$18/hr
The role in one line
You verify whether AI-generated Hindi transcriptions and audio alignments match what was actually spoken.
Written by Training Turk from the public listing; it may be incomplete or out of date. Read the full posting on Mercor.
What you would do
- Listen to recorded speech in Hindi and compare it against system-produced transcription text
- Identify errors in transcription - omissions, mishearings, word substitutions - and classify them using error codes
- Review word-level timing boundaries and confirm start and end points correspond to actual speech
- Write clear explanations for each pass or fail determination
- Tag all applicable errors in a single submission rather than reporting only the first one
Who they are looking for
- Native or near-native Hindi fluency as spoken in India (born and raised or 5+ years residence)
- Strong reading and writing ability in English for rulebook study and written feedback
- Ability to distinguish fine acoustic differences and isolate word boundaries in continuous speech
- Disciplined application of standards rather than intuition-based judgment
What the interview is likely to probe
1.Distinguishing transcription error from acoustic ambiguity
Unclear speech in audio can result from both genuine annotator mistakes and legitimately ambiguous sounds; this role requires making that distinction.
Expect something like: “A Hindi word at a phrase boundary sounds like it could be transcribed two different ways. How do you determine whether the annotator genuinely misheard or made a defensible choice?”
2.Applying multi-error tagging consistently
Incomplete error reporting leads to poor training data; reviewers must identify all applicable error codes per item.
Expect something like: “A transcribed phrase in Hindi contains both an omitted word and a substituted word. Do you report one error or both, and why?”
3.Setting word boundaries at phonetic transitions
Timing precision affects downstream audio models; margins matter, so reviewers must know where syllables truly start and end.
Expect something like: “In a Hindi word with a geminated consonant, does the word boundary fall at the first or second consonant? How do you document this choice?”
4.Prioritizing severity in written feedback
Readers must immediately understand why an audio segment failed; burying the critical issue defeats the purpose.
Expect something like: “An audio segment has three problems: minor timing drift, one skipped word, and speech quality degradation. Which do you emphasize first in your rationale?”
5.Maintaining consistency over hundreds of judgments
Drift in standards compromises the entire dataset; reviewers must apply criteria identically across batches.
Expect something like: “Midway through a batch you notice you've been more lenient on boundary precision than you were in earlier tasks. How do you recalibrate without re-reviewing everything?”
Exercise you may get
Review 5-8 audio-transcription pairs, tag all errors with codes, and write brief rationales; then peer-review another reviewer's scores and flag any inconsistent application of error codes.
How to prepare
- Familiarize yourself with Hindi phonetics, particularly consonant clusters and gemination
- Study the error taxonomy thoroughly so you can instantly recognize which codes apply to given mistakes
- Practice listening to naturalistic speech and identifying exact word boundaries in running conversation
- Review sample rationale texts to understand the depth and clarity expected in feedback
Facts
- Pay
- $18/hr
- Commitment
- hourly
- Hours
- 10 per week
- Work arrangement
- remote · Remote
- Posted
- 9/18/2026