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Remote Python Trainer Jobs in Colorado (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Lakewood, CO · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ...

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All JobsPython Trainer JobsRemote Python Trainer JobsRemote Python Trainer Jobs in Colorado

Remote Python Trainer information

What is the difference between Remote Python Trainer vs Remote Data Scientist?

AspectRemote Python TrainerRemote Data Scientist
Required CredentialsPython certifications, teaching experienceStatistics, programming, Python, data analysis certifications
Work EnvironmentOnline training platforms, educational institutionsResearch organizations, tech companies, consulting firms
Employer & Industry UsageEducational, e-learning, corporate trainingTech, finance, healthcare, research
Search & Comparison IntentLearning, teaching, curriculum developmentData analysis, modeling, machine learning

While both roles require Python knowledge, Remote Python Trainers focus on teaching and curriculum development, often in educational or corporate settings. Remote Data Scientists analyze data, build models, and derive insights, typically working in research or tech industries. The roles overlap in Python skills but differ in their primary focus and work environment.

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Remote Python Trainer jobs near you
Infographic showing various Remote Python Trainer job openings in Colorado as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 5% In-person, and 95% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Arvada, CO • Remote

$90 - $120/hr

Part-time

Posted 22 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply