Description:Job Title: Medical Transcribers ( Bilingual Specialist – Healthcare Domain )
Location: Remote
Weekly: min. 20 Hrs / Week.
About the Role
We are looking for highly motivated Individuals to work as Medical Transcribers must have a healthcare background to join our growing AI and data annotation team. In this role, you will support the development of AI-driven healthcare solutions by providing language expertise, domain-specific insights, and high-quality annotations of medical data. Your work will play a key role in training natural language processing (NLP) and speech recognition models to deliver accurate and clinically relevant outputs in multiple languages.
Key Responsibilities
- Transcribe, annotate, and review medical text and audio data to support AI model development
- Ensure transcription accuracy and maintain medical terminology integrity across languages
- Provide linguistic and medical domain expertise for NLP and voice recognition projects
- Collaborate with data scientists, engineers, and linguists to improve model performance
- Validate and refine AI-generated outputs for clinical use cases
- Ensure consistency and accuracy of multilingual medical terms and phrases
- Contribute to the creation and refinement of annotation guidelines and taxonomies
- Maintain compliance with data privacy regulations, including HIPAA
Qualifications
- Bachelor’s degree or higher in Medicine, Nursing, Pharmacy, Biomedical Sciences, Health Informatics, or a related field
- Working experience in healthcare or clinical settings is preferred but not required
- Hands-on experience with transcription, data annotation, or working on AI/NLP-related projects is a big plus
- Fluency in English and one or more of the following languages: French, Russian, Mandarin, Korean, Cantonese, Arabic, Portuguese, Vietnamese, German, or Italian—with excellent verbal and written communication skills in both
- Strong cultural understanding and language proficiency relevant to the target language(s)
- Solid knowledge of healthcare practices and systems in the respective language markets is required
- Familiarity with EMR/EHR systems, clinical documentation workflows, and coding standards such as ICD/CPT is highly desirable
- Comfortable using data annotation tools, transcription platforms, and project management software
- Highly detail-oriented with strong analytical thinking and effective communication skills
Preferred Skills
- Experience with medical speech-to-text systems or virtual scribes
- Familiarity with SNOMED CT, HL7, LOINC, or other standardized clinical vocabularies
- Background in medical chatbots, automated transcription, or AI-driven diagnostic tools
- Ability to transcribe and interpret complex, nuanced medical conversations