Job Title: Bilingual AI Specialist in Healthcare Domain Location: India (remote) About the Role We are looking for highly motivated Bilingual AI Specialists with a strong 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 1 to 4 years of 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 Why Join Us? Be part of innovative, meaningful AI healthcare projects Work in a flexible, global, and collaborative environment Help shape technologies that support real-world clinical impact
