Higher Education Expert

Role Overview

Mercor is partnering with leading AI labs to engage experienced higher education professionals — faculty, administrators, and academic researchers — to improve AI systems' understanding of university operations, academic workflows, and institutional decision-making. Contributors will apply their expertise in areas such as curriculum design, accreditation, student affairs, research administration, and academic policy to evaluate and enhance AI performance on education-specific tasks. This is a project-based opportunity with potential for ongoing engagement depending on performance and project needs.

Key Responsibilities

Review and evaluate AI-generated outputs related to academic content, institutional policy, and higher education operations

Create realistic scenarios based on university workflows — admissions decisions, tenure review, grant administration, curriculum development, and accreditation processes

Annotate, label, and validate data across higher education use cases (e.g., student advising, course planning, institutional research)

Provide structured feedback on AI accuracy in areas such as academic writing, pedagogical reasoning, and compliance with education regulations (FERPA, Title IX, accreditation standards)

Collaborate asynchronously with research teams to refine evaluation frameworks for education-domain AI

Ideal Qualifications

3+ years of professional experience in a higher education institution (e.g., R1 university, liberal arts college, community college system, or equivalent)

Background in one or more areas such as:

Faculty roles (teaching, research, departmental governance)

Academic administration (registrar, provost office, enrollment management)

Student affairs (advising, financial aid, residential life)

Research administration (grants, IRB, sponsored programs)

Accreditation, assessment, or institutional effectiveness

Strong analytical thinking and ability to translate academic workflows into structured evaluation