
Job Overview
Location
Washington D.C.
Job Type
Full-time
Category
Software Engineering
Date Posted
April 21, 2026
Full Job Description
📋 Description
- • As an Engineering Fellow at 10A Labs Inc., you will apply your technical skills to support high-impact research problems at the intersection of applied research and practical engineering, contributing to safety and threat-intelligence solutions for frontier AI labs and global technology platforms.
- • Day to day, you will collaborate with engineers on real projects including client-facing products and in-house tooling, assist with researching experiment design and automation for abuse detection or red teaming of AI systems, ideate new research approaches in Trust & Safety and AI Security, and support other critical initiatives.
- • 10A Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms, enabling engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.
- • In this role, you can specialize in Software Engineering, Data Engineering, or Machine Learning concentrations, gaining hands-on experience in deploying models, building cloud infrastructure, processing diverse data sources, designing visualizations, or developing agentic systems, while exploring novel methods and generating insights in AI safety and security.
🎯 Requirements
- • Strong academic background and quantitative foundation demonstrated through applied coursework, research, or hands-on experience
- • Strong Python background
- • Clear communicator of technical concepts for non-technical audiences
🏖️ Benefits
- • Flexible start / end dates
- • Remote work (based in the continental U.S.)
- • Flexible schedule, up to 20 hours per week (negotiable)
- • Hourly pay commensurate with experience and qualifications, ranging from $30/hour for undergraduates to $125/hour for tenure-track academics
Skills & Technologies
About 10A Labs Inc.
10A Labs builds AI-native software for manufacturing and industrial companies. The platform ingests factory data, applies machine-learning models, and delivers real-time analytics to predict equipment failures, optimize throughput, and reduce energy usage. Engineers receive alerts and prescriptive recommendations through web and mobile interfaces. The company focuses on mid-size discrete manufacturers that lack in-house data-science teams and need turnkey, secure solutions that integrate with legacy PLCs, MES, and ERP systems without disrupting production lines.
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