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

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. 

• 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

• 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

• Location: Hybrid in Columbus (2-3 days/week in-office)
• Compensation: $35-50/hour based on experience
• Schedule: Flexible part-time or work-study arrangements
• Duration: Minimum 12 weeks, potential for extension/conversion

To Apply
Email resume, GitHub, and brief note to careers@humansignal.com including:

• A technical challenge you've solved with data or workflows
• Your availability and preferred start date

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.