Role Title: Portuguese Transcription Expert

Role Type: Contractor

Location: Remote

micro1 is engaging Portuguese Transcription Experts to contribute to a customer's project focused on audio transcription and AI training. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

Transcribe and annotate audio recordings in Portuguese and, when needed, in English with a high level of accuracy.
Listen to and evaluate diverse types of audio samples, including conversational and formal speech, ensuring precise capture of content, context, and speaker nuances.
Review, edit, and validate transcripts for completeness, clarity, and adherence to project guidelines.
Identify and correct errors, inconsistencies, or ambiguities within transcriptions.
Collaborate with project managers and other experts to ensure consistency and quality across deliverables.
Utilize transcription tools and platforms to efficiently process and submit work as specified in project requirements.
Contribute linguistic and cultural insights to improve AI model understanding and performance.

Preferred Qualifications

Native-level fluency in Portuguese, with strong comprehension skills in both spoken and written language.
Demonstrated experience in professional-level audio transcription, preferably with a portfolio of relevant project work.
Familiarity with transcription conventions, annotation tools, and best practices for capturing audio data.
Keen attention to detail, accuracy, and the ability to recognize subtle language or context differences in audio samples.
Proficiency in English to manage occasional English audio content and follow project instructions.
Previous participation in linguistic data projects or tasks related to AI training data is a plus.
Strong organizational skills and commitment to delivering high-quality, timely submissions.