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Ai Coding Trainer Jobs in Tennessee (NOW HIRING)

AMC Health

Senior Software Engineer Applied AI

Nashville, TN · On-site

$118K - $156K/yr

End-to-end ML pipelines: feature engineering, model training, and scheduled inference * Imbalanced ... Infrastructure as code across multiple environments (we run on AWS) * Managed compute, data ...

New

Mercor

Risk Adjustment Expert - AI Trainer

Nashville, TN · Remote

$110/hr

Lead risk adjustment and HCC coding operations across Medicare Advantage , Medicaid , and ACA risk adjustment programs. * Evaluate AI-generated HCC coding assignments and risk adjustment ...

Posted today

Intermountain Health

PB Coding Coordinator

Nashville, TN · On-site

$31.01 - $48.84/hr

Provides education/training for medical providers and coders within the department. * Performs ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

Datavant

Profee Coding Consultant - PRN

Nashville, TN · On-site

$20 - $28/hr

From fulfilling a single patient's request for their medical records to powering the AI revolution ... Comprehensive training led by a credentialed professional coding manager * Exceptional service ...

Covenant Health

AI SPECIALIST

Knoxville, TN · On-site

$15.50 - $20.50/hr

... coding models is preferred. This position will also require some minor rotational on-call after ... Provides technical guidance and training to staff on AI tools, concepts and best practices.

Covenant Health

AI SPECIALIST

Knoxville, TN · On-site

$15.50 - $20.50/hr

... coding models is preferred. This position will also require some minor rotational on-call after ... Provides technical guidance and training to staff on AI tools, concepts and best practices.

NxT Level

Vice President of AI

Nashville, TN · On-site

Build or configure AI-powered applications using tools such as OpenAI, Copilot, or other low-code ... Build foundational AI literacy across departments through training and enablement sessions

NxT Level

Vice President of AI

Nashville, TN · On-site +1

Build or configure AI-powered applications using tools such as OpenAI, Copilot, or other low-code ... Build foundational AI literacy across departments through training and enablement sessions

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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.

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Infographic showing various Ai Coding Trainer job openings in Tennessee as of August 2026, with employment types broken down into 76% Full Time, 16% Part Time, and 8% Contract. Highlights an 100% In-person job distribution.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Nashville, TN • On-site

$140 - $190/hr

Other

Re-posted 6 days ago

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real‑time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you’ll work across
  • Streaming, low‑latency speech‑to‑speech systems built on modern LLMs
  • Telephony and real‑time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency‑sensitive path, where p99 matters and a stall is something a caller hears
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi‑model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM‑as‑judge and automated agent‑tests‑agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (non‑LLM) machine learning
  • End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real‑world data; calibration and explainability for non‑technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines
Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least‑privilege access, strict data‑handling discipline
  • Observability and telemetry‑driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

Occasional full‑stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you’ll actually do
  • Ship and debug code on a live, real‑time voice pipeline where latency and correctness are user‑facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch‑analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor
Must‑haves
  • 7+ years building and operating production backend systems, with strong general‑purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands‑on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data
Nice‑to‑haves
  • Real‑time media or telephony experience
  • Front‑end / full‑stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)
How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

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