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Remote Python Trainer Jobs in Charlotte, NC (NOW HIRING)

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 ...

Data & AWS DevSecOps (100% Remote)

Alexis, NC · On-site +1

$59.75 - $76.75/hr

Experience with Python, SQL and databases , as well as Big Data technologies and ecosystems ... Career development and professional growth , with access to training, certifications and annual ...

... Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow ... They should be comfortable selecting the right algorithms, preparing and analyzing data, training ...

BI Reports Developer

Charlotte, NC · Remote

$80K - $95K/hr

Remote Department: Product Development Reports To: Director of Analytics Engineering Compensation ... Comprehensive paid training Medical, dental, and vision insurance HSA and FSA available 401(k) with ...

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Remote Python Trainer information

See Charlotte, NC salary details

$12

$57

$84

How much do remote python trainer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote python trainer in Charlotte, NC is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.05 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 are the most commonly searched types of Python Trainer jobs in Charlotte, NC?

The most popular types of Python Trainer jobs in Charlotte, NC are:

What are popular job titles related to Remote Python Trainer jobs in Charlotte, NC?

For Remote Python Trainer jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Remote Python Trainer jobs in Charlotte, NC look for?

The top searched job categories for Remote Python Trainer jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Remote Python Trainer jobs?

Cities near Charlotte, NC with the most Remote Python Trainer job openings:

Infographic showing various Remote Python Trainer job openings in Charlotte, NC as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,093 per year, or $57.3 per hour.

SS Hackathon - AI Developer / AI Engineer

NEOGOV - Test

Concord, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 days ago


Job description

Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to solve complex problems and transform industries. We are seeking a talented AI Developer to join our dynamic team and help us create intelligent, scalable solutions that drive business impact. Example of Duties Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.

Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training. Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs. Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.

Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions. Typical Qualifications Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role. Programming Proficiency:Strong coding skills in Python, Java, R, and/or C++. AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.

Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture. Problem-Solving:Excellent analytical and problem-solving skills with attention to detail. Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.

Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow). Knowledge of big data technologies such as Hadoop or Spark. Benefits Competitive salary and compensation package

Comprehensive health, dental, and vision insurance. [401(k) matching or retirement plan]. Flexible work environment/remote options.

Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).