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

Posted 22 Days Ago
Be an Early Applicant
Hiring Remotely in 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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