Remote AI training and data labeling jobs

Listen to 30–90 second field recordings and log what is really there (instruments, tempo, key, timestamped background sounds), compare the same song recorded in different places, and later grade AI descriptions of the clips. Three years of hands-on music or audio experience; 20–25 hours a week. $30–45/hour, ten openings.

Transcribe Hindi and English audio accurately, edit for quality, and annotate files with metadata and context notes for AI training. Native Hindi plus professional high-accuracy transcription experience. 15 openings, contractor, $20–36/hour.

Transcribe Korean and English audio precisely, proofread for errors, and annotate files with metadata for AI training. Native Korean and professional high-accuracy transcription experience. 15 openings, contractor, $20–36/hour, higher than micro1's older Korean transcription listing with the same scope.

Transcribe and annotate German audio for AI language technology, with speaker IDs, timestamps and QA checks. Native German with an ear for regional dialects. Ten openings, contractor, $10–22/hour: the same scope as micro1's newer German Language Expert listing at a lower band.

Judge Tamil audio clips, from human speakers and AI speech models, for how native and fluent they sound, and explain each judgment in written English. Native Tamil and B2+ English preferred. 100 openings, contractor, $30–65/hour, the best-paid of micro1's three Tamil listings.

Record scripted Tamil speech on professional equipment for an AI training dataset, with natural pronunciation and intonation, self-checked for quality. Three years of professional recording preferred; bring your gear to the interview. 25 openings, contractor, $10–30/hour.

Judge whether Hebrew speech, human or AI-generated, sounds genuinely native, and explain each rating in written English. Native Hebrew and B2 English; phonetics or voice work helps but no AI experience is needed. 100 openings, contractor, $30–65/hour.

Record and edit professional Thai speech audio for an AI training dataset, with accurate tones and minimal background noise, delivered to strict naming and format specs. Three years of recording and editing experience preferred; gear needed at interview. 25 openings, contractor, $10–30/hour.

Reconstruct exact musical scores from mixed audio, separating soprano, alto, tenor and bass lines out of a mono recording and converting the whole performance into MusicXML, using Python to inspect the audio along the way. No degree and no set number of years are required, only demonstrable skill. Global, remote, roughly 15 hours a week.