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Artificial Intelligence Machine Learning Jobs in Indiana

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

They are seeking a highly skilled AI Developer responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that drive business value and innovation.

AI Developer | About You As an AI Developer, you are responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that drive business value and ...

AI Developer | About You As an AI Developer, you are responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that drive business value and ...

AI Developer | About You As an AI Developer, you are responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that drive business value and ...

AI Developer | About You As an AI Developer, you are responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that drive business value and ...

Acquisition Management Analyst

Crane, IN ยท On-site

$77K - $104K/yr

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning ...

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Artificial Intelligence Machine Learning information

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How much do artificial intelligence machine learning jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for artificial intelligence machine learning in Indiana is $25.07, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $26.54 per hour, depending on experience, location, and employer.

Is AI machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals. Careers in this area often require knowledge of programming languages like Python, data analysis, and understanding of algorithms, offering strong job prospects and competitive salaries.

What is an Artificial Intelligence Machine Learning job?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What are some typical projects or tasks an Artificial Intelligence Machine Learning professional might work on?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Machine Learning position, and why are they important?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

What is AI ML salary?

The salary for artificial intelligence and machine learning professionals varies based on experience, location, and skill level, but typically ranges from $80,000 to over $150,000 annually. Entry-level roles may start around $70,000, while experienced specialists with advanced skills in deep learning, data analysis, and programming can earn higher salaries, especially in tech hubs or companies with specialized AI projects.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Deep Learning Engineer, and AI Research Scientist. These positions typically require knowledge of programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of algorithms and data analysis.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record in AI development.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Indiana? The most popular types of Artificial Intelligence Machine Learning jobs in Indiana are:
What are popular job titles related to Artificial Intelligence Machine Learning jobs in Indiana? For Artificial Intelligence Machine Learning jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Artificial Intelligence Machine Learning jobs? Cities in Indiana with the most Artificial Intelligence Machine Learning job openings:
Infographic showing various Artificial Intelligence Machine Learning job openings in Indiana as of June 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $52,149 per year, or $25.1 per hour.
Senior Research Director - Center for Responsible AI in Learning and Assessment

Senior Research Director - Center for Responsible AI in Learning and Assessment

Educational Testing Service

Indianapolis, IN โ€ข On-site

Full-time

PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About ETS:

ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFLยฎ, TOEICยฎ, GREยฎ and Praxisยฎ tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide.

Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide.

The Senior Director of the Center for Responsible AI in Learning and Assessment serves as the intellectual and administrative leader for ETSโ€™s applied research and innovation agenda in artificial intelligence. This position leads the development, prioritization, and execution of a multi-year research portfolio focused on AI-enabled assessment, learning technologies, AI literacy, personalization, responsible AI, and large-scale model evaluation. This role provides strategic direction, scientific leadership, and people leadership across an integrated program of research and consulting.

This position is designed for a distinguished AI researcher who can shape the future of assessment by advancing and applying state-of-the-art approaches in artificial intelligence, machine learning, natural language processing, and/or generative AI to high-stakes educational and workforce measurement. The Senior Research Director will lead research agendas that improve validity, fairness, reliability, security, interpretability, and impact of AI-enabled assessmentsโ€”at scale.

The incumbent directs and administers fiscal, operational, personnel, and policy implementation activities for the research center while conducting an independent program of high-impact research and scholarly dissemination.

Primary Responsibilities

1) Strategic Scientific Leadership and vision for AI

  • Define and lead a multi-year research agenda at the intersection of AI and measurement, including:

  • automated scoring and evaluation (writing, speaking, constructed response, performance tasks)

  • LLM-enabled assessment design and delivery (e.g., generative task creation, adaptive interactions)

  • NLP and multimodal modeling for language and skills measurement

  • psychometric modeling integrated with ML (hybrid models, fairness-aware measurement, Bayesian/IRT + deep learning)

  • model evaluation frameworks aligned to validity arguments and operational constraints

  • responsible AI for high-stakes testing (bias, transparency, privacy, security, governance)

  • Identify emerging opportunities in AI

  • Serve as a scientific thought leader for ETS on AI-enabled assessment innovation, identifying emerging techniques, risks, and opportunities.

2) Research & Innovation Management
  • Lead the design and implementation of complex AI focused research programs requiring coordination of tasks, timelines, data resources, and staff across multiple projects.

  • Provide hands-on scientific direction and consultation on research protypes, models and analytic tools, methodology, and evaluation strategies.

