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AI Studio Coach- LLM Red Teaming

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: Break Through Tech
Remote/Work from Home position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Digital Media & Production
Salary/Wage Range or Industry Benchmark: 34 - 36 USD Hourly USD 34.00 36.00 HOUR
Job Description & How to Apply Below

LLM Red Teaming Coach

About Break Through Tech

Break Through Tech transforms how tech talent is discovered, developed, and connected to opportunity in the age of AI. Working across higher education and industry, Break Through Tech delivers programs nationwide and integrates technical training, work-based learning, mentorship, and career readiness with deep employer partnerships to create more effective and scalable routes into early tech careers. Break Through Tech is actively shaping the field of early tech talent development by identifying what works, translating those insights into replicable models, and helping define more consistent approaches to how talent is prepared, assessed, and hired across institutions and employers.

At a moment when AI is reshaping every aspect of work and society, Break Through Tech’s mission is urgent: to ensure that the people who build what comes next — and who are in the room where the most consequential technology decisions of our time get made — look like the world they will shape. Learn more about our work akthroughtech.org/.

Position

Summary

We are seeking subject matter experts to partner with Break Through Tech program staff to deliver a first-of-its-kind program for up to 500 undergraduate fellows enrolled in our flagship, extracurricular AI Program.

As LLM capabilities increase and societal and business risks become more apparent, foundation labs and enterprises are investing heavily in AI safety and security, creating fast-growing demand for ethical “red team” talent.

Break Through Tech’s new 16‑week LLM Red Teaming program will enable our fellows – who will have already completed a rigorous 9‑week Machine Learning Foundations course and a 3‑month AI project sponsored by an industry partner – to build the knowledge, mindset, and skills to ethically probe large language models for safety and security vulnerabilities.

With expert guidance and support from their Coaches, and within sanctioned platforms, fellows will red team frontier AI models using innovative jail breaking techniques across a variety of attack surfaces; build a personal portfolio of documented breaks; and compete in a red teaming competition.

Across 4 units – Red Teaming Foundations, Direct Prompt Injection, Indirect Prompt Injection, and Live Competition Prep – fellows will learn and apply the techniques that professional and amateur red teamers use in an ethical white hat capacity. Asynchronous coursework will be complemented by biweekly virtual events where fellows will practice and reflect individually and in teams of their peers.

LLM Red Teaming Coaches will be expected to prepare and facilitate live virtual events, including building supplementary slides and concept reviews based on SME‑developed course content; monitor fellows' progress in Canvas; grade and provide feedback on portfolio deliverables; host virtual office hours, engage with fellows in Discord to answer questions and lead discussions; and model and reinforce ethical red teaming practices throughout.

Each Coach will be responsible for up to 50 fellows, and will engage with the wider cohort of up to 500 fellows in shared settings such as Workshops, Maker Days, and the program Discord.

Essential Duties and Responsibilities

The essential duties of this role are grouped into three categories, with the approximate percentage of time spent on each category indicated below.

Event Preparation and Facilitation (40%)

  • Design and facilitate concept reviews and hands‑on practice activities for 4 Workshops (1.5 hours each) and 4 Maker Days (3 hours each), based on both a deep understanding of the fellow‑facing course materials in Canvas, and a knowledge of current events and trends in the LLM red teaming / AI safety and security…
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