Transcription Reviewer - Clinical Conversation Data
Mercor
$30/hour · as listed
Transcription Reviewer - Clinical Conversation Data
This remote role involves quality-checking transcripts of de-identified clinical phone calls that serve as reference data for AI speech recognition systems. You'll review work completed by transcribers who manually type calls from scratch with no machine assistance. Your primary responsibility is verifying accuracy—flagging errors, inconsistencies, and omissions to ensure the dataset meets strict quality standards. Attention to detail is essential, as precision directly impacts the performance of the speech recognition models trained on this data.
This intermediate-level position suits detail-oriented professionals comfortable with clinical terminology and audio review work. The role is fully remote and available at 10 hours per week, listed at $30/hour. No prior AI experience is required—just strong listening skills and the ability to maintain consistency across multiple transcripts.
From the listing: Mercor marketplace · hourly · 10h/week. ## Overview We are building a set of verbatim human transcripts from real, de-identified clinical phone calls, used as reference data for evaluating and improving speech recognition systems. Transcribers type each call from scratch, by ear, with no machine draft. You would review their work. Accuracy matters far more than speed on this project, and that applies to reviewers most of all. ## What
Applications are completed on the listing’s own site. Pay is shown as posted by the source (“as listed”) or the aggregator’s estimate where marked — offers and availability change, and individual results vary.
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