10A Labs Inc. logo

Data Center Watch Fellow

Job Overview

Location

Washington D.C.

Job Type

Full-time

Category

Software Engineering

Date Posted

April 14, 2026

Full Job Description

đź“‹ Description

  • • The Data Center Watch Fellow at 10A Labs Inc. is a research-focused role dedicated to tracking political risks and local opposition to data center development across the U.S., contributing to the understanding of the evolving regulatory landscape for critical AI infrastructure.
  • • Day to day, the Fellow will conduct open-source and targeted research using social media, forums, and news outlets; analyze and summarize findings for stakeholders; explore emerging questions; collaborate on refining research methods; draft reports and presentation materials; support podcast development; and handle sensitive topics with professionalism and care.
  • • 10A Labs is a trusted safety and threat-intelligence layer for frontier AI labs, AI unicorns, Fortune 10 companies, and global technology platforms, providing adversarial red teaming, model evaluations, and intelligence collection to help engineering, safety, and security teams deploy AI systems securely.
  • • In this role, the Fellow will develop advanced research, analytical, and communication skills; gain deep expertise in critical infrastructure and the societal impacts of technology; learn to translate complex findings into actionable insights; and contribute meaningfully to AI safety and policy research in a high-impact, mission-driven environment.

Skills & Technologies

Python
Remote
Degree Required

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10A Labs Inc.
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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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