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Ai Coding Trainer Jobs (NOW HIRING)

Mercor

HIM Coding Manager - AI Systems

New York, NY · Remote

$80/hr

Annotate AI-generated coding outputs and provide structured feedback to support AI training datasets . Qualifications Must-Have * 5+ years of experience in medical coding, with at least 2 years in a ...

Ampcus Inc

AI Product Pilots Tech Lead

... Coding tool training sessions, workshops, and role-based learning programs, partnering with AI Program courseware development, training delivery, and AI coding tool/agentic specialists. • Guide ...

SmarterDx

Clinical Coding Specialist

$75K - $105K/yr

SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals ... Participate in ongoing training and professional development to stay current on documentation and ...

Mercor

ML Engineer - Coding Agent Expert

New York, NY · Remote

$85/hr

Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. * Review model-generated implementations involving model training , inference systems , MLOps ...

flyExclusive

AI Software Developer

Raleigh, NC · On-site

The role involves directing AI coding agents, designing and building machine-learning models, and ... training, evaluating, and deploying machine-learning / AI models in production, including comfort ...

Futran Tech Solutions Pvt. Ltd.

AI Engineer

... AI model training and inference. Work closely with domain experts to ensure compliance with healthcare regulations and payer requirements. Participate in code reviews, testing, and deployment ...

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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.
AI Coding Tools & Pilots Consultant

AI Coding Tools & Pilots Consultant

Ampcus

Chantilly, VA • On-site

Other

Posted 27 days ago

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: AI Coding Tools & Pilots Consultant

Location(s): Chantilly, VA

Job Summary:

We are seeking an experienced consultant to support the organization's AI transformation initiatives by driving the evaluation, deployment, adoption, and optimization of AI-powered coding tools and pilot programs. This role will serve as a bridge between engineering teams, AI platform teams, business stakeholders, and program leadership to ensure successful implementation and scaling of AI development solutions.

The ideal candidate will possess expertise in AI coding assistants, software development practices, platform evaluation, DevSecOps, user enablement, and pilot execution, with a strong focus on accelerating developer productivity and enterprise AI adoption.

Key Responsibilities:
  • AI Coding Tools Evaluation & Implementation
    • Evaluate AI-powered coding tools and developer productivity platforms for enterprise adoption.
    • Configure, deploy, and optimize AI coding assistants within development environments.
    • Assess tool capabilities, security requirements, integration options, and business value.
    • Support implementation of AI coding solutions across multiple engineering teams.
    • Define best practices and standards for AI-assisted software development.
  • AI Pilot Program Management
    • Lead proof-of-concepts (POCs), pilot programs, and technology assessments for emerging AI solutions.
    • Develop pilot objectives, success criteria, evaluation frameworks, and adoption strategies.
    • Monitor pilot performance and provide recommendations for scaling or improvement.
    • Document lessons learned, risks, and implementation recommendations.
    • Partner with stakeholders to identify and prioritize AI use cases.
  • Developer Enablement & Adoption
    • Support onboarding of developers and technical teams to AI coding tools.
    • Deliver demonstrations, workshops, training sessions, and knowledge-sharing activities.
    • Develop user guides, best practices, FAQs, and enablement materials.
    • Promote effective prompt engineering and AI-assisted development techniques.
    • Drive user adoption through engagement, support, and continuous improvement initiatives.
  • Platform Configuration & DevSecOps Support
    • Configure AI platforms, integrations, APIs, and supporting infrastructure.
    • Collaborate with DevOps and security teams to implement AI solutions within enterprise environments.
    • Support CI/CD integration, automation, access management, and governance controls.
    • Ensure AI tools comply with organizational security, privacy, and compliance requirements.
    • Participate in platform monitoring, maintenance, and operational support activities.
  • Release & Operational Support
    • Assist with release planning, deployment validation, and production readiness activities.
    • Troubleshoot platform, integration, and user issues related to AI tools and pilot environments.
    • Coordinate with vendors and internal support teams to resolve escalated issues.
    • Monitor adoption metrics, tool performance, and user feedback.
  • Governance & Continuous Improvement
    • Support AI governance initiatives, responsible AI practices, and risk management activities.
    • Develop standards, processes, and operational procedures for AI tool usage.
    • Identify opportunities to improve developer productivity, automation, and AI adoption.
    • Contribute to enterprise AI strategy and roadmap discussions.
Required Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related field.
  • 5 years of experience in software engineering, developer enablement, platform engineering, DevOps, AI consulting, or related technical roles.
  • Experience evaluating and implementing developer productivity tools and enterprise software platforms.
  • Hands-on experience with AI coding assistants and Generative AI technologies.
  • Strong understanding of software development lifecycle (SDLC), Agile methodologies, and DevSecOps practices.
  • Experience with cloud platforms (AWS, Azure, Google Cloud) and modern development environments.
  • Excellent communication, stakeholder management, and consulting skills.
Preferred Qualifications:
  • Experience with AI coding platforms such as GitHub Copilot, Cursor, Amazon Q, Codeium, Windsurf, or similar tools.
  • Familiarity with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and AI governance frameworks.
  • Experience leading technology pilots, proof-of-concepts, or innovation programs.
  • Knowledge of CI/CD, Infrastructure as Code (IaC), containerization, and cloud-native technologies.
  • AI, Cloud, DevOps, or Security certifications preferred.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.

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About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004

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