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Ai Coding Trainer Jobs (NOW HIRING)

No prior AI training experience is required. Key Responsibilities * Provide expert analysis and feedback on GIS and geospatial challenges. * Document technical workflows using Python and AI coding ...

SmarterDx is transforming how health systems use clinical AI to capture the full value of patient ... Participate in ongoing training and professional development to stay current on documentation and ...

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 ...

Experience with AI coding assistants , prompt engineering, or agent workflows. * Past experience in AI training , model evaluation, or benchmark/task authoring. Resources & Support * For details ...

NY · On-site

$155 - $215/hr

... training, and leadership teamsFoster a community of AI coding tool champions and encourage cross-team knowledge sharingCreate Enablement ContentGuides, FAQs, playbooks, demo scripts, workshop ...

New

AI Software Developer

Raleigh, NC · On-site

$100 - $130/hr

Plan and decompose work for AI coding agents, then review, correct, and integrate what they produce ... Hands‑on experience building, training, evaluating, and deploying machine‑learning / AI models ...

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 ...

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Ai Coding Trainer information

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How much do ai coding trainer jobs pay per hour?

As of Aug 20, 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?

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.

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Infographic showing various Ai Coding Trainer job openings in the United States as of August 2026, with employment types broken down into 20% Full Time, 20% Part Time, and 60% Contract. Highlights an 100% In-person job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

DevOps Engineer - AI Model Evaluator - AI Trainer

Mercor

San Francisco, CA • Remote

$85/hr

Full-time

Re-posted 4 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
  • Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation.
  • Identify bugs, edge cases, reliability issues, and failure modes.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic infrastructure engineering scenarios.
  • Work independently and asynchronously to meet sprint-based project deadlines.

Qualifications

Must-Have

  • 2+ years of professional DevOps, SRE, or Cloud Engineering experience.
  • Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated infrastructure and reliability engineering solutions.

Preferred

  • Experience supporting production-scale systems.

Compensation & Legal

  • $400 per accepted task.
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor