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Kelley AI Grading and Enablement Lead; Application Administrator

Job in Bloomington, Monroe County, Indiana, 47401, USA
Listing for: Indiana University
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    AI Business & Operations, Change Management, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 100000 - 140000 USD Yearly USD 100000.00 140000.00 YEAR
Job Description & How to Apply Below
Position: Kelley AI Grading and Enablement Lead (Application Administrator)

Overview

Kelley School of Business at Indiana University seeks a Kelley AI Grading and Enablement Lead to support the Kelley Technology Curriculum Accelerator. The role is within the Virtual Advanced Business Technologies area and supports cross-departmental technology and AI curriculum operations, including courses and initiatives connected to Communication, Professional and Computer Skills, Operations and Decision Technologies, and related school-level AI programs.

Department-Specific Responsibilities
  • Administers and supports AI-assisted grading tools, workflows, documentation, user training, issue resolution, and quality-control processes for Kelley’s technology and AI curriculum.
  • Manages day-to-day Canvas and AI-assisted grading workflows that use AI tools, prompts, agents, evaluations, and quality-control processes across X101 and X201, with support for K201, K303, and related Kelley Technology Curriculum Accelerator initiatives.
  • Configures, tests, documents, and supports Canvas and AI-assisted grading tools, workflows, prompts, rubrics, evaluations, and related operational processes.
  • Develops and maintains workflow documentation, user guidance, training materials, quality-control procedures, and escalation protocols.
  • Serves as a primary support point for TA issues related to AI-assisted grading workflows, including troubleshooting, issue triage, and escalation of items requiring faculty judgment.
  • Trains TA graders on grading workflows, rubrics, AI-assisted tools, feedback processes, escalation procedures, and quality-control expectations.
  • Translates faculty grading expectations into repeatable, documented processes that can be applied consistently by TAs and supported at scale.
  • Monitors grading workflow performance, identifies operational issues or risks, and recommends improvements for consistency, reliability, and scalability.
  • Supports student-facing and course-facing operational questions related to Canvas, grading workflows, feedback processes, access issues, and AI curriculum operations.
  • Supports AI integration work in K201 and K303, content refreshes, workflow design, testing, term-launch readiness, and implementation of AI-enabled academic operations.
  • Builds and maintains reusable AI resources, including prompts, custom AI tools, agents, evaluations, documentation, and standardized workflows for faculty, staff, and student teams.
  • Supports the technology advancement function of the AI Ambassadors program by developing shared tooling and equipping student teams with current AI workflows and methods.
  • Provides operational and technical support for school-level AI curriculum initiatives, including events and programs.
  • Collaborates with faculty, staff, student teams, and academic leaders to improve scalable AI-enabled academic operations.
  • Responsible for building, configuring, testing, documenting, implementing, and continuously improving AI-assisted grading workflows, primarily for X101 and X201, with additional support for K201 and K303 AI work.
  • Manages the day-to-day operation of AI-assisted grading workflows while faculty retain authority over grading standards and final decisions.
  • Supports reusable AI tooling and academic operations infrastructure for Kelley initiatives, including the AI Ambassadors program and related events.
General Responsibilities
  • Escalation point for troubleshooting, analyzing, and designing solutions for problems in applications and products.
  • Manages upgrades, releases, customization, and documentation according to team methodology.
  • Leads design, development, and implementation of new software solutions.
  • Develops best practices for building, testing, and deploying applications.
  • Guides evaluation and guidance for implementation of new technologies to improve client applications.
  • Collaborates with leadership on project planning, objective formulation, task estimation, and evaluation of requests.
  • Mentors and provides guidance to less experienced staff.

Combinations of related education and experience may be considered. Education beyond the minimum may be substituted for work experience, and vice versa.

Education

Required

  • Bachelor’s degree (preferably in computer science, business…
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