[Hiring] Conversational AI Reviewer @Tucuvi Care SL
Role Description
As a Conversational AI Reviewer (part-time, 24h/week), you will play a key role in reviewing, analyzing, and improving our AI-patient interactions, primarily with Portuguese calls while also supporting Spanish and English. This is a fully remote position, with a schedule distributed from Monday to Saturday.
Your mission will be to ensure that Tucuvi’s Clinical AI is accurate, safe, and constantly improving, so that every patient interaction reflects real-world clinical practice. You will work at the intersection of Product, Conversational Design, and clinical quality, making sure that every AI–patient conversation meets rigorous standards while feeding insights directly back into the system to improve what we build next.
This role combines three key dimensions:
• Hands-on conversation analysis and review:
Review, analyze, and refine AI–patient phone calls—primarily in Portuguese, but also in Spanish and English—ensuring quality, clinical accuracy, and compliance with medical protocols and privacy regulations.
• Collaboration with design and product teams:
Work closely with Conversational Designers to define and implement best practices, assess recurring issues, and support the ongoing improvement of AI-driven clinical interactions.
• Performance tracking and continuous improvement:
Monitor AI performance, report actionable insights, and help enhance the AI’s natural language processing capabilities, directly contributing to a better patient experience and more reliable clinical outcomes.
Responsibilities
• Review, analyze and correct AI-patient phone conversations to ensure quality and compliance with medical protocols in a timely manner.
• Support Conversational Designers to develop best practices for AI-driven clinical conversations.
• Assess and understand the accuracy and clinical appropriateness of AI responses to notify recurrent bugs.
• Track and report on AI system performance in patient management and clinical support.
• Support ongoing improvements to the AI's natural language processing capabilities.
Qualifications
• Excellent verbal and written communication skills of the language of LOLA’s patient phone calls.
• Native or near-native Portuguese is a must, with high proficiency in English and Spanish.
• Strong analytical skills to understand patterns and provide feedback.
• Understanding of patient privacy laws and data protection regulations (e.g., HIPAA, GDPR).
• Ability to work effectively in a fast-paced, innovative environment with evolving technologies.
Requirements
• Availability to work primarily during the morning shift (4 hours/day, between 10:00 and 14:00 CET), ensuring coverage when the volume of patient calls is highest.
• Computational Linguistic Degree, Conversational Designer course, UX Researcher or similar will be a plus.
• Knowledge of medical terminology, healthcare regulations, life sciences, or a related field is a plus.
• Familiarity with AI, NLP or machine learning technologies will be a plus.
Benefits
• Fix and variable salary. Flexible benefits through Cobee (ticket restaurant, transport, nursery...).
• Remote work in an async environment.
• Flexible working hours.
• Teambuildings (at least two per year).
• ️ 23 days per year + your birthday + 6 local and regional holidays added to your calendar.
• Budget for training and personal development.
• A laptop (Mac) + the equipment that you need (screen...).
• The possibility to join a team of good and ambitious people where you can create a real impact on people's lives.
As a Conversational AI Reviewer (part-time, 24h/week), you will play a key role in reviewing, analyzing, and improving our AI-patient interactions, primarily with Portuguese calls while also supporting Spanish and English. This is a fully remote position, with a schedule distributed from Monday to Saturday.
Your mission will be to ensure that Tucuvi’s Clinical AI is accurate, safe, and constantly improving, so that every patient interaction reflects real-world clinical practice. You will work at the intersection of Product, Conversational Design, and clinical quality, making sure that every AI–patient conversation meets rigorous standards while feeding insights directly back into the system to improve what we build next.
This role combines three key dimensions:
• Hands-on conversation analysis and review:
Review, analyze, and refine AI–patient phone calls—primarily in Portuguese, but also in Spanish and English—ensuring quality, clinical accuracy, and compliance with medical protocols and privacy regulations.
• Collaboration with design and product teams:
Work closely with Conversational Designers to define and implement best practices, assess recurring issues, and support the ongoing improvement of AI-driven clinical interactions.
• Performance tracking and continuous improvement:
Monitor AI performance, report actionable insights, and help enhance the AI’s natural language processing capabilities, directly contributing to a better patient experience and more reliable clinical outcomes.
Responsibilities
• Review, analyze and correct AI-patient phone conversations to ensure quality and compliance with medical protocols in a timely manner.
• Support Conversational Designers to develop best practices for AI-driven clinical conversations.
• Assess and understand the accuracy and clinical appropriateness of AI responses to notify recurrent bugs.
• Track and report on AI system performance in patient management and clinical support.
• Support ongoing improvements to the AI's natural language processing capabilities.
Qualifications
• Excellent verbal and written communication skills of the language of LOLA’s patient phone calls.
• Native or near-native Portuguese is a must, with high proficiency in English and Spanish.
• Strong analytical skills to understand patterns and provide feedback.
• Understanding of patient privacy laws and data protection regulations (e.g., HIPAA, GDPR).
• Ability to work effectively in a fast-paced, innovative environment with evolving technologies.
Requirements
• Availability to work primarily during the morning shift (4 hours/day, between 10:00 and 14:00 CET), ensuring coverage when the volume of patient calls is highest.
• Computational Linguistic Degree, Conversational Designer course, UX Researcher or similar will be a plus.
• Knowledge of medical terminology, healthcare regulations, life sciences, or a related field is a plus.
• Familiarity with AI, NLP or machine learning technologies will be a plus.
Benefits
• Fix and variable salary. Flexible benefits through Cobee (ticket restaurant, transport, nursery...).
• Remote work in an async environment.
• Flexible working hours.
• Teambuildings (at least two per year).
• ️ 23 days per year + your birthday + 6 local and regional holidays added to your calendar.
• Budget for training and personal development.
• A laptop (Mac) + the equipment that you need (screen...).
• The possibility to join a team of good and ambitious people where you can create a real impact on people's lives.