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Python Intern Jobs in Ohio (NOW HIRING)

ArtiFlex Manufacturing

AI Co-Op

Wooster, OH

The intern will work closely with engineering and business stakeholders to design, develop, and ... Strong programming skills in Python, SQL, and C / C++ * Experience working with large datasets and ...

Dynamics ATS Organic

Physicist Intern

Fairborn, OH

Position Overview STI-TEC is seeking a dedicated and enthusiastic Intern in Physics to join our ... Familiarity with computational modeling and simulation tools (e.g., MATLAB, Python). * Excellent ...

Nlign Analytics, Inc

AI/ML Engineer Co-Op

Blue Ash, OH · On-site

$15.50 - $20/hr

NLign has a long history of working with co-op and intern students to help them achieve their ... Experience with Python Preferred Qualification: * Experience with Software Development Lifecycle.

NLign Analytics

AI/ML Engineer Co-Op

Cincinnati, OH · On-site +1

$16 - $21/hr

NLign has a long history of working with co-op and intern students to help them achieve their ... Experience with Python Preferred Qualification: * Experience with Software Development Lifecycle.

Aivra Health LLC

$80K - $100K/yr

The intern will work closely with senior developers to build APIs, develop backend services ... Develop and maintain backend applications using Python * Build and consume RESTful APIs * Write ...

Danaher

Software Engineer Internships

Columbus, OH

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ...

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Python Intern information

See Ohio salary details

$7

$36

$77

How much do python intern jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python intern in Ohio is $36.52, according to ZipRecruiter salary data. Most workers in this role earn between $14.06 and $57.13 per hour, depending on experience, location, and employer.

What is the difference between Python Intern vs Python Developer?

AspectPython InternPython Developer
Required CredentialsTypically pursuing or recently completed a degree in computer science or related fieldProven experience, often with a degree or equivalent in computer science or related field
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time roles, independent project work, team collaboration
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, software companies, enterprise environments
Common Search & ComparisonEntry-level, learning, internship opportunitiesProfessional, full-time employment, career growth

The main difference between a Python Intern and a Python Developer lies in experience and responsibilities. Interns are usually students or recent graduates gaining initial exposure, working under supervision. Developers are experienced professionals responsible for designing, coding, and maintaining software solutions independently. Internships serve as a stepping stone toward becoming a full-fledged Python Developer.

What types of projects can a Python Intern expect to work on during their internship?

As a Python Intern, you will typically be involved in supporting ongoing development projects, such as building automation scripts, data analysis tools, or assisting with backend web development. Interns often collaborate with software engineers, data scientists, or QA teams to contribute code, debug issues, and participate in code reviews. The scope of projects may vary by company, but most internships provide hands-on experience with real codebases, exposure to version control systems like Git, and opportunities to learn best practices from experienced mentors.

What does a Python Intern do?

A Python Intern typically assists in developing, testing, and maintaining software applications using the Python programming language. They may work on tasks such as writing scripts, debugging code, automating processes, and collaborating with team members on various projects. Interns often gain hands-on experience with frameworks, libraries, and tools commonly used in Python development. The role is designed to help them build practical skills and prepare for a full-time career in software engineering.

What are the key skills and qualifications needed to thrive as a Python Intern, and why are they important?

To thrive as a Python Intern, you need a solid understanding of Python programming fundamentals, problem-solving ability, and typically a background in computer science or related coursework. Familiarity with version control systems like Git, basic knowledge of frameworks such as Django or Flask, and experience using code editors or IDEs are common technical requirements. Initiative, willingness to learn, and effective communication help interns stand out by enabling collaboration and adaptability in team environments. These skills ensure that interns can contribute effectively to projects, learn quickly, and integrate smoothly into professional development workflows.
What are the most commonly searched types of Python jobs in Ohio? The most popular types of Python jobs in Ohio are:
What cities in Ohio are hiring for Python Intern jobs? Cities in Ohio with the most Python Intern job openings:
Python Intern jobs near you
Infographic showing various Python Intern job openings in Ohio as of June 2026, with employment types broken down into 12% Internship, 50% Full Time, 26% Part Time, 2% Temporary, and 10% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $75,964 per year, or $36.5 per hour.
AI Co-Op

AI Co-Op

ArtiFlex Manufacturing

Wooster, OH

Full-time

Posted 25 days ago

ArtiFlex Manufacturing rating

7.9

Company rating: 7.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

AI Co-Op
General Description:
Artiflex Manufacturing is seeking a highly motivated Technology Intern with a strong foundation in AI, data engineering, and modern software development to support real-world manufacturing, quality, and operations use cases. This role offers hands-on exposure to building, deploying, and scaling AI-driven applications using enterprise data.
The intern will work closely with engineering and business stakeholders to design, develop, and deploy data- and AI-powered solutions that improve operational efficiency, quality analytics, and decision-making across the organization.
Responsibilities:
  • Design, develop, and maintain AI and data-driven applications for manufacturing, quality, and operational analytics
  • Work with large-scale datasets stored in SQL Server and cloud data platforms
  • Build and optimize machine learning and Generative AI solutions, including RAG (Retrieval-Augmented Generation) systems
  • Develop and deploy AI models and AI-powered applications into production environments
  • Collaborate on data pipelines, ETL/ELT workflows, and analytics solutions (Databricks preferred)
  • Contribute innovative ideas to solve complex, real-world manufacturing problems
  • Follow Artiflex Code of Behaviors, engineering standards, and best practices
  • Participate in code reviews, debugging, testing, and performance optimization
  • Communicate clearly with technical and non-technical stakeholders
Required Qualifications
  • Prior internship experience or minimum 1 year of relevant work experience
  • Currently pursuing or recently completed a Master’s degree in Computer Science, Data Science, Information Technology, or Artificial Intelligence / Machine Learning (preferred)
  • Strong programming skills in Python, SQL, and C / C++
  • Experience working with large datasets and relational databases (SQL Server preferred)
  • Strong understanding of modern AI trends, especially Generative AI
  • Proven ability to think critically, solve problems quickly, and work independently
  • Excellent communication and collaboration skills
  • Familiarity with modern cloud-based data and AI platforms is preferred but not mandatory, such as:
  • Lakehouse platforms (Databricks or Snowflake)
  • AWS (S3, Glue, Athena, Redshift, SageMaker)
  • Google Cloud Platform (BigQuery, Vertex AI, Cloud Storage)
  • Azure (preferred) (Azure Data Lake, Synapse, Azure ML)
Preferred Qualifications
  • Hands-on experience developing AI/ML models, applications, and deploying them to production
  • Strong experience with RAG systems, vector databases, and embedding-based search
  • Experience building, fine-tuning, or evaluating LLMs
  • Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, OpenAI, etc.)
  • Experience using CLI tools, Git workflows, and CI/CD pipelines
  • Experience working on large, collaborative development teams
  • Exposure to cutting-edge web technologies and AI-enabled applications
  • Experience with UX/UI principles, design-centric approaches, and building engaging user interfaces
What You’ll Gain
  • Real-world experience applying AI and data engineering in manufacturing and enterprise environments
  • Hands-on exposure to production-grade AI systems
  • Opportunity to contribute directly to AI initiatives that impact operations and decision-making

Apply