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Remote Coding Training Jobs in Las Vegas, NV (NOW HIRING)

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Remote Coding Training information

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How much do remote coding training jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for remote coding training in Las Vegas, NV is $20.54, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $21.83 per hour, depending on experience, location, and employer.

What is the difference between Remote Coding Training vs Remote Web Developer?

AspectRemote Coding TrainingRemote Web Developer
Required CredentialsNone or beginner-friendly certificationsProficiency in coding languages, portfolio, possibly certifications
Work EnvironmentOnline courses, self-paced learning, virtual classroomsRemote work for companies, freelance projects, client sites
Industry UsageTraining programs, educational platforms, bootcampsTech companies, startups, freelance web development
Search & Comparison IntentLearning pathways, beginner training, coding coursesJob opportunities, remote work options, skill requirements

Remote Coding Training focuses on teaching foundational coding skills through online courses and bootcamps, preparing learners for roles like remote web development. In contrast, a Remote Web Developer applies those skills in real-world projects, working for companies or clients remotely. While training provides the knowledge, web development involves practical application and job execution.

What are the most commonly searched types of Coding Training jobs in Las Vegas, NV?

The most popular types of Coding Training jobs in Las Vegas, NV are:

What job categories do people searching Remote Coding Training jobs in Las Vegas, NV look for?

The top searched job categories for Remote Coding Training jobs in Las Vegas, NV are:

Infographic showing various Remote Coding Training job openings in Las Vegas, NV as of August 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $42,715 per year, or $20.5 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Las Vegas, NV • Remote

$80 - $110/hr

Part-time

Posted 21 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.