Forward Deployed Engineer
LabelboxSan Francisco Bay AreaPosted 7 April 2026
Tech Stack
Job Description
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:
Enterprise Platform Tools : Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
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
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.
Technical Excellence : Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
Innovation at Speed : We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
Continuous Growth : Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
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.
Role Overview
Get an inside look and hear directly from our current Forward Deployed Engineers
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This role requires an entrepreneurial mindset. You will operate like a technical cofounder: with high agency, deep technical engagement, and a bias for action.
You will use a unique mix of engineering, product, and sales to deliver data on high stakes projects for leading frontier AI labs. You will work with human data teams or AI researchers in customer organizations to produce the best datasets for model evals, supervised finetuning, or ground truth data for advanced and emerging reinforcement learning techniques.
Your Impact
Understand the Data Needs of AI Leaders : Work directly with the most advanced AI labs to define and refine data strategies.
Design and Operate Human Data Pipelines : Build scalable, high-quality data pipelines to power next-gen AI.
Develop and Optimize Code : Write Python scripts for data processing and quality analysis.
Shape the Future of AI Infrastructure : Define engineering requirements to improve human data tools and workflows.
What You Bring
Master’s degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.
2+ years of professional experience in a related field.
Proficiency in Python and data analysis.
Prior experience leading LLM projects.
Exceptional communication skills: ability to convey complex technical concepts clearly.
Strong project management and organizational skills.
Passion for AI and the intersection of technology, product, and customer needs.
Alignerr Services at Labelbox
As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers, which include the majority of leading AI labs and AI disruptors, achieve breakthrough AI capabilities through precisely aligned ... (truncated, view full listing at source)
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