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 Role Summary:-Ensure exceptional data quality and integrity by performing final audits, validating received data, and driving continuous improvement in our annotation processes. 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 minutesTake-Home Session: 45 minutes-Peer Interview: 30 minutes Apply now to bring your data expertise to our dynamic team!
