AI Technical Instructor Lead (Remote)

EngineersOfAI; New York (NY); Híbrido; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Anthropic is seeking a Technical Instructor Lead in New York to deliver hands-on technical instruction and to develop other instructors, blending in-person sessions in New York with remote work across European time zones.

You are an engineer who teaches and a teacher who makes other teachers better, able to write code, debug systems, and guide practitioners in AI tech. You will report to the Head of Technical Training.

Formación

• 6+ years of relevant experience across software engineering, solutions engineering, developer advocacy, technical education, or another technically deep role.
• 3+ years of hands-on technical instruction, including teaching engineers in live environments in person and remotely.
• Production engineering experience with written and shipped production software.
• Recent hands-on AI development, building or debugging applications using LLM APIs, agents, tool use, MCP, or related technologies.

Responsabilidades

• Deliver hands-on technical instruction across onboarding, residency, and technical enablement programs in New York and remotely across European time zones.
• Model excellent technical teaching for audiences from small labs to 100+ practitioners, adapting to different levels of experience.
• Run train-the-trainer programs for internal experts, contract instructors, and training partners.
• Coach and calibrate instructors through live and recorded observations, providing actionable feedback.
• Partner with technical experts to turn subject matter into effective sessions, labs, exercises, and demonstrations.
• Own instructional quality in assigned programs, staffing instructors into East Coast calendars and ensuring delivery meets standards.
• Use learner and instructor data to identify gaps and recommend curriculum improvements.
• Help evolve Anthropic’s technical instruction function and scale quality across programs.

Conocimientos

Software engineering

Solutions engineering

Developer advocacy

Technical education

AI development

Production engineering

Descripción del empleo

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic’s engineers are building some of the most ambitious AI systems and applications in the world. We also help engineers, architects, and technical practitioners across Anthropic, our partners, and our customers learn to build with Claude.

Until now, technical instruction has largely been a shared responsibility. We are building a dedicated technical instruction function to make that learning exceptional and ensure that everyone who teaches in Anthropic’s technical programs meets a consistent, high bar.

We are looking for a Technical Instructor Lead in New York to help bring that standard to life. About half of your time will be spent delivering ILT hands-on technical instruction in New York and remotely across European time zones. The other half will be spent developing other instructors, running train-the-trainer programs, and improving the quality and consistency of technical instruction across programs.

You are an engineer who teaches and a teacher who makes other teachers better. You can build an agent live in front of a skeptical staff engineer, diagnose a broken lab while a room of learners waits, and adapt when a lesson is not landing. You can also watch another instructor teach for ten minutes and identify the one change that will materially improve their next session.

This is not primarily an instructional design or classroom facilitation role. You should be comfortable writing code, debugging technical systems, and teaching practitioners who may know more than you do about their particular domain.

You will report to the Head of Technical Training.

Key responsibilities

• Deliver hands-on technical instruction across Anthropic’s onboarding, residency, and technical enablement programs, in person in New York and remotely across European time zones.
• Model excellent technical teaching for audiences ranging from small, interactive labs to 100+ technical practitioners, adapting to different levels of experience and technical depth.
• Run train-the-trainer programs for internal experts, contract instructors, and training partners, using Anthