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Remote Python Trainer Jobs in Arlington, TX (NOW HIRING)

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI ... Python * TensorFlow * PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering * Model ...

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI ... Python TensorFlow PyTorch Scikit-learn Data Preprocessing & Feature Engineering Model Training ...

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 ...

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 ...

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 ...

Showing results 41-60

Remote Python Trainer information

See Arlington, TX salary details

$11

$52

$77

How much do remote python trainer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote python trainer in Arlington, TX is $52.76, according to ZipRecruiter salary data. Most workers in this role earn between $43.46 and $59.90 per hour, depending on experience, location, and employer.

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.

What job categories do people searching Remote Python Trainer jobs in Arlington, TX look for?

The top searched job categories for Remote Python Trainer jobs in Arlington, TX are:

What cities near Arlington, TX are hiring for Remote Python Trainer jobs?

Cities near Arlington, TX with the most Remote Python Trainer job openings:

AI Training Specialist - Cheminformatics

micro1 AI

Carrollton, TX • Remote

$80 - $110/hr

Part-time

Posted 16 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.