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Ai Coding Trainer Jobs in Nevada (NOW HIRING)

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 ...

AI Builder - Liberty (Reno)

Reno, NV

$20.50 - $26.50/hr

When you join our herd, we invest in your personal and professional growth with paid training ... You write enterprise-grade code using AI and have a process for doing it well. You know where AI ...

AI Builder - Liberty (Reno)

Reno, NV · On-site

$20.50 - $26.50/hr

When you join our herd, we invest in your personal and professional growth with paid training ... You write enterprise-grade code using AI and have a process for doing it well. You know where AI ...

AI Builder - Liberty (Reno)

Reno, NV · On-site

$20.50 - $26.50/hr

When you join our herd, we invest in your personal and professional growth with paid training ... code using AI and have a process for doing it well. You know where AI-generated work fails ...

... code of conduct, and independence requirements. The Opportunity As part of the People Tech & AI ... specialized training and/or progressively responsible work experience in technology for each ...

... Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and ... training, and deploying machine learning models - Developing scalable, cloud-native microservices ...

ERP AI Engineer - Manager

Las Vegas, NV · On-site

$99K - $232K/yr

These individuals analyse client needs, implement software solutions, and provide training and ... Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and ...

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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 Nevada as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Las Vegas, NV • Remote

$80 - $110/hr

Part-time

Posted 10 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.