About Mistral
At
Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
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. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on
https://mistral.ai/careers.
Role Summary:
Ensure exceptional data quality and integrity by performing final audits, validating received data, and driving continuous improvement in our annotation processes.
Job Title: Data Quality Specialist (AI Tutor)
Location: Paris (possible remote work)
Duration: 6-month fixed-term contract
Reporting to: Data Annotation Technical Program Manager
Key Responsibilities:
- Data Auditing Validation: Conduct final quality audits before data integration into the reward model. Verify the quality of data received from providers and ensure adherence to guidelines.
- Accuracy Consistency: Check the accuracy of answers, appropriateness of comments, and overall usefulness of data.
- Beta Testing Project Development: Participate in beta testing and contribute to project development initiatives.
Error Correction: Scrutinize and rectify any data inaccuracies, maintaining the highest standard of data accuracy.
- Guideline Compliance: Ensure annotation teams follow established guidelines and provide feedback as necessary.
- Process Optimization: Identify and recommend opportunities to improve data quality and model performance.
- Cross-Functional Collaboration: Communicate effectively and provide feedback to team members across different functions.
- Detail-Oriented Tasks: Maintain meticulous attention to detail while performing repetitive and precise tasks.
- Project Leadership: Lead prompt evaluation tasks, including creating task guidelines, FAQs, and addressing questions from the annotator team.
Qualifications Profile:
- Education Experience: Relevant academic background and proven experience in data annotation and using annotation tools.
- Language Skills: Expert reading and writing skills, with the ability to pass a written test. Multilingual capabilities are an asset.
- Attention to Detail: Strong commitment to accuracy and a high tolerance for repetitive tasks.
- Independent Worker: Ability to follow complex instructions, navigate ambiguity, and work independently.
- Time Management: Superb sense of urgency and excellent time management skills.
- Process-Driven Organized: Rigorous, process-driven, and well-structured approach to work.
Now, it would be ideal if you have :
- Previous hands-on experience as a data annotator.
- Fluency in multiple languages.
Hiring Process:
- Hiring Manager Call: 20 minutes
- Take-Home Session: 45 minutes
- Peer Interview: 30 minutes
Apply now to bring your data expertise to our dynamic team!
Originally posted on Himalayas
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