HumanSignal | Columbus, Ohio | Hybrid | Spring/Summer 2026
About The Position
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, Label Studio , has become the 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. Label Studio Enterprise 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. 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.
Requirements
- Frontend: React, TypeScript, responsive UI, state management
- Backend: Python (data processing, APIs, automation), RESTful design
- Data: Database design, JSON manipulation, multi-status workflows
- Deployment: Vercel, serverless functions, CI/CD
- Ohio State engineering student (CS, Software Engineering, Data Science, or related)
- Can architect solutions and ship working code autonomously
- Comfortable with full-stack development and data pipelines
- Interested in AI infrastructure and training data systems
Nice To Haves
- AWS S3
- email integration
- real-time updates
- admin dashboards
Responsibilities
- Full-stack web applications for crowdsourced data collection with quality control workflows
- Admin dashboards with bulk operations, analytics, and workflow management
- Data pipelines integrating Label Studio, AWS S3, and automated quality checks
- JSON transformation systems processing thousands of annotation files for enterprise clients
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What This Job Offers
Job Type
Part-time
Career Level
Intern
Education Level
No Education Listed
