Ironsite Ai

Ironsite Ai

Internship (2026)

San Francisco, USA · Intern · Internship

Sponsorship not specifiedDetected 148 days ago
Research

About the role

  • Depending on your strengths and/or interests, you may work on: AI & Research: Training and evaluating vision-language models on real-world construction data Full-Stack Engineering: Developing product features across frontend and backend systems for customers and internal tooling Infrastructure: Deploying configs from research to production, or improving upload capacity What You Might Build • Model evaluation pipelines for spatial intelligence across object permanence, understanding, and temporal segmentation • Dashboards that give field supervisors visibility into every device deployed across a jobsite • Internal labeling tools used by hundreds of human taggers to annotate the world's largest first-person construction dataset • Video encoding frameworks that improve starlink capacity What We're Looking For Currently pursuing a degree in Computer Science, Math, Engineering, AI/ML, or a related field Strong programming skills Python for AI & Research JS/TypeScript for Full-Stack Engineering Systems Programming Languages - C, C++, Rust, etc for Infrastructure Experience with at least one of: Vision Language Models (VLMs) Full-stack or backend development Data systems, ML infrastructure, Networking Curious, scrappy, and excited to build in the real world Location & Compensation San Francisco Bay Area (on-site) Competitive salary Daily meals & commuter benefits Full benefits including health, dental, vision

Responsibilities

  • As an Intern on the software team at Ironsite, you'll work directly with our engineering and research teams to build real systems that ship to production this summer.
  • The Role As an Intern on the software team at Ironsite, you'll work directly with our engineering and research teams to build real systems that ship to production this summer.

Compensation

  • About Ironsite Construction is one of the most complex and labor-intensive industries, spending $7 trillion annually on labor, but productivity losses cost $1.6 trillion per year due to outdated management tools.

Benefits

  • Training and evaluating vision-language models on real-world construction data
  • Ironsite leverages wearable cameras combined with human labeling and AI vision language models to drive on-site productivity, safety & training for crafts workers.

Company info

  • Developing product features across frontend and backend systems for customers and internal tooling

This listing is sourced directly from Ironsite Ai's careers page and normalized into a canonical job model.