Audio Transcription Specialist with medical background (Portuguese (BR regional
TSMG · Brazil
Health Tech
Remote
physician
Nurse
Pharmacist
Demand55
Career growth32
Healthcare fit52
Remote potential100
5-year outlook
Likely modest project-based or piece-rate supplemental income rather than a stable salaried career path. Long-term earnings depend on continued AI data contracts and demand for Portuguese-language medical transcription/annotation.
Clinical license
Not required
Applicant reach
narrow
Seniority
entry
Employment type
–
Date found
2026-11-08
Intelligence details
Flexible work details
- Side income
- Classified as side-income friendly
- Engagement type
- Contract
- Hours
- Variable hours
- Profession fit
- physician, Nurse, Pharmacist
- Rate period
- Annual
Why this was classified this way
- Contractor
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering only as flexible supplemental work if you are a Portuguese-speaking clinician interested in AI data projects. It is not a strong standalone career transition or reliable primary income source.
Who should apply
Portuguese-speaking doctors, nurses, pharmacists, IMGs, or healthcare graduates with strong medical terminology, typing accuracy, and an interest in AI training, transcription, or LLM annotation side work.
CV angle
Frame clinical training and practice as evidence of medical terminology fluency, documentation accuracy, confidentiality, and attention to detail. Highlight any real experience with medical records, transcription, data annotation, quality review, Portuguese-English communication, or AI/LLM projects without overstating non-clinical experience.
Skills to highlight
- Medical terminology
- Portuguese (Brazil) language proficiency
- English communication
- Audio transcription
- LLM annotation
- Attention to detail
- Confidentiality and data handling
- Typing accuracy
Role summary
A remote, flexible transcription and AI-training project for Portuguese-speaking people with medical backgrounds. Participants transcribe recorded conversations, follow formatting guidelines, correct errors, and help improve speech recognition and conversational AI systems.
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