Data Quality Specialist - AI Tutor

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April 27

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Mistral AI

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Fast, open-source and secure language models. Facilitated specialisation of models on business use-cases, leveraging private data and usage feedback.

11 - 50 employees

📋 Description

•Ensure exceptional data quality and integrity by performing final audits, validating received data, and driving continuous improvement in our annotation processes. •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.

🎯 Requirements

•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.