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Ai Jobs in Indiana (NOW HIRING)

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Conduct qualitative and quantitative chemical analyses and experiments to support product development ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Conduct qualitative and quantitative chemical analyses and experiments to support product development ...

Legal Counsel - AI Trainer

Fishers, IN ยท Remote

$140 - $350/hr

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is tailored for US-based legal professionals with backgrounds at top-tier law firms, seeking to ...

Legal Counsel - AI Trainer

Evansville, IN ยท Remote

$140 - $350/hr

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is tailored for US-based legal professionals with backgrounds at top-tier law firms, seeking to ...

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is tailored for US-based legal professionals with backgrounds at top-tier law firms, seeking to ...

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is tailored for US-based legal professionals with backgrounds at top-tier law firms, seeking to ...

Legal Counsel - AI Trainer

Fort Wayne, IN ยท Remote

$140 - $350/hr

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is tailored for US-based legal professionals with backgrounds at top-tier law firms, seeking to ...

Showing results 21-40

Ai information

See Indiana salary details

$42

$58

$68

How much do ai jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for ai in Indiana is $58.43, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $64.95 per hour, depending on experience, location, and employer.

What is an AI?

An AI job involves working with artificial intelligence technologies to develop, implement, and optimize machine learning models, algorithms, and automation systems. Professionals in this field may work as AI engineers, researchers, data scientists, or machine learning specialists. Responsibilities often include data analysis, model training, natural language processing, and computer vision tasks. AI jobs exist in various industries, including healthcare, finance, robotics, and cybersecurity.

What is an entry-level job in AI?

An entry-level job in AI typically involves tasks such as data preprocessing, basic model training, and assisting with AI research under supervision. Common roles include AI intern, junior data scientist, or AI technician, often requiring foundational knowledge of programming languages like Python and understanding of machine learning concepts.

What are the typical career progression paths for professionals working in AI roles?

Career progression in AI typically starts with roles such as AI Researcher, Machine Learning Engineer, or Data Scientist, advancing to senior positions like AI Architect, Principal Data Scientist, or AI Project Lead as you gain expertise and experience. Many professionals also transition into specialized areas, including natural language processing, computer vision, or robotics, or move into management and leadership positions overseeing AI initiatives. Continuous learning and certification in emerging AI technologies help accelerate advancement. The dynamic nature of AI means there are abundant opportunities to shape your career path based on your interests and evolving industry needs.

How do I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects, as well as staying updated with industry tools like TensorFlow or PyTorch, can help build relevant skills for entry-level roles.

What are the key skills and qualifications needed to thrive in the AI position, and why are they important?

To excel as an AI (Artificial Intelligence) Specialist, a solid background in computer science, mathematics, and machine learning principles, often with a relevant degree or higher, is essential. Experience with programming languages like Python or R, familiarity with machine learning frameworks (such as TensorFlow or PyTorch), and certifications in AI or data science are highly valued. Analytical thinking, creativity, and effective communication help professionals in this role translate complex data into actionable solutions and collaborate with cross-functional teams. Mastering these skills ensures innovative problem-solving and the successful development and deployment of AI solutions in real-world applications.

What are the most commonly searched types of Ai jobs in Indiana? The most popular types of Ai jobs in Indiana are:
What cities in Indiana are hiring for Ai jobs? Cities in Indiana with the most Ai job openings:
Infographic showing various Ai job openings in Indiana as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $121,533 per year, or $58.4 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Carmel, IN โ€ข Remote

$90 - $120/hr

Part-time

Posted 10 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.