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AI Quality Apprenticeship

Join our AI Quality Apprenticeship program, a 1-year opportunity for final year students or equivalent. Your mission will involve investigating and understanding errors in AI workflows, building scripts or small tools to monitor and communicate model issues, collaborating with developers and data scientists, and contributing ideas to enhance ESG information extraction. You will receive dedicated mentorship, access to internal tools and data, and regular feedback to accelerate your learning. Ideal candidates should have a strong interest in AI, basic knowledge of scripting or data handling, and be comfortable communicating in English.

Suggested summary by Welcome to the Jungle

Work study(12 months)
Paris
A few days at home
Salary: Not specified
Starting date: August 31, 2025
Key missions

Investigate and understand errors in AI workflows to help improve accuracy and reliability.

Build scripts or small tools to monitor, detect, and communicate model issues to the team.

Collaborate closely with developers and data scientists to improve workflows and deliver production-ready solutions.

APIDAY
APIDAY

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Questions and answers about the job

The position

Job description

This is a 1-year apprenticeship aimed at students in their final year of study or equivalent.

Your mission:

  • Investigate and understand errors in AI workflows to help improve accuracy and reliability.

  • Build scripts or small tools to monitor, detect, and communicate model issues to the team.

  • Collaborate closely with developers and data scientists to improve workflows and deliver production-ready solutions.

  • Contribute ideas and solutions to enhance the extraction of ESG information from documents.

Your means to success:

  • Dedicated mentorship from both developers and data scientists.

  • Access to internal tools, data, and technical expertise to strengthen your skills.

  • Regular feedback and collaborative team sessions to accelerate your learning curve.


Preferred experience

Desired profile:

Prerequisites:

  • Strong interest in AI, data quality, and document analysis.

  • Basic knowledge of scripting or data handling (Python preferred).

  • Comfortable communicating in English on a daily basis.

Key qualities:

  • Autonomous and proactive: Able to take initiative and explore solutions independently.

  • Curious and analytical: Eager to understand how AI models work and where they can improve.

  • Collaborative: Enjoys working closely with developers and data scientists in a team-oriented environment.


Recruitment process

  • Screening call – 30 min
    A first conversation to better understand your background and expectations, and to introduce the role and the team.

  • Take-home technical test – 1 hr
    A short exercise you can complete on your own time. The goal is to understand how you think and solve problems.

  • Test review – 45 min
    A debrief to discuss your approach, your choices, and give you the opportunity to ask questions.

  • Final chat with Charles or Edouard (co-founder) (30 min)

    A quick conversation to align on the bigger picture and give you a sense of the company vision and culture.

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