1

Ai Coding Trainer Jobs in Indiana (NOW HIRING)

AI Technical Lead

Carmel, IN · On-site

$118.51 - $177.76/hr

Establish engineering standards, coding practices, and architectural guidelines for AI system ... training workflows, AI service layers, and scalable AI application infrastructure. Design and ...

Rapidly prototype AI‑powered solutions (code first, polish later) that address immediate operational requirements. * Conduct hands‑on training sessions on platform capabilities and AI workflow ...

This role is not about writing complex code or developing software from scratch rather, it focuses ... Company-Wide Training & Content Creation * Produce engaging video tutorials and screen recordings ...

Collaborate in Agile/Scrum workflows, mentor junior engineers, and lead design/code reviews to ... Demonstratable expertise in ML model training/optimization, local/cloud (AWS Sagemaker, Azure ...

Associate AI Solution Architect

Indianapolis, IN · On-site

$60.25 - $79.25/hr

... training, defining support procedures. * Assisting clients with application architecture design ... code for architectural fit, monitoring engineers and serving as the primary technical liaison ...

Professional career development and training plan. You will be able to acquire or perfect knowledge ... No dress code! Be confortable at work * Are you coming from another country? We offer you a ...

... Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and ... training, and deploying machine learning models - Developing scalable, cloud-native microservices ...

Showing results 41-60

Ai Coding Trainer information

What is an AI coding trainer?

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 does an AI coding trainer do?

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 as an AI coding trainer?

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.

What are the most commonly searched types of Ai Coding Trainer jobs in Indiana?

The most popular types of Ai Coding Trainer jobs in Indiana are:

What are popular job titles related to Ai Coding Trainer jobs in Indiana?

For Ai Coding Trainer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Ai Coding Trainer jobs in Indiana look for?

The top searched job categories for Ai Coding Trainer jobs in Indiana are:

What cities in Indiana are hiring for Ai Coding Trainer jobs?

Cities in Indiana with the most Ai Coding Trainer job openings:

Infographic showing various Ai Coding Trainer job openings in Indiana as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution.

AI Enabled Automation Architect (pharmaceutical manufacturing)

Vailexa Technology LLC

Indianapolis, IN • On-site

Other

Re-posted 17 hours ago


Job description

Role- AI Enabled Automation Architect
Location- Indianapolis, IN onsite
Duration - 18 months
 
Required Qualifications
  1. Experience with tech transfer, manufacturing automation, recipe design, control strategies, and batch execution workflows; specifically batch process experience, not continuous process control.
  2. Minimum 6 years of hands-on, batch-specific DeltaV configuration experience (not continuous), plus working knowledge of MES, data integration, and digital manufacturing architectures.
  3. Pharmaceutical or life sciences manufacturing experience; Small Molecule experience specifically preferred, with biologics, advanced therapies, or multi-modality experience considered a plus.
  4. Capability in data modeling, information architecture, knowledge representation, or related digital-knowledge disciplines.
  5. Experience bridging process knowledge and digital execution systems without over-reliance on custom application development.
  6. Experience designing modular, reusable technical frameworks rather than one-off implementations.
  7. Hands-on experience with AI or machine learning tools in an regulated technical environment, with the aptitude and willingness to grow into more advanced AI-driven workflows (e.g. agentic architectures).
  8. Ability to work iteratively using real process examples, user feedback, and rapid learning cycles.
  9. Strong cross-functional engagement skills with automation, process engineering, operations, PT&E, quality, and related stakeholder groups.
Preferred Capabilities
  • AI-enabled analysis, decision support, or knowledge-system experience in regulated technical environments; particularly agentic architecture and coding experience (e.g. Claude Code, Codex).
  • Change-management, training, and governance experience to help operationalize adoption across functions.
  • Familiarity with data integrity principles (ALCOA+) and data governance frameworks.
  • Experience with Kneat, ValGenesis, or similar electronic validation management systems.