Maki People
Science
Psychometrician(Internship)
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optimal for Entry candidates.
“Psychometrician (Internship) at Maki People. Skills: Psychometrics, AI, ML, LLMs, assessment design, assessment validation. Building and validating psychometric assessments designed for AI integration. Running analyses on item quality, fairness, reliability, and scoring accuracy”
What You'll Achieve.
shaping the future of hiring through innovation, rigour, and collaboration; driving the development of high-quality content that sets our platform apart; ensure fairness, accuracy, and transparency; build reliable, valid, and impactful assessments; predict performance and potential with precision; optimise their workforce strategies, from talent acquisition to development and retention; driving exceptional outcomes for our clients
Industry & Context.
Evaluating and refining AI-driven scoring algorithms and large language models (LLMs) to ensure fairness, accuracy, and transparency.; Developing tools that analyse candidate and job data to predict performance and potential with precision.
What They're Looking For.
Must Have
Studying towards or recently completed an MSc or PhD in Psychometrics, Data Science, Psychology, or a related field, Solid grounding in psychometric methods (IRT, CFA, CTT, SEM), Comfortable with R or Python and statistical software (SPSS, Mplus, or similar), research and writing skills
Nice to Have
Some experience with AI/ML or LLMs in an assessment context is a plus
What You'll Do.
Building and validating psychometric assessments designed for AI integration
Running analyses on item quality
Helping develop and refine automated scoring algorithms
Exploring how LLMs can be used to generate and evaluate assessment content
Translating findings into clear insights for clients and internal teams
Contributing to research reports and potentially academic publications
How You'll Work.
Team & Collaboration
working closely with our COO; work across teams
Communication Scope
Translating findings into clear insights for clients and internal teams; explain technical findings to non-technical audiences
Full Job Description
ABOUT THE SCIENCE TEAM At the heart of Maki People, the Science team is shaping the future of hiring through innovation, rigour, and collaboration. Led by our Head of Science, Aiden Loe, and working closely with our COO, Paul-Louis Caylar, this team drives the development of high-quality content that sets our platform apart. We don’t just create and validate assessments—we innovate. Our work spans: - Expanding a cutting-edge library of tests and tools. - Designing bespoke activities and experiences for clients. - Evaluating and refining AI-driven scoring algorithms and large language models (LLMs) to ensure fairness, accuracy, and transparency. - Leveraging psychometric expertise to build reliable, valid, and impactful assessments. - Developing tools that analyse candidate and job data to predict performance and potential with precision. - Supporting clients in using assessment data to optimise their workforce strategies, from talent acquisition to development and retention. - Leading original studies to explore emerging psychological and technological trends and sharing insights through publications, presentations, and client reports. - Collaborating with regulatory bodies and industry leaders to establish new standards in ethical AI use and hiring practices. - Equipping internal teams and clients with the knowledge and skills needed to understand and apply psychological and AI-driven insights effectively. As Maki continues to grow, the Science team is central to understanding user experiences, refining assessments, and driving broader adoption—all while upholding the highest scientific standards. Your impact as a psychometrician intern will go beyond day-to-day responsibilities— you’ll be a key partner in shaping the future of recruitment while driving exceptional outcomes for our clients. PSYCHOMETRICS & AI ASSESSMENT INTERN About the Role You'll help design, validate, and improve AI-powered assessments, working at the crossover between psychometrics and machine
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