Code Data Annotation Quality Specialist
연구원정규직— · 경력 무관Paris, London하이브리드
Data AnnotationCode ReviewQuality Assurance
Mistral AI는 코드 데이터 주석 품질 전문가를 채용합니다. 주요 업무는 코드 주석 검수 및 내부 툴링 유지보수입니다. 데이터 품질 관리 역량과 코드 분석 능력이 필수적이며, AI 모델 학습을 위한 고품질 데이터셋 구축에 기여하게 됩니다. 하이브리드 근무 환경에서 엔지니어링 팀과 긴밀히 협업할 인재를 찾습니다.
At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia.
We are creative, low-ego and team-spirited.At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit.
Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI.
**Role Summary
**We’re seeking highly motivated Data Quality Specialists with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation.
This is a hybrid quality reviewing and tooling role: you'll spend the majority of your time reviewing and auditing code annotations against rubrics to ensure data used for training and evaluating AI models meets a high bar, and the remainder building, maintaining, and troubleshooting the internal tooling that annotators rely on day-to-day.
You'll collaborate closely with the annotators, technical program manager, and engineer stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced.