Portuguese Language Expert - Remote
Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listed on 2026-10-16
New York, New York County, New York, 10261, USA
Listing for:
YO AI Labs
Remote/Work from Home
position Listed on 2026-10-16
Job specializations:
-
Language/Bilingual
Data Annotation/ AI Labeling, English Speaking, AI Evaluation
Job Description & How to Apply Below
Portuguese Language Expert
Role Type: Contractor
Location: Remote
Job SummaryWe are looking for Portuguese Language Experts to support an AI training project focused on audio transcription and linguistic data. The role involves transcribing, reviewing, and annotating audio content to help improve AI systems.
No prior AI experience is required.
Key Responsibilities- Accurately transcribe and annotate audio recordings in Portuguese and, when required, English.
- Review diverse audio samples, including conversational and formal speech.
- Edit and validate transcripts for accuracy, clarity, and completeness.
- Identify and correct transcription errors, inconsistencies, and ambiguities.
- Follow project-specific transcription and annotation guidelines.
- Use transcription tools and platforms to complete and submit assignments.
- Provide linguistic and cultural insights to support AI model improvement.
- Maintain consistent quality across all deliverables.
- Native or near-native fluency in Portuguese.
- Strong spoken and written Portuguese skills.
- Experience in audio transcription or related language-focused work.
- Excellent attention to detail and accuracy.
- Proficiency in English for occasional English audio and project instructions.
- Familiarity with transcription tools and annotation practices.
- Ability to follow detailed guidelines and meet deadlines.
- Strong organizational and communication skills.
- Previous experience with AI training or linguistic data projects.
- Professional transcription experience or relevant portfolio.
- Understanding of transcription conventions and annotation standards.
- Ability to identify subtle linguistic and contextual differences.
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