Remote AI training and data labeling jobs

Transcribe Spanish and English audio with precision, add metadata and contextual notes, and proofread for an AI training dataset. Native or near-native Spanish and professional transcription experience preferred. 15 openings, contractor, $20–36/hour.

Transcribe Italian audio, and English when required, edit transcripts for completeness, annotate data for AI training and flag unclear or low-quality recordings. Native Italian and professional transcription experience. 15 openings, contractor, $20–36/hour.

Judge Vietnamese audio clips, from human speakers and AI speech models, for tones, pronunciation and naturalness, and back each rating with a written English explanation. Native Vietnamese and B2+ English preferred. 100 openings, contractor, $30–65/hour.

Listen to Bengali audio clips and rate how native and fluent the speaker or AI model sounds, then justify each rating in written English. Native Bengali plus B2 English; no AI experience needed. 100 openings, contractor, $30–65/hour.

Native or near-native Telugu speakers transcribe audio and video, segment and label speech data, and proofread existing Telugu transcripts for an AI language data project, flagging dialect and cultural nuance. No AI experience needed. Ten openings, contractor, $10–24/hour.

Review AI-generated and human-written text for grammar, usage, meaning and instruction-following, then write short, objective feedback against detailed guidelines. Native U.S. English is required. Fifty openings, contractor, $40–50/hour, at least 20 hours a week on a four-week initial sprint.

Transcribe Mandarin and English audio verbatim, tag it to project guidelines and proofread the result, for an AI training dataset. Native Mandarin and professional transcription experience preferred. 15 openings, contractor, $20–36/hour, the higher-paying of micro1's two Mandarin transcription listings.

Rate short Dutch audio clips of AI-generated speech for nativeness, pronunciation and grammar, and write up what sounds wrong. Native Dutch with a feel for regional variation, plus B2 English. No AI experience needed. 100 openings, contractor, $30–65/hour.

Listen to Polish audio clips, from human speakers or AI speech models, and judge how native and fluent they sound, writing your justifications in English. Native Polish and B2+ English preferred. 100 openings, contractor, $30–65/hour.

Correct machine-generated French transcriptions, add metadata tags and detailed annotations, and catch the dialects and errors automated tools miss. Native French, transcription experience and professional-level English. 15 openings, contractor, $20–36/hour.

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.

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.

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.