Data Quality Specialist (AI Tutor)

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!