  • Monitor research progress, ensure methodological rigor, and guide teams to high-quality deliverables that meet rigorous standards for fairness, reliability, and transparency.

3) External Funding, Proposals, and Partnerships
  • Consult on proposal development, identify potential funding agencies, and coordinate responses to RFPs.

  • Develop strong partnerships with universities, research labs, policy bodies, foundations, and other funding organizations.

  • Serve as liaison between ETS Research Institute and key client groups, including policy/advisory boards and government agencies.

  • Represent ETS at conferences and advisory groups

4) Dissemination, and Thought Leadership
  • Maintain an active, independent research program with sustained scholarly output.

  • Disseminate findings through peer-reviewed publications, technical reports, invited talks, and participation in seminars, symposia, and professional organizations.

  • Represent ETS externally and help position ETS as a global leader in AI for assessment and measurement science.

5) People Leadership & Talent Development
  • Recruit, develop, and mentor researchers and staff, building capability across AI, psychometrics, and applied measurement.

  • Guide staff work, provide coaching and performance feedback, and foster collaboration across disciplines.

  • Build an inclusive, high-performance research culture that values scientific integrity, innovation, and impact.

6) Center Administration & Operational Leadership
  • Direct center operations including budget planning, fiscal oversight, resource prioritization, and policy implementation.

  • Monitor and approve research and consulting expenditures; review and approve proposal and project budgets; manage against budgets.

  • Oversee personnel processes, including staffing plans, performance appraisals, and related actions in alignment with ETS policies.

#LI-RK1

#LI-REMOTE

Required Skills & Expertise Scientific & Technical Leadership (AI + Measurement)
  • Deep expertise in AI/ML, LLMโ€™s and NLP, with demonstrated application to assessment, learning, education, workforce skills measurement, or human performance evaluation.

  • Strong command of research design and statistical/quantitative methods, including measurement science and/or psychometrics.

  • Ability to connect AI modeling choices to assessment constructs, validity, fairness, reliability, and interpretability requirements.

Research Program Leadership
  • Proven ability to set a compelling scientific agenda, translate it into funded work, and deliver measurable impact.

  • Demonstrated experience leading complex research programs, multi-project portfolios, and cross-functional teams.

Communication & Influence
  • Exceptional oral and written communication skills, including the ability to explain complex AI concepts to diverse audiences (researchers, product leaders, policymakers, funders).

  • Track record of influence within professional communities and among senior stakeholders.

Leadership & Team Development
  • Demonstrated ability to lead teams, coach and develop talent, and foster a collaborative and inclusive culture.
Education & Experience
  • Ph.D. in Computer Science, Statistics, Psychology, Cognitive Science, Educational Measurement, or a closely related discipline.

  • Minimum 10 years of progressively responsible research and/or program leadership experience post-Ph.D., including evidence of both research excellence and administrative/people leadership.

  • A strong record of scholarly impact such as:

  • publications in leading venues relevant to the role (AI/ML/NLP and/or measurement/education research),

  • recognized contributions to the field (invited talks, editorial/service roles, awards, high-impact collaborations),

  • and/or demonstrated leadership of influential research programs.

  • Experience with one or more of the following:

  • large-scale language assessment and automated scoring systems

  • LLMs and evaluation (e.g., robust evaluation frameworks, safety, hallucination mitigation, grounded generation)

  • fairness-aware ML, bias detection/mitigation, interpretability, and model governance

  • privacy/security considerations for AI in assessment environments

  • translating research into operational or product contexts (research-to-practice)

Why ETS / What Youโ€™ll Shape

In this role you will help define the scientific future of assessment by advancing AI-enabled measurement that is valid, fair, transparent, and scalable. You will collaborate with world-class researchers and partners, influence global policy conversations, and contribute to ETSโ€™s mission of advancing quality and equity in education.

ETS is mission driven and action oriented
  • We are passionate about hiring innovative thinkers who believe in the promise of education and lifelong learning.

  • We are energized by cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders. In support of this ETS offers multiple Business Resource Groups (BRG) for you to learn and advance your career growth!

  • As a not-for-profit organization we will encourage you to lean in to your passion for volunteering. At ETS you may qualify for up to an additional 8 hours of PTO for volunteer work on causes that are important to you!

  • The base salary range advertised represents the low and high end of the anticipated salary range for this position. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. The base pay is only one aspect of the Total Rewards Package that will be offered to the successful candidate.

ETS is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We believe in creating a work environment where all individuals are treated with respect and dignity.

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