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Ai Coding Trainer Jobs (NOW HIRING)

OpenAI

AI Deployment Engineer- Codex

San Francisco, CA · On-site

$197K - $278K/yr

About the team The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools ... Have experience delivering large, high-impact workshops or technical training to engineering teams ...

Jeppesen ForeFlight

Principal AI Engineer

... of coding agents, LLM-based workflows, and AI-native development practices • Develop training, playbooks, standards, and internal best practices for AI-enabled engineering • Identify ...

OpenAI

AI Deployment Engineer- Codex

San Francisco, CA · On-site

... coding workflows. • Partner directly with customers to design and implement AI-enhanced ... training to engineering teams and know how to craft sessions that are engaging, hands-on, and ...

Leidos

AI Engineer

San Diego, CA · On-site

... Training Support, Parental Paid Leave, and much more. Join us and make a difference in National ... Integrate AI into engineering workflows for requirements analysis, code generation, testing ...

Tata Consultancy Service Limited

AI Engineer

Raritan, NJ · On-site

$90K - $100K/yr

... Leverage AI coding assistants (e.g., GitHub Copilot, agentic IDEs) to accelerate delivery while ... Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial ...

Leidos

AI Engineer

San Diego, CA · On-site

... Training Support, Parental Paid Leave, and much more. Join us and make a difference in National ... Integrate AI into engineering workflows for requirements analysis, code generation, testing ...

CHAMBERLAIN GROUP

Software Engineer I - AI

Oak Brook, IL · On-site

$53K - $100K/yr

Use AI coding tools (Cursor, Claude, Codex, Copilot, etc.) to accelerate development and improve ... training, and/or experience. In addition to base pay, also offered is a comprehensive benefits ...

New

TMS

AI-Native Transformation Specialist

Edison, NJ · Remote

$200K - $220K/yr

... code review, QA, and documentation--to leverage AI agents and automated workflows, reducing cycle time by 30-50%. Cultural Enablement: Design and deliver workshops, training sessions, and playbooks ...

ForeFlight

Principal AI Engineer

Austin, TX · On-site +1

$208K - $255K/yr

Upskill and mentor existing engineering teams on effective use of coding agents, LLM-based workflows, and AI-native development practices * Develop training, playbooks, standards, and internal best ...

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How much do ai coding trainer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for ai coding trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

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 the United States as of July 2026, with employment types broken down into 62% Full Time, 25% Part Time, and 13% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Junior Software Engineer (AI-Forward)

Texas Sports Academy Main

Austin, TX

Other

Re-posted yesterday

Job description

As a Junior Software Engineer with Texas Sports Academy, you'll help build the software that runs our school, student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is an early-career, AI-forward seat. You'll work directly with the founders and senior engineers, ship code every week with AI in your loop, and grow into the LLM-powered features that make our school feel nothing like a traditional school.

What You Will Be Doing
  • Building and shipping product features across the full stack every week, with AI coding tools running alongside you.
  • Contributing to real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, and the evals behind them.
  • Working directly with the founders and senior engineers on scope and trade-offs, no PM layer in between.
  • Picking up ownership of smaller systems end-to-end and growing into bigger ones.
  • Running your own AI coding workflow, prompts, subagents, custom tools, MCP servers, and getting sharper at it every week.
  • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code.
What You Will NOT Be Doing
  • Pretending AI is optional. If you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop, this role is not for you.
  • Sitting in status meetings all day. Few meetings, more shipping.
  • Working on a narrow slice of a giant codebase.
  • Waiting around for tickets. You'll be in the room when we decide what to build.
Key Responsibilities
  • Ship production code and AI features that real students, parents, and staff rely on every day.
  • Own smaller systems and features end-to-end as you ramp up.
  • Move fast. Features go from idea to production in days, not quarters, without breaking things.
  • Level up your AI-engineering chops alongside a senior team.

Requirements

  • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics.
  • 0 to 2 years of full-time engineering experience. Strong internships, side projects, and shipped personal work count.
  • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software.
  • Comfortable in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP).
  • Excellent written English.
  • Based in Austin, TX.
Nice to Have
  • At least one shipped LLM-powered project, school project, hackathon, or side project, with some kind of eval story.
  • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use, or voice agents.
  • Public GitHub or a personal AI project we can actually try.
  • A personal project you built because you wanted to.
  • Background in education, edtech, or sports.

Apply