Transcribe 2-speaker audio recordings in Ecuadorian Quechua by accurately typing speaker turns and applying timestamps. Ensure all transcripts are sequential, clean, and meet a strict word error rate threshold.
You will own the entire country operation, including recruiting contributors and signing up local businesses to record data. You are responsible for hiring and managing a field team, hitting growth targets, and ensuring high-quality data reporting.
You will own the entire country operation, including recruiting contributors and signing up local businesses to record data for AI training. You are responsible for hiring and managing a field team, hitting growth targets, and ensuring high-quality data reporting.
Engage in relaxed, natural English conversations on various topics to assist in training speech technology. Record audio sessions on a flexible schedule from a quiet environment.
The contributor will engage in relaxed, natural English conversations on various topics to help build speech technology. Recordings are to be completed on a flexible schedule using personal equipment.
Engage in relaxed, natural English conversations on various topics to assist in training speech technology. Record these conversations using a smartphone or computer while maintaining a flexible, self-managed schedule.
Record relaxed English conversations on a variety of non-personal topics, speaking naturally with your own accent. Complete recordings on a flexible schedule to support the development of inclusive speech technology.
Contributors will engage in relaxed, natural English conversations on various topics to help train speech technology. The role involves recording these conversations on a flexible schedule from a quiet environment.
Engage in relaxed, natural English conversations on various topics to assist in building speech technology. Record audio sessions on a flexible schedule from a quiet environment.
Engage in relaxed, natural English conversations on various topics to assist in building speech technology. Record these conversations using a smartphone or computer while following project terms.
The contributor will engage in relaxed, natural English conversations on various topics to help train speech technology. Recordings are to be completed on a flexible schedule from a quiet environment.
Transcribe 2-speaker audio recordings in Fulfulde by accurately typing out dialogue and labeling speakers. Ensure all transcripts include correct timestamps and meet a high quality standard with minimal word error rates.
Transcribe 2-speaker audio recordings in Runasimi (Quechua) by accurately typing out dialogue with speaker labels. Ensure all transcripts are sequentially ordered, include timestamps, and meet a high quality standard with a Word Error Rate of 5% or less.
Transcribe 2-speaker audio recordings in Afrikaans by accurately typing out dialogue and applying speaker labels. Ensure all transcripts are sequentially ordered with correct timestamps and meet a strict quality standard.
Record short videos of yourself following on-screen head movement paths to assist in computer vision research. Complete the application form and follow provided recording guidelines to qualify for ongoing tasks.
Record short videos of yourself performing simple head movements to trace on-screen paths. These videos are used to support computer vision research for an AI data platform.
Record short text scripts provided by the company using a mobile phone or computer. Ensure all recordings are performed in a quiet environment with clear articulation.
Transcribe 2-speaker audio recordings in Welsh by typing out full dialogue with speaker labels. Ensure all transcripts are accurate, sequentially ordered, and include timestamps at the start of each speaker turn.
Convert native Ukrainian audio recordings into precise, time-aligned written transcripts for AI model training. Apply expert linguistic judgment to handle dialects, disfluencies, and non-speech events according to a specific style guide.
Convert audio recordings of native Sa'idi Arabic 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 Libyan Arabic speakers into precise, time-aligned written transcripts for AI training. Responsibilities include applying specific style guides for speaker identification, disfluencies, and non-speech events while performing self-reviews.
Convert North Levantine Arabic audio recordings into precise, time-aligned written transcripts for AI training. Apply linguistic judgment to handle code-switching, disfluencies, and non-speech events according to a specific style guide.
Convert audio recordings of native Nahari Arabic speakers into precise, time-aligned written transcripts for AI training. This includes making expert linguistic decisions regarding orthography, speaker attribution, and non-speech events.
Convert Sudanese Arabic audio recordings into precise, time-aligned written transcripts for AI model training. Apply linguistic judgment to handle orthography, speaker attribution, and non-speech events according to a specific style guide.
Convert audio recordings of native Iraqi Arabic speakers 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 Tunisian Arabic speakers into precise, time-aligned written transcripts for AI training. Apply linguistic judgment to handle code-switching, disfluencies, and non-speech events according to a specific style guide.
Convert audio recordings of native Portuguese speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment regarding orthography, speaker attribution, and non-speech events according to specific style guides.
Convert audio recordings of native Portuguese speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment regarding orthography, speaker attribution, and disfluencies according to specific style guides.
Convert audio recordings of native Spanish speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment regarding orthography, speaker attribution, and dialectal nuances according to specific style guides.
Convert audio recordings of native Malay speakers into precise, time-aligned written transcripts for AI training. This includes making expert linguistic decisions regarding orthography, speaker attribution, and code-switching.
