Data Quality Specialist, AI Tutor - Paris (Fixed term)

Posted 5 Days Ago
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Hiring Remotely in Paris, Île-de-France
Remote
Entry level
Artificial Intelligence
The Role
The Data Quality Specialist will ensure data integrity through audits, validate incoming data, optimize annotation processes, lead prompt evaluations, and collaborate cross-functionally. The role requires meticulous attention to detail and a commitment to process-driven work.
Summary Generated by Built In

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!

The Company
HQ: Paris
92 Employees
On-site Workplace
Year Founded: 2023

What We Do

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

Built from a world-class team in Europe, targeting global market. Join the team ! https://jobs.lever.co/mistral/

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