Data Annotation Project Manager (x/f/m)

At Doctolib, we are on a mission to improve healthcare delivery and patient experience through innovative technology. Our machine learning models are at the heart of this effort, helping to deliver intelligent features that empower healthcare professionals and enhance patient care. What you’ll do: We are seeking a skilled Data Annotation Project Manager fluent in German and French to lead large-scale data annotation projects, providing high-quality annotated datasets that support the continuous improvement of our AI-driven products. The ideal candidate will have experience managing data annotation projects, a strong background in conversational AI or similar fields, and familiarity with medical terminology.Your responsibilities include but are not limited to: Collaborate with the Technical Program Manager - Data Labeling to define project scope, timelines, and quality goals. Manage the day-to-day coordination of annotation projects, ensuring deadlines are met and quality standards are maintained. Work closely with German and French annotators, including medical students and professionals, to ensure annotations are accurate and contextually relevant, particularly for medical data. Monitor the progress of annotation tasks and provide feedback to annotators to ensure consistency and accuracy. Track key performance metrics for annotation quality, ensuring that annotation goals and project timelines are met. Provide input and feedback to the Technical Program Manager - Data Labeling to help improve workflows and optimize the annotation process, though you will not be directly responsible for process development. Who you are:Are you convinced that you have exactly what it takes for the position? Then we encourage you to apply. Even if you don't meet every requirement, you might be exactly the right future Doctoliber for this or other positions! Fluency in German and French (both spoken and written) is required. Proven experience in project management within data annotation or linguistic annotation projects (e.g., conversational AI, NLP, or similar fields). Strong organisational skills with the ability to manage multiple projects simultaneously and meet deadlines. Excellent communication skills to liaise with annotators and the program manager, providing feedback and ensuring clarity in the annotation tasks. A detail-oriented mindset with a focus on maintaining accuracy and quality. Familiarity with annotation tools and QA processes. Familiarity with medical terminology and experience working on medical data annotation projects is a plus. What we offer: Employee share plan for every Doctoliber. Additional health plan scheme with our partner Allianz (Germany) or Free health insurance for you and your family (France). Minimum 28 days of paid leave. Parental care program (1 month off in addition to the legal parental leave and 0.5 days off per child when the school starts). Wellbeing program (free mental health and coaching offer with our partner moka.care). For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support. A flexible workplace policy offering both hybrid and office-based mode. Flexibility days allowing to work in EU countries and the UK 10 days per year. The interview process: Recruiter Interview with Maxime, product and AI enthusiast. Know your future manager interview with Biljana. The live-case or home assignment. Reference check. Offer! If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles! At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact [email protected] for inquiries or to exercise your rights. #J-18808-Ljbffr