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 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 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 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 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 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.
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 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 native Urdu audio recordings into precise, time-aligned written transcripts for AI model 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 Romanian speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment to handle orthography, speaker attribution, and dialectal variations according to a specific style guide.
Convert native Slovak 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 Norwegian speakers into precise, time-aligned written transcripts following specific style guides. Apply expert linguistic judgment to handle dialects, disfluencies, and non-speech events to support AI model training.
Convert audio recordings of native Persian speakers into precise, time-aligned written transcripts for AI training. Apply linguistic judgment to handle orthography, speaker attribution, and non-speech events according to a specific style guide.
Convert audio recordings of native Tajik speakers into precise, time-aligned written transcripts for AI model training. Apply expert linguistic judgment to handle orthography, speaker attribution, and code-switching between Tajik and Russian.
Convert audio recordings of native Swahili 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 Kazakh speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment regarding orthography, code-switching, and non-speech events while adhering to a specific style guide.
Convert native Slovenian 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.
Convert native Hungarian audio recordings into precise, time-aligned written transcripts following a specific style guide. Apply expert linguistic judgment to handle orthography, speaker attribution, and non-speech events to support AI model training.
Convert native Macedonian audio recordings into precise, time-aligned written transcripts following a specific style guide. Apply expert linguistic judgment to handle orthography, code-switching, and non-speech events to support AI model training.
Convert audio recordings of native Icelandic 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 Latvian speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment regarding orthography, code-switching, and non-speech events according to a specific style guide.
Convert audio recordings of native Najdi 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 Moroccan Arabic speakers into precise, time-aligned written transcripts for AI training. Responsibilities include applying complex orthographic rules, identifying speakers, and managing disfluencies and code-switching.
Convert native Hindi audio recordings into precise, time-aligned written transcripts following specific style guides. This includes making expert linguistic decisions regarding orthography, code-switching, and non-speech events to support AI model training.
Convert native Emirati Arabic audio recordings into precise, time-aligned written transcripts for AI model training. Apply expert linguistic judgment to handle dialectal variations, code-switching, and non-speech events according to specific style guides.
Egypt, Philippines, United States2-5 yrs expWriting
The role involves building and managing Perle's social media presence from scratch across platforms like LinkedIn, X, Instagram, TikTok, and YouTube. The manager will create a content strategy and produce high-quality short-form videos to grow brand awareness and attract experts to the network.
Transcribe two-speaker audio recordings in Sinhalese with accurate speaker labels and timestamps. Ensure high-quality transcripts with a Word Error Rate of 5% or less.
Australia, Japan, Malaysia +3 more0-2 yrs expData Entry
Transcribe two-speaker Burmese audio recordings into clean, accurate transcripts with speaker labels and timestamps. Ensure all transcripts are sequential and meet a Word Error Rate of 5% or less.
Transcribe two-speaker audio recordings in Akan with accurate speaker labels and timestamps. Ensure high-quality, sequential transcripts with a Word Error Rate of 5% or less.
Dominica, Dominican Republic, France +1 more0-2 yrs expData Entry
Transcribe two-speaker audio recordings in Haitian Creole into clean, accurate, and sequentially ordered transcripts. Ensure all transcripts include correct speaker labels and timestamps while maintaining a low word error rate.
Transcribe two-speaker audio recordings in Oromo into clean, accurate, and sequentially ordered transcripts. Responsibilities include labeling speakers and adding precise timestamps to ensure high-quality deliverables.
Botswana, Namibia, South Africa +1 more0-2 yrs expData Entry
Transcribe two-speaker audio recordings in Tswana with accurate speaker labels and timestamps. Ensure high-quality transcripts with a Word Error Rate of 5% or less.
The transcriptionist will convert two-speaker Albanian audio recordings into clean, accurate, and sequentially ordered text. Responsibilities include labeling speakers and adding precise timestamps to each turn.
Wear a headstrap to record authentic, hands-free footage of everyday household tasks or professional trade activities. Submit the captured video through a dedicated app to help train AI and robotics.
Wear a headstrap to record authentic, first-person footage of daily household tasks or professional trade activities. Submit the recorded footage through a dedicated app to help train AI and robotics.
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 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 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.
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 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 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 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 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 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 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 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 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 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.
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.
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.