About Us We’re building an AI-driven hiring platform designed to transform how organizations evaluate talent. Our product delivers real-time candidate insights, identifies skill gaps, and recommends development pathways - while enabling recruiters to efficiently identify top performers through data-driven decision-making.
About the Role We’re looking for a Psychometrician to join us as a part-time, ongoing consultant. This role combines strategic advisory with hands-on work, ensuring our assessment methodologies are scientifically sound, fair, and compliant with professional and legal standards. You’ll collaborate closely with product and engineering to validate and improve our AI-driven assessment systems.
What You’ll Do
Evaluate and improve candidate assessment frameworks;
Design and run validation studies (criterion-related, construct, content validity);
Establish and monitor reliability metrics (e.g., internal consistency, test-retest);
Ensure AI-driven scoring aligns with psychometric best practices;
Audit algorithms for bias, fairness, and adverse impact;
Support calibration and continuous improvement of ranking models;
Ensure alignment with EEOC, APA, and SIOP standards;
Conduct adverse impact analyses and assess subgroup differences;
Recommend and implement bias mitigation strategies;
Define and track key measurement KPIs (validity, reliability, fairness);
Translate technical findings into clear, actionable insights;
Prepare documentation for audits, certification, and external validation.
Success Metrics
Assessment validity and reliability clearly established and documented;
Fairness and bias benchmarks defined, tracked, and improved over time;
Readiness for certification or third-party validation within agreed timelines.
Core Requirements
Master’s or PhD in Psychometrics, Industrial-Organizational Psychology, Statistics, or a related field;
5+ years of experience in assessment validation, ideally in hiring or talent assessment;
Strong knowledge of Item Response Theory (IRT) and/or Classical Test Theory (CTT);
Experience designing and executing validation studies;
Hands-on experience with adverse impact and fairness analysis;
Strong analytical and problem-solving skills;
Ability to work independently in a remote, flexible environment;
Clear communication skills, especially with non-technical stakeholders.
Nice to Have
Experience with AI/ML-based hiring or assessment systems;
Background in HR tech or talent analytics;
Experience supporting audits, certification, or compliance processes;
Academic or research affiliation.
Engagement Details
Part-time, ongoing consulting role;
Fully remote with flexible hours;
Mix of strategic advisory and hands-on work.
