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Code Data Annotation Quality Specialist

External
Mistral AI logoMistral Ai ยท Paris, France
Full-timeHybrid2mo ago
Auditing
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Benefits

France๐Ÿ’ฐ Competitive cash salary and equity๐Ÿฅ• Food : Daily lunch vouchers๐ŸฅŽ Sport : Monthly contribution to a Gympass subscription๐Ÿšด Transportation : Monthly contribution to a mobility pass๐Ÿง‘โš•๏ธ Health : Full health insurance for you and your family๐Ÿผ Parental : Generous parental leave policy๐ŸŒŽ Visa sponsorshipUK๐Ÿš‘ Insurance๐Ÿšด Transportation: Reimburse office parking charges, or 90GBP/month for public transport๐ŸฅŽ Sport: 90GBP/month reimbursement for gym membership๐Ÿฅ• Meal voucher: ยฃ200 monthly allowance for its meals๐Ÿ’ฐ Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)By applying, you agree to our Applicant Privacy Policy.

Additional Information

About Mistral 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 SummaryWe'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.


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