Convert native Finnish audio recordings into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment to handle dialects, disfluencies, and non-speech events according to a specific style guide.
Perle
20 Remote Job Openings at Perle
Convert audio recordings of native Galician speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment to handle orthography, code-switching, and non-speech events according to specific style guides.
Convert audio recordings of native Galician speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment to handle orthography, code-switching, and non-speech events according to a specific style guide.
Convert audio recordings of native Danish speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment to handle orthography, code-switching, and non-speech events according to a specific style guide.
Convert audio recordings of native Bosnian speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment to handle orthography, speaker attribution, and non-speech events according to a specific style guide.
Convert native Croatian audio recordings into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment regarding orthography, dialects, and non-speech events according to a specific style guide.
Convert audio recordings of native Estonian speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment to handle orthography, speaker attribution, and non-speech events according to a specific style guide.
Convert audio recordings of native Afrikaans speakers into precise, time-aligned written transcripts for AI training. Apply linguistic judgment to handle orthography, code-switching, and non-speech events according to a specific style guide.
Convert Belarusian audio recordings into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment regarding orthography, speaker attribution, and non-speech events.
Convert native Hebrew audio recordings into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment to handle disfluencies, speaker attribution, and code-switching according to project style guides.
Convert Bulgarian audio recordings into precise, time-aligned written transcripts following specific style guides. Apply expert linguistic judgment to handle orthography, speaker attribution, and non-speech events for AI model training.
Convert Azerbaijani audio recordings into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment regarding orthography, speaker attribution, and non-speech events according to a specific style guide.
Convert audio recordings of native Cebuano speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment to handle orthography, code-switching, and non-speech events according to a specific style guide.
Convert Egyptian Arabic audio recordings into precise, time-aligned written transcripts for AI training. Apply linguistic judgment to handle orthography, code-switching, and non-speech events according to a specific style guide.
Convert audio recordings of native Hebrew speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment to handle orthography, code-switching, and non-speech events according to project style guides.
Convert audio recordings of native Greek speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment to handle orthography, speaker attribution, and non-speech events according to a specific style guide.
Contributors wear a headstrap camera to record authentic, first-person footage of their daily household routines or professional trade work. The captured video is used to train AI and robotics on how humans move and perform tasks.
Convert audio recordings of native Tagalog speakers into precise, time-aligned written transcripts for AI training. Apply linguistic judgment to handle dialects, slang, and code-switching while adhering to project-specific style guides.
The specialist will be responsible for accurately evaluating and annotating large volumes of text and audio data in Bahasa Indonesia for linguistic quality, accuracy, and cultural appropriateness. This includes identifying and categorizing various linguistic errors and ensuring data adheres to project-specific quality standards.
Selected researchers will evaluate advanced scientific reasoning produced by state-of-the-art AI systems, assessing multi-step derivations, proofs, and theoretical arguments. They must identify subtle conceptual flaws or logical inconsistencies and provide research-grade corrective feedback.
