Description review

Clinical Audio Transcriber - Expert

mercor · United Kingdom · back to the listing

HR standards

88/100

strong

Title ↔ description

66/100

needs work

Reads as

Unclear

no confident match

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Audio Transcriber - Clinical Conversation Data
Type:Contract
Compensation:$30/hour
Location:Remote

Role Responsibilities

• Evaluate machine-generated draft transcripts against audio segments of 30 to 45 seconds.

• Correct transcripts for accuracy, focusing on critical words that impact meaning.

• Apply transcription specifications precisely, including verbatim capture and speaker labels.

• Ensure word-level timing accuracy and tag vocal artifacts like laughter and crosstalk.

• Flag uncertain medical terms for review by clinical specialists.

Qualifications

Must-Have

• Native or near-native English listening comprehension.

• Comfort with detailed specifications and consistent formatting.

• A quiet working environment and over-ear headphones.

Preferred

• Prior experience in transcription, captioning, subtitling, or audio annotation.

• Familiarity with medical terminology.

Application Process (Takes 20–30 mins to complete)

• Upload resume

• AI interview based on your resume

• Submit form

Resources & Support

• For details about the interview process and platform information, please check:

• For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 0 points (from 88 before penalties). Reviewed 21 Sep 2026.