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Remote Ai Coding Trainer Jobs in Tennessee (NOW HIRING)

Mercor

Medical Doctor - AI Trainer

Nashville, TN · Remote

$90 - $100/hr

Remote Commitment: 10 hours/week Role Responsibilities * Review and evaluate written content and AI ... Prior teaching or training experience * Comfortable using everyday AI tools (e.g., ChatGPT ...

Belle, LLC

Senior Product Engineer

Nashville, TN · Remote

As these issues arise, a team of remote nurses coordinate care with other healthcare providers ... Set the standard for how the team uses AI coding tools to ship faster without sacrificing quality

Belle, LLC

Senior Product Engineer

Nashville, TN · On-site +1

As these issues arise, a team of remote nurses coordinate care with other healthcare providers ... Set the standard for how the team uses AI coding tools to ship faster without sacrificing quality

micro1 AI

AI Training Specialist - Chemistry

Memphis, TN · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

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Remote Ai Coding Trainer information

What is a remote AI coding trainer?

A Remote AI Coding Trainer is a professional who teaches individuals or groups how to code artificial intelligence (AI) systems, typically through online platforms. They create lesson plans, provide coding exercises, and guide students in understanding AI concepts such as machine learning, neural networks, and data analysis. Working remotely, these trainers use video conferencing, online coding environments, and digital resources to deliver instruction and feedback. Their role is crucial in helping learners acquire in-demand AI skills while offering the flexibility of remote education.

What are the key skills and qualifications needed to thrive as a remote AI coding trainer?

To thrive as a Remote AI Coding Trainer, you need advanced knowledge of programming languages (such as Python), machine learning concepts, and a degree in computer science or a related field. Familiarity with online learning platforms, Jupyter Notebooks, version control systems like Git, and relevant AI frameworks (e.g., TensorFlow, PyTorch) is essential. Exceptional communication, patience, and the ability to simplify complex topics are critical soft skills for engaging and supporting remote learners. These skills and qualities enable trainers to effectively teach cutting-edge AI concepts, adapt to diverse student needs, and foster a productive virtual learning environment.

What are some common challenges faced by remote AI coding trainers, and how can they be addressed?

Remote AI Coding Trainers often encounter challenges such as maintaining student engagement in a virtual environment and adapting teaching methods to diverse learning styles. Effective communication and the use of interactive teaching tools are key to overcoming these hurdles. Additionally, trainers must stay updated with rapidly evolving AI technologies to provide relevant instruction. Building a supportive online community and providing regular feedback can help foster collaboration and ensure learner success.

What is the difference between Remote Ai Coding Trainer vs Remote Machine Learning Instructor?

AspectRemote Ai Coding TrainerRemote Machine Learning Instructor
Required CredentialsProgramming certifications, AI and coding knowledgeMachine learning certifications, AI and data science expertise
Work EnvironmentOnline training platforms, virtual classroomsOnline courses, webinars, virtual labs
Employer & Industry UsageEdTech companies, tech training firmsUniversities, online education providers
Search & Comparison IntentComparing roles in AI coding educationRoles in machine learning education and training

The Remote Ai Coding Trainer primarily focuses on teaching coding skills related to artificial intelligence, often emphasizing programming languages like Python and frameworks such as TensorFlow. The Remote Machine Learning Instructor specializes in teaching broader machine learning concepts, algorithms, and data science techniques. While both roles involve online instruction and AI-related content, the Ai Coding Trainer concentrates on coding implementation, whereas the Machine Learning Instructor covers theoretical and applied machine learning topics.

What are the most commonly searched types of Ai Coding Trainer jobs in Tennessee?

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

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

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

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

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

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Cities in Tennessee with the most Remote Ai Coding Trainer job openings:

Remote Ai Coding Trainer jobs near you

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Chattanooga, TN • 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.

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