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Freelance Ai Coding Trainer Jobs in Spring, TX (NOW HIRING)

YO AI Labs

Medical Coder - Remote

Houston, TX · 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 ...

Apex Systems

Software Engineer

Houston, TX · On-site

Utilize AI-assisted development tools for code comprehension, translation, test generation, and ... We offer quality career resources, training, certifications, development opportunities, and a ...

Salesforce, Inc.

Technical Architect 8

Houston, TX · On-site +1

$63.25 - $76.50/hr

Comfortable using AI coding tools (Copilot, Cursor, Claude Code, or similar) to build prototypes ... Experience designing or operating ML workflows : training, experimentation, deployment, and ...

Apex Systems

Senior Software Engineer

Houston, TX · On-site

$117K - $154K/yr

Utilize and guide AI-powered development tools (e.g., Claude Code, Windsurf, Devin agents, AWS Kiro ... We offer quality career resources, training, certifications, development opportunities, and a ...

Axiom Space

Corporate Software Developer

Houston, TX · On-site

Leverage AI-powered development tools (such as AI coding assistants and large language models) to ... training and awareness programs. * Participate in architectural discussions and contribute to ...

Axiomspace

Corporate Software Developer

Houston, TX

Leverage AI-powered development tools (such as AI coding assistants and large language models) to ... training and awareness programs. * Participate in architectural discussions and contribute to ...

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All JobsAi Coding Trainer JobsFreelance Ai Coding Trainer JobsFreelance Ai Coding Trainer Jobs in Spring, TX

Freelance Ai Coding Trainer information

See Spring, TX salary details

$11

$27

$56

How much do freelance ai coding trainer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for freelance ai coding trainer in Spring, TX is $27.80, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $31.68 per hour, depending on experience, location, and employer.

What is the difference between Freelance Ai Coding Trainer vs Freelance Data Science Coach?

AspectFreelance Ai Coding TrainerFreelance Data Science Coach
CredentialsKnowledge of AI coding, programming languages, and AI frameworksExpertise in data analysis, statistics, and data science tools
Work EnvironmentRemote or on-site training sessions, online platformsRemote coaching, workshops, online consulting
Employer & IndustryTech companies, educational platforms, startupsConsulting firms, educational institutions, tech companies
Search & Comparison IntentPeople seeking AI coding training or tutoringIndividuals or organizations looking for data science coaching

While both roles involve teaching technical skills, a Freelance Ai Coding Trainer specializes in AI programming and coding, whereas a Freelance Data Science Coach focuses on data analysis and interpretation. Both are in high demand in tech and education sectors, but they target different skill sets and client needs.

What are the key skills and qualifications needed to thrive as a freelance AI coding trainer, and why are they important?

To thrive as a Freelance AI Coding Trainer, you need deep knowledge of AI concepts, programming languages (such as Python), and hands-on experience with machine learning frameworks, often supported by a degree in computer science or related certifications. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and online teaching platforms is essential. Exceptional communication, adaptability, and the ability to simplify complex topics are crucial soft skills for engaging and instructing diverse learners. These competencies ensure effective knowledge transfer, learner success, and a strong reputation in the rapidly evolving AI education field.

How do freelance AI coding trainers typically structure their sessions to maximize learning outcomes for diverse clients?

Freelance AI Coding Trainers often tailor their session structure based on the client's experience level, project goals, and preferred learning style. They may begin with a brief assessment or discussion to identify knowledge gaps, followed by a mix of hands-on coding exercises, real-world case studies, and interactive Q&A. Flexibility is key—trainers adapt pacing and content, provide personalized feedback, and use collaborative tools to track progress. This approach helps ensure each client receives targeted instruction while developing practical AI coding skills.

What is a freelance AI coding trainer?

A Freelance AI Coding Trainer is an independent professional who teaches individuals or groups how to code and develop applications in the field of artificial intelligence. They often design custom curriculums, deliver live or recorded lessons, and provide hands-on guidance in programming languages and AI frameworks such as Python, TensorFlow, or PyTorch. These trainers may work with students, professionals, or companies seeking to build or enhance their AI skills. Their freelance status means they are self-employed and may work with multiple clients or organizations on a contract basis.

What are the most commonly searched types of Ai Coding Trainer jobs in Spring, TX?

The most popular types of Ai Coding Trainer jobs in Spring, TX are:

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Freelance Ai Coding Trainer jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

Pasadena, TX • Remote

$80 - $110/hr

Part-time

Posted 14 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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