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Ai Associate Jobs in Indiana (NOW HIRING)

Arrive AI

Quality Technician

Fishers, IN · On-site

$16.75 - $22.75/hr

... AI. Requirements: What We're Looking For: * Minimum of 3 years of relevant hands-on technical experience * Strong understanding of mechanical and electromechanical systems Education * Associate ...

Deloitte

AI Solutions Architect

Indianapolis, IN · On-site

$60.25 - $79.25/hr

... AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into account the wide range of factors that are ...

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All JobsAi Associate JobsAi Associate Jobs in Indiana

Ai Associate information

See Indiana salary details

$43.8K

$102.9K

$164.1K

How much do ai associate jobs pay per year?

As of Jun 9, 2026, the average yearly pay for ai associate in Indiana is $102,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $123,700.00 per year, depending on experience, location, and employer.

What are AI Associates?

AI Associates are professionals who support the development, implementation, and optimization of artificial intelligence systems within organizations. Their responsibilities can include data analysis, model training, quality assurance, and assisting in the integration of AI solutions into business processes. AI Associates often work closely with data scientists, engineers, and business teams to ensure that AI projects meet organizational needs and deliver value. This role typically requires a foundational understanding of machine learning concepts, programming skills, and the ability to interpret and communicate technical findings to non-technical stakeholders.

What is the difference between Ai Associate vs Data Analyst?

AspectAi AssociateData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related fields; familiarity with AI toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis software
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageAI development teams, tech firmsBusiness intelligence, data-driven decision making
Common Search & Comparison IntentUnderstanding roles in AI developmentAnalyzing data to inform business strategies

While both roles involve working with data, an Ai Associate primarily focuses on developing and implementing AI models and algorithms, often requiring knowledge of machine learning and programming. A Data Analyst concentrates on interpreting data, creating reports, and providing insights to support business decisions. The roles overlap in data handling but differ in technical focus and application areas.

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

To excel as an AI Associate, you typically need a strong background in computer science, mathematics, and data analysis, often supported by a relevant degree or coursework. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and experience with data visualization tools are highly valued. Strong problem-solving abilities, communication skills, and a collaborative mindset help AI Associates work effectively in multidisciplinary teams. These capabilities ensure the development of robust AI solutions and foster innovation in rapidly evolving environments.

What are the typical daily responsibilities of an AI Associate, and how does this role contribute to team projects?

As an AI Associate, your daily tasks often include data preparation, model training, and conducting preliminary analyses to support larger AI initiatives. You will collaborate closely with data scientists, engineers, and project managers, frequently participating in team meetings to discuss progress and troubleshoot challenges. AI Associates play a vital role in ensuring data quality and supporting the deployment of machine learning models, which directly impacts the success of the team's projects. The position offers a dynamic environment where you learn best practices and gain hands-on experience with modern AI tools, setting a strong foundation for career advancement in the field.
What are the most commonly searched types of Ai jobs in Indiana? The most popular types of Ai jobs in Indiana are:
What are popular job titles related to Ai Associate jobs in Indiana? For Ai Associate jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Associate jobs in Indiana look for? The top searched job categories for Ai Associate jobs in Indiana are:
What cities in Indiana are hiring for Ai Associate jobs? Cities in Indiana with the most Ai Associate job openings:
Ai Associate jobs near you
Infographic showing various Ai Associate job openings in Indiana as of June 2026, with employment types broken down into 67% Full Time, 31% Part Time, and 2% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $102,921 per year, or $49.5 per hour.
Attorney (Instructional Exp) - AI Reviewer - Remote

Attorney (Instructional Exp) - AI Reviewer - Remote

micro1 AI

Fort Wayne, IN • Remote

$100 - $150/hr

Part-time

Posted 13 days ago

Job description

Job Title: Attorney

Job Type: Contract

Location: Remote


Job Summary: 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.


Key Responsibilities

  1. Design and implement robust legal rubrics for use in AI-driven document review and analysis processes.
  2. Conduct in-depth legal research and draft complex memoranda to guide AI model training and evaluation.
  3. Analyze large volumes of litigation documents to identify issues, trends, and data points vital for AI improvement.
  4. Collaborate with cross-functional teams to translate legal insights into actionable requirements for AI development.
  5. Oversee the quality and accuracy of AI outputs, providing feedback to enhance discovery management and motion practice capabilities.
  6. Develop case strategies and motion practice templates that inform machine learning models in legal contexts.
  7. Continuously review and refine rubric criteria to align with evolving legal standards and best practices.


Required Skills and Qualifications

  1. Juris Doctor (JD) degree and active bar membership.
  2. Active bar admission in at least one U.S. jurisdiction
  3. Minimum 5 years of litigation experience, with a strong track record managing document-intensive cases through discovery and dispositive motions.
  4. Exceptional legal research, writing, and analytical abilities, with particular skill in issue spotting and document analysis.
  5. Demonstrated expertise in case strategy development and motion practice.
  6. Proven ability to manage discovery processes and oversee complex legal document review projects.
  7. Outstanding written and verbal communication skills, with meticulous attention to detail.
  8. Technological acumen and comfort working in remote, digital-first environments.


Preferred Qualifications

  1. Law Review or Journal Editorial Experience, including substantive editing, cite-checking, and publication review of scholarly legal articles is highly prefered.

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