accuracy for millions of users.
• Opportunities to grow into ASR training, linguistics, or product roles within the AI media stack.
  
  

Skills: accessibility,transcription,linguistics,platforms,google,edge,azure,quality assurance,speech,annotation