1

Ai Coding Trainer Jobs in Georgia (NOW HIRING)

PB Coding Coordinator

Atlanta, GA · 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 ...

Medical Coder - Remote

Atlanta, GA · Remote

$50 - $80/hr

Collaborate with project teams through written and verbal communication to improve AI training data quality. Required Skills * Medical Coding * ICD-10 * CPT * CPC Certification * Evaluation ...

Product Developer, Sr

Dublin, GA · Hybrid

$46.50 - $61.50/hr

Leverage AI-assisted development practices to improve software delivery speed, code quality ... Mentor developers through technical guidance, documentation, training, and knowledge-sharing ...

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 ...

You will use AI tools such as Claude Code, Codex, OpenCode, and Gemini CLI daily to write, review ... Mentor IT Applications Specialists through knowledge transfer, cross-training, and centralized ...

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 ...

Familiarity with AI coding assistants and modern developer productivity tools. * Passion for ... Through our training courses, mentorship, and continuous support, you'll get everything you need to ...

Paid from day one - including all six weeks of AI engineering training and certification * $95,000 ... Set patterns other engineers follow: reference implementations, coding standards, review practices

New

Alongside training delivery, you'll support the design and implementation of custom AI solutions ... Familiarity with AI-assisted coding tools such as GitHub Copilot is a strong plus * Working ...

Showing results 21-40

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 Georgia?

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

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

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

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

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

Infographic showing various Ai Coding Trainer job openings in Georgia as of August 2026, with employment types broken down into 76% Full Time, 17% Part Time, and 7% Contract. Highlights an 100% In-person job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Sandy Springs, GA • Remote

$80 - $110/hr

Part-time

Posted 18 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.