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Temporary Research Assistant in Data Science and Educational AI
Job Location:
Job Location:
Chapel Hill, NC - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
9 August 2026 (2 days ago)
Posted:
Application Deadline:
6 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Position Summary
The Temporary Research Assistant will support a research project developing reusable open-source AI tutoring infrastructure for mathematics education. The position will focus on data preparation analysis model evaluation software development and documentation. The position will work with an interdisciplinary team in data science artificial intelligence learning sciences and education. Primary Responsibilities * Clean organize de-identify and document educational datasets. * Develop Python scripts and reproducible data-processing pipelines. * Support evaluation of learner-state classification adaptive feedback and open-weight language models. * Calculate and summarize model-performance metrics including agreement accuracy calibration and subgroup performance. * Assist with testing AI workflows identifying errors and documenting results. * Maintain organized code datasets experiment logs and technical documentation. * Create tables visualizations and summaries for project reports presentations and publications. * Contribute to open-source software benchmarks and other project digital public goods. * Participate in research meetings and collaborate with faculty researchers and technical partners. The position will report to Dr. Leonora (Lora) Kaldaras Principal Investigator and collaborate with project faculty researchers and partner organizations.
The Temporary Research Assistant will support a research project developing reusable open-source AI tutoring infrastructure for mathematics education. The position will focus on data preparation analysis model evaluation software development and documentation. The position will work with an interdisciplinary team in data science artificial intelligence learning sciences and education. Primary Responsibilities * Clean organize de-identify and document educational datasets. * Develop Python scripts and reproducible data-processing pipelines. * Support evaluation of learner-state classification adaptive feedback and open-weight language models. * Calculate and summarize model-performance metrics including agreement accuracy calibration and subgroup performance. * Assist with testing AI workflows identifying errors and documenting results. * Maintain organized code datasets experiment logs and technical documentation. * Create tables visualizations and summaries for project reports presentations and publications. * Contribute to open-source software benchmarks and other project digital public goods. * Participate in research meetings and collaborate with faculty researchers and technical partners. The position will report to Dr. Leonora (Lora) Kaldaras Principal Investigator and collaborate with project faculty researchers and partner organizations.
Required Experience:
Staff IC
About Company
The University of North Carolina at Chapel Hill, the nation’s first public university, is a global higher education leader known for innovative teaching, research and public service. A member of the prestigious Association of American Universities, Carolina regularly ranks as the best ... View more
