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Forward Deployed Engineer

💼 Full-time🗓 2026-07-25

Core

Operate as a technical cofounder delivering data strategies and pipelines for frontier AI labs to support model evals, supervised finetuning, and reinforcement learning.

Role type

Forward Deployed Engineer (Technical Cofounder)

Builds

Scalable human data pipelines and data processing workflows for AI model training and evaluation.

Domain

Artificial Intelligence / Machine Learning / Data Engineering

Deliverable

production ML models

Required skills

Python, data analysis, LLM project leadership, data strategy definition, pipeline design, code optimization, project management

Preferred skills

entrepreneurial mindset, high agency, bias for action, communication of complex technical concepts

Technologies

Python

Responsibilities

Work directly with advanced AI labs to define and refine data strategies; Build scalable, high-quality data pipelines; Write Python scripts for data processing and quality analysis; Define engineering requirements to improve human data tools and workflows.

Seniority

Mid-level, hands-on IC

Rewrite
## About the role Get an inside look and hear directly from our current Forward Deployed Engineers here! 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. ## Responsibilities - 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. ## Requirements - 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. ## About the company 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 human data—directly contributing to the critical human element in advancing artificial intelligence.
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