Explore 150+ python software engineer jobs from 38 hiring companies in Pataskala, OH, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Software Engineer Jobs

American Chemical Society

HumanSignal

Hybrid

Onsite

<div class="content-intro">The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product,&nbsp;Label Studio, has become the&nbsp;de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.&nbsp;
Label Studio Enterprise&nbsp;builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.</div>Software Engineering Intern - AI Data Operations HumanSignal | Columbus, Ohio | Hybrid | Spring/Summer 2026
About Us HumanSignal builds Label Studio Enterprise, the data annotation platform trusted by Fortune 500 companies including Apple. We're expanding our 400+ person Columbus facility and need engineering talent to build systems that power AI training pipelines.
What You'll Build
<ul>
<li>Full-stack web applications for crowdsourced data collection with quality control workflows</li>
<li>Admin dashboards with bulk operations, analytics, and workflow management</li>
<li>Data pipelines integrating Label Studio, AWS S3, and automated quality checks</li>
<li>JSON transformation systems processing thousands of annotation files for enterprise clients</li>
</ul>
Technical Skills (Strong in Several Required)
<ul>
<li>Frontend:&nbsp;React, TypeScript, responsive UI, state management</li>
<li>Backend:&nbsp;Python (data processing, APIs, automation), RESTful design</li>
<li>Data:&nbsp;Database design, JSON manipulation, multi-status workflows</li>
<li>Deployment:&nbsp;Vercel, serverless functions, CI/CD</li>
</ul>
Bonus:&nbsp;AWS S3, email integration, real-time updates, admin dashboards
Who You Are
<ul>
<li>Ohio State engineering student (CS, Software Engineering, Data Science, or related)</li>
<li>Can architect solutions and ship working code autonomously</li>
<li>Comfortable with full-stack development and data pipelines</li>
<li>Interested in AI infrastructure and training data systems</li>
</ul>
Details
<ul>
<li>Location:&nbsp;Hybrid in Columbus (2-3 days/week in-office)</li>
<li>Compensation:&nbsp;$35-50/hour based on experience</li>
<li>Schedule:&nbsp;Flexible part-time or work-study arrangements</li>
<li>Duration:&nbsp;Minimum 12 weeks, potential for extension/conversion</li>
</ul>
To Apply Email resume, GitHub, and brief note to careers@humansignal.com including:
<ul>
<li>A technical challenge you've solved with data or workflows</li>
<li>Your availability and preferred start date</li>
</ul>
HumanSignal is committed to building a diverse team. We encourage applications from candidates of all backgrounds. We're moving fast—strong candidates will be interviewed on a rolling basis.
&nbsp;

HumanSignal | Columbus, Ohio | Hybrid | Spring/Summer 2026

Software Engineering Intern

Ohio State engineering student; experience with full-stack development (React/TypeScript, Python); data pipelines; JSON manipulation; REST APIs; familiarity with AWS S3 a bonus.

<h1>Chemical Abstracts Service (CAS)</h1>
BN31P2- Data Scientist CAS Columbus, OH
CAS uses unparalleled scientific content, specialized technology and unmatched human expertise to help R&D organizations across Commercial, Government and Academic sectors create groundbreaking innovations that benefit the world. As the Scientific Information Solutions Division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 111 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make actionable scientific insights accessible to innovators worldwide.
CAS is currently seeking a Data Scientist. This position will be located in our headquarters in Columbus, Ohio.
Job Summary:
This is an individual contributor role on the Data Analytics and Insights (DAI) team, which carries a dual mandate: build production-grade agentic AI solutions that power CAS products, and lead the company in product innovation through emerging AI capabilities. You will develop and deliver agentic AI features across CAS’s product suite, including SciFinder, BioFinder, and our cross-domain omni-agent platform, working alongside senior engineers, product managers, and scientific domain experts. This role emphasizes hands-on software development, agentic system design, and engineering quality. Success in this role requires strong programming fundamentals, a genuine interest in agentic AI, and a collaborative mindset oriented toward building reliable, production-grade systems. Because CAS’s AI systems serve scientists and must be grounded in deep scientific content, candidates who combine strong software engineering skills with formal training in a scientific discipline relevant to CAS’s customers (chemistry, life sciences, materials science, or related fields) bring a valuable perspective and will find real opportunities to apply both dimensions of their expertise.
Job Accountabilities:
<ul>
<li>Develop and deploy agent-based workflows, retrieval-augmented generation (RAG) pipelines, and LLM-powered features within CAS products using Python, LangGraph/LangChain, and related tools.</li>
<li>Deliver clean, tested, well-documented software following team engineering standards, including unit, integration, and end-to-end tests, containerized development, and CI/CD practices.</li>
<li>Work with product managers, scientific domain experts, and engineering teams to translate business and research requirements into working technical solutions.</li>
<li>Contribute to evaluation frameworks for GenAI systems, focusing on accuracy, reliability, and continuous improvement of agentic features.</li>
<li>Build and operate solutions on cloud infrastructure (AWS, Azure, GCP, or similar), supporting the production deployment and ongoing operations of AI systems.</li>
<li>Use agentic software development tools such as Claude Code as a core part of the daily workflow to accelerate delivery and maintain quality.</li>
<li>Contribute to DAI’s product innovation mandate by prototyping and evaluating emerging AI capabilities for potential integration into CAS offerings.</li>
<li>Stay current with advances in generative AI and agentic architectures, and share knowledge with the team through demos, documentation, and internal learning sessions.</li>
</ul>
Qualifications:
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative or scientific discipline, or equivalent practical experience.</li>
<li>2+ years of professional experience in software engineering, applied machine learning, or data science, with demonstrated delivery of working systems.</li>
<li>Hands-on experience building applications with large language models, including agentic workflows, RAG, prompt engineering, or similar patterns.</li>
<li>Strong Python programming skills with solid software engineering fundamentals (version control, testing, code review, documentation).</li>
<li>Experience with or strong interest in agentic AI frameworks such as LangGraph, LangChain, or equivalent platforms.</li>
<li>Proficiency with agentic software development tools (e.g., Claude Code or similar AI-assisted development environments).</li>
<li>Experience deploying and operating software in at least one cloud environment (AWS, Azure, or GCP).</li>
<li>Strong written and verbal communication skills, with the ability to work effectively in cross-functional teams.</li>
</ul>
Desired, But Not Required:
<ul>
<li>Formal training or a graduate degree in a scientific discipline relevant to CAS’s customer domains (chemistry, life sciences, materials science, or related fields), combined with strong software engineering skills. The ability to bridge scientific understanding and software development is one of the most valuable combinations a candidate can bring to this team, and candidates with this profile will be given strong consideration.</li>
<li>Graduate degree (M.S. or Ph.D.) in Computer Science, Engineering, Statistics, or a related field.</li>
<li>Experience with cloud AI/ML services and model hosting platforms.</li>
<li>Familiarity with containerized development workflows and API design.</li>
<li>Experience with evaluation frameworks for AI/ML systems, including accuracy, reliability, and cost optimization.</li>
</ul>
CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Disabled/Veteran

BN31P2-Data Scientist

Data Scientist

Bachelor's in CS/Engineering/Data Science or related field; 2+ years software/ML experience; Python; LLM/agentic AI exp; cloud deployment; strong communication.

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