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Ai Coding Trainer Jobs in Indiana (NOW HIRING)

inKind

Data Engineer (AI)

Austin, IN

$135K - $155K/yr

... training and inference, and retrieval-augmented generation (RAG) systems. Responsibilities ... AI coding assistants and agents, while balancing competing concerns (tech debt, cost, security ...

inKind

Senior React Native Software Engineer

Austin, IN

$127K - $159K/yr

Leverage AI coding agents and modern developer tooling to accelerate engineering velocity ... Career development and training opportunities designed to support long-term professional growth ...

SUSE

Our code, our culture, our opportunities. Leading open innovation without limits. We are SUSE. SUSE ... Develop specialized training for global teams. You must build consensus across matrixed ...

General Motors

Senior AI/ML Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

... training data solutions at foundation-model scale . We partner closely across AI/ML engineers ... Drive code reviews, design discussions, and technical decisions. * Collaborate across the AV stack ...

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Ai Coding Trainer information

What is an AI Coding Trainer job?

An AI Coding Trainer is responsible for teaching and mentoring AI models in coding and software development. This role involves curating datasets, reviewing AI-generated code, and providing feedback to improve the model's accuracy and efficiency. AI Coding Trainers often work with large language models, ensuring they understand best coding practices, debugging techniques, and industry standards. Their goal is to enhance the AI's ability to assist programmers in writing, reviewing, and optimizing code.

What are some typical responsibilities of an AI Coding Trainer on a day-to-day basis?

As an AI Coding Trainer, your typical day may involve preparing and delivering interactive lessons or workshops on AI programming concepts, designing practical coding exercises, and providing individualized feedback to learners. You may also collaborate with curriculum developers to keep course content current and industry-relevant, and work closely with students to help troubleshoot technical challenges. Regularly assessing learner progress and adapting instruction methods to accommodate diverse learning styles are key parts of the role. This position often requires a mix of independent work and teamwork within a supportive educational or corporate training environment.

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

To thrive as an AI Coding Trainer, you need a strong foundation in programming languages (such as Python), machine learning concepts, and experience teaching technical subjects, often backed by a degree in computer science or a related field. Hands-on familiarity with development environments, AI frameworks (like TensorFlow or PyTorch), and professional certifications in AI or data science are highly valued. Excellent communication, patience, and the ability to convey complex ideas clearly are essential soft skills for this role. These skills are important because they ensure trainers can effectively support learners, adapt to different skill levels, and stay current in a rapidly evolving field.

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Ai Coding Trainer jobs near you
Infographic showing various Ai Coding Trainer job openings in Indiana as of June 2026, with employment types broken down into 2% Internship, 88% Full Time, and 10% Part Time. Highlights an 73% In-person, 6% Hybrid, and 21% Remote job distribution.
Data Engineer (AI)

Data Engineer (AI)

inKind

Austin, IN

$135K - $155K/yr

Other

Medical, Dental, Vision, PTO

Posted 28 days ago

Job description


Job Title: AI Data Engineer

Reports to: Senior Data Engineer

Role Summary:

Data Engineering is a key role in the development team and is responsible for building and maintaining the AI-ready data foundation that powers inKind's intelligent products, machine learning models, and large language model (LLM) applications. The position requires working across departments to build, operate, and optimize highly available data pipelines that feed analytics, ML training and inference, and retrieval-augmented generation (RAG) systems.

Responsibilities: 

  • Responsible for the design, deployment, and maintenance of the business's data and AI platforms
  • Own architectural processes and decisions for various data models within the organization, including schemas, vector stores, and knowledge bases that support AI and LLM use cases
  • Design and operate feature pipelines, embedding pipelines, and evaluation datasets that support machine learning model training, fine-tuning, and continuous evaluation
  • Work cross-functionally with various departments, including but not limited to: leadership, the development team, the finance team, and the data science team, in order to convert data into understandable information and AI-ready inputs for other professionals
  • Ensure implemented data and AI systems have relevant security, privacy, and data-governance controls - particularly around data flowing into and out of third-party LLM providers

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field. An equivalent of this educational requirement in working experience is also acceptable
  • 5+ years professional database development experience, preferably as a Data Engineer in a fast-paced environment and complex business setting
  • Expert level knowledge of SQL with focus on writing and optimizing queries
  • Demonstrated experience building and maintaining reliable and scalable ETL/ELT using Snowflake, dbt, and AWS architecture
  • Proficiency in Python and modern AI/ML tooling and experience integrating with LLM APIs (Anthropic, OpenAI, etc.)
  • Expert problem solving ability and maker's mentality; vast experience designing & architecting new features and solutions from scratch - especially those that blend traditional data systems with AI-powered components
  • Eagerness to discover innovative ways to work faster and more efficiently, including leveraging AI coding assistants and agents, while balancing competing concerns (tech debt, cost, security, complexity, etc.)
  • Proactive communication, both written and spoken, and excellent ability to work well with others, in-person and remotely
  • Courage when it comes to raising concerns and asking questions
  • Ability to stay up-to-date with new frameworks and tools - especially in the rapidly evolving AI/ML space - to speed up development, while keeping a sharp eye out for potential vulnerabilities and edge cases (including prompt injection and data leakage to third-party AI services)
Benefits & Perks at inKind

At inKind, we believe supporting our employees goes beyond compensation. We're committed to creating an environment where our team can thrive both professionally and personally.

Health & Wellness
  • 100% employer-paid medical coverage through Blue Cross Blue Shield for employees on our base healthcare plan
  • 100% employer-paid Dental PPO coverage for employees
  • Vision coverage available
  • Company-paid Short-Term Disability coverage
Time Away & Flexibility
  • Unlimited Paid Time Off
  • 9 paid company holidays annually
  • Generous parental leave and child care benefits
Growth & Development
  • Career development and training opportunities designed to support long-term professional growth
Food & Lifestyle Perks
  • Daily catered lunches and office snacks
  • Credits to dine within the inKind restaurant network
Workplace Environment
  • Collaborative, in-person culture based in Austin, Texas
  • Dog-friendly office environment with views of downtown Austin

Salary: 

$135,000 - $155,000, DOE 

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