Record natural two-speaker conversations from provided scripts to train AI speech models. Ensure all audio files meet specific technical requirements regarding sample rate and noise levels.
Perle
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Record natural two-speaker conversations from provided scripts to train AI speech models. Ensure all audio files meet specific technical requirements regarding sample rate, length, and clarity.
Record natural two-speaker conversations from provided scripts to train AI speech models. Ensure all audio files meet specific technical requirements regarding sample rate and length.
Record natural two-speaker conversations from provided scripts to train AI speech models. Ensure all audio meets technical specifications regarding sample rate and background noise.
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 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 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 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 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 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 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 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 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 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 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.
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 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 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 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 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 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.
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 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 Sinhalese with accurate speaker labels and timestamps. Ensure high-quality transcripts with a Word Error Rate of 5% or less.
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.
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.
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 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 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 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 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 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 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 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 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 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 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 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.
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.