engineering
Posted May 1Forward Deployed Engineer Intern
at Labelbox
Hybrid
Responsibilities
- Write scripts to process, transform, and analyze data for client deliverables.
- Build automated quality checks and serve as a second set of eyes on the data we ship.
- Drive your work forward without needing daily check-ins. Proactively share progress, flag blockers, and ask for input when you need it. What we're looking for
Requirements
- Shape the Future of AI
- At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises.
- Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox
- We're the only company offering three integrated solutions for frontier AI development:
- Frontier Data Labeling Service : Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
- Expert Marketplace : Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us
- Technical Excellence : Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
- Continuous Growth : Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
- As a Forward Deployed Engineer Intern, you will work alongside a senior FDE on real client engagements with leading AI labs.
- If you do well, you will see your work translate directly into how frontier AI models are trained and evaluated. About Labelbox
- Labelbox builds the data infrastructure behind frontier AI development.
- The Frontier AI team you will be joining sits at the intersection of engineering and applied research, working directly with AI lab partners on some of the most demanding data problems in the industry. What you'll do
- Strong Python skills, especially for data work. You should be comfortable picking up a messy dataset and figuring out what is in it.
- Familiarity with LLMs from hands-on experience, not just coursework. You have built something with them and have iterated on prompts to make them do what you want.
- Currently pursuing a Bachelor's or Master's in Computer Science, Engineering, Mathematics, or a related technical field.
- Genuinely curious about AI and how frontier models are built.
- As AI models become more sophisticated, the need for high-quality, specialized training data will only grow.
- Join us in developing new products and services that enable the next generation of AI breakthroughs.
- Our customers include Fortune 500 enterprises and leading AI labs.
Benefits
- You will work with people who care about getting the technical details right and who will give you the room to do the same. Compensation
- This is a paid internship with an hourly rate of $50-$70 per hour. Life at Labelbox
- Vision : Be part of building the foundation for humanity's most transformative technology Our Vision
Contact
- Any emails from Labelbox team members will originate from a @labelbox.com email address.
Additional details
- Enterprise Platform & Tools : Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
- High-Impact Environment : We operate like an early-stage startup, focusing on impact over process. You'll take on expanded
- responsibilities quickly, with career growth directly tied to your contributions.
- Innovation at Speed : We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
- Clear Ownership : You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. About the role
- You will own concrete pieces of those engagements - writing scripts to process and analyze data, building automated quality checks, and helping validate that the data we deliver is good enough to ship.
- The work is hands-on, fast-paced, and rarely arrives with a complete spec.
- You will be expected to take ownership of your projects, work through ambiguity with your manager, and ship work that real clients depend on.
- We work with leading research labs and enterprises to produce the high-quality datasets used for evaluation, supervised fine-tuning, and reinforcement learning.
- Work alongside a senior FDE on live client engagements, owning specific workstreams end-to-end.