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Ai Accelerator information

What are the key skills and qualifications needed to thrive as an AI Accelerator, and why are they important?

To thrive as an AI Accelerator, you need a deep understanding of machine learning algorithms, computer architecture, and parallel computing, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with hardware description languages (HDLs), CUDA, TensorFlow, and specific AI accelerator platforms is typically required. Strong problem-solving abilities, collaboration, and adaptability are essential soft skills for navigating complex projects and interdisciplinary teams. These skills and qualities are crucial for designing, optimizing, and deploying high-performance AI systems that meet real-world demands.

How does an AI Accelerator typically collaborate with data scientists and engineering teams on AI projects?

AI Accelerators work closely with both data scientists and engineering teams to bridge the gap between model development and deployment. They often help optimize AI models for efficiency and scalability, ensuring they run effectively on various hardware platforms. Regular collaboration includes reviewing model architectures, suggesting improvements for speed and accuracy, and troubleshooting performance bottlenecks together. This cross-functional teamwork is essential for translating research breakthroughs into robust, real-world AI solutions.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leadership, strategic planning, and cutting-edge development in AI technologies, with compensation reflecting the expertise and impact expected. Such salaries are rare and generally found in large tech companies, finance, or specialized consulting firms.

What is AI Career Accelerator?

An AI Career Accelerator is a program or initiative designed to help individuals develop skills in artificial intelligence, often through training, certifications, or mentorship. It aims to prepare participants for roles in AI development, data science, or machine learning by providing practical experience and industry-relevant knowledge.

Is AI Career Accelerator worth it?

AI Career Accelerator programs are designed to provide training in AI concepts, programming, and tools like Python and machine learning frameworks. They can help individuals develop relevant skills and improve job prospects in AI-related roles, but their value depends on program quality and the individual's prior experience and goals.

What are AI Accelerators?

AI Accelerators are specialized hardware or software systems designed to optimize and speed up artificial intelligence (AI) and machine learning (ML) workloads. They process complex computations required by AI algorithms more efficiently than general-purpose CPUs, enabling faster training and inference for deep learning models. Common examples of AI accelerators include GPUs, TPUs, FPGAs, and dedicated AI chips. These technologies are widely used in data centers, edge devices, and consumer electronics to support applications like image recognition, natural language processing, and autonomous vehicles.

What does an AI accelerator do?

An AI accelerator is a specialized hardware or software that enhances the speed and efficiency of artificial intelligence workloads, such as machine learning model training and inference. AI accelerators often include GPUs, TPUs, or custom chips designed to handle large data processing tasks quickly, supporting AI development and deployment. Professionals working with AI accelerators typically need knowledge of hardware architecture, programming skills, and familiarity with AI frameworks.
What are popular job titles related to Ai Accelerator jobs in Indiana? For Ai Accelerator jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Accelerator jobs in Indiana look for? The top searched job categories for Ai Accelerator jobs in Indiana are:
Ai Accelerator jobs near you
Kelley AI Grading and Enablement Lead (Application Administrator)

Kelley AI Grading and Enablement Lead (Application Administrator)

Indiana University

Bloomington, IN • On-site

$1.2K - $1.6K/wk

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 9 days ago

Job description

The Kelley School of Business at Indiana University is a comprehensive provider of top-tier business education with a full portfolio of undergraduate, graduate, doctoral, and executive programs on campuses in Bloomington and Indianapolis, and online worldwide. The Kelley School has been creating career momentum for 100 years, going from 70 students in 1920 to an enrollment of more than 15,000 students today. Our innovative curriculum is built on personal development, teamwork, and experiential learning with an emphasis on global and social responsibility. Our success is reflected in our reputation among academic peers, our career placement statistics, and the accomplishments of more than 137,000 living alumni around the globe.
Job Summary
The Kelley School of Business is hiring a Kelley AI Grading and Enablement Lead to support the Kelley Technology Curriculum Accelerator. The position is within Kelley's 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 operational quality-control processes for Kelley's required technology and AI curriculum.
  • Administers day-to-day Canvas and AI-assisted grading workflows that use harnessed 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 including 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 to support 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 GPTs, agents, evaluations, documentation, and standardized workflows for faculty, staff, and student teams.
  • Supports the technology advancement function of the AI Ambassadors program by helping develop shared tooling, improve technical capabilities, and equip student teams with current AI workflows and methods.
  • Provides operational and technical support for school-level AI curriculum initiatives, including prompt-a-thons, build-a-thons, AI-in-education events, student competitions, and other applied AI 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 AI integration work in K201 and K303.
  • Manages the day-to-day operation of AI-assisted grading workflows while faculty retain authority over grading standards, academic judgment, and final grading decisions.
  • Supports reusable AI tooling and academic operations infrastructure for related Kelley initiatives, including the AI Ambassadors program, prompt-a-thons, build-a-thons, AI-enabled student competitions, workshops, and other applied AI programs.
General Responsibilities
  • Serves as the highest point of escalation for troubleshooting, analyzing, and designing solutions for problems and bugs in applications and products.
  • Manages highly complex upgrades, releases, customization, and documentation of work according to team's established methodology.
  • Leads in the design, development, and implementation of new software solutions by influencing the services and technologies that are developed.
  • Develops best practices for building, testing, and deploying applications.
  • Serves as the point of contact with regards to research, evaluation, and guidance for implementation of new and emerging technologies that improve the success of client applications.
  • Collaborates with leadership and leads project planning, objective formulation, task estimation and evaluation of customer requests.
  • Often provides guidance and feedback to less experienced staff.
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree (preferably in computer science, business systems, or related field)
WORK EXPERIENCE
Required
  • 5 years customer/application support, programming, or related experience
SKILLS
Required
  • Proficient communication skills
  • Demonstrated problem solving skills
  • Ability to simultaneously handle multiple priorities
  • Demonstrated customer service skills
  • Quickly troubleshoots and resolves problems
  • Performs work independently with minimal supervision
  • Effectively coaches and delivers constructive feedback
  • Demonstrates excellent judgment and decision making skills
  • Excellent collaboration and team building skills
Preferred
  • Demonstrates ability to use generative AI tools in applied operational workflows
  • Ability to configure, test, document, support, and improve AI-enabled tools, workflows, and processes
  • Strong troubleshooting, issue-triage, and problem-solving skills
  • Ability to create clear workflow documentation, user guidance, training materials, and quality-control procedures
  • Strong communication skills and the ability to work effectively with faculty, staff, students, and student employee teams
  • Ability to train and support TA graders or comparable user groups
  • Strong operational judgment, attention to detail, and ability to manage multiple concurrent workstreams
  • Ability to work independently in an evolving technical and academic environment
  • Experience with Canvas or comparable learning management systems
  • Experience with grading workflows, rubric-based assessment, academic operations, or educational technology support
  • Experience administering, supporting, or improving applications, business systems, AI tools, or comparable technology platforms
  • Experience designing reusable AI resources such as prompts, custom GPTs, agents, evaluations, or standardized workflows
  • Experience with user support, training, troubleshooting, issue tracking, testing, or workflow documentation
  • Experience supporting workshops, build-a-thons, student competitions, training programs, or other applied technology initiatives
  • Experience developing or supporting harnessed AI workflows, agent-based tools, evaluations, prompts, guardrails, or other AI operational infrastructure
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Work Location
This position is eligible to work a hybrid schedule (mix between remote and in-person work), subject to change in the future based on university policy and business needs.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Advanced
FLSA: Exempt
Job Function: Information Technology
Job Family: Software/App, Admin & Analysis
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
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