Maki People

Science

AIScientist(Internship)

Paris, France INTERNSHIP Remote Friendly
The Brief

“AI Scientist (Internship) at Maki People. Skills: AI, psychometrics, LLMs, NLP, predictive analytics. Helping ensure Maki's automated scoring systems are scientifically sound and fair. Model evaluation — testing how accurately and reliably our LLMs score assessments across languages and skills”

What You'll Achieve.

driving exceptional outcomes for our clients; predict performance and potential with precision; optimize their workforce strategies

Industry & Context.

Science
Problems you'll solve

rigour

What They're Looking For.

Must Have

Studying towards or recently completed an MSc or PhD in Data Science, Psychometrics, Computational Linguistics, or Psychology, hands-on experience with LLMs — prompt engineering, evaluation, benchmarking, and understanding model behaviour, Familiarity with NLP techniques used in automated scoring and assessment, Comfortable with Python or R

Nice to Have

Some exposure to psychometric methods (IRT, CFA) is a plus

What You'll Do.

Helping ensure Maki's automated scoring systems are scientifically sound and fair

Model evaluation — testing how accurately and reliably our LLMs score assessments across languages and skills

Human-AI comparison — designing studies that compare AI scoring against expert human judgment

Bias & fairness — detecting and analysing potential biases across demographic groups and helping build fairer models

Predictive analytics — working with assessment data to understand what predicts job performance and retention

Model monitoring — investigating anomalies and tracking model performance over time

Research — translating findings into insights for non-technical stakeholders and contributing to publications

How You'll Work.

Team & Collaboration

Working closely with our COO, Paul-Louis Caylar; Collaborating with regulatory bodies and industry leaders; Equipping internal teams and clients with the knowledge and skills needed to understand and apply psychological and AI-driven insights effectively; Collaborating with internal teams

Communication Scope

communicate technical findings clearly; translating findings into insights for non-technical stakeholders; sharing insights through publications, presentations, and client reports

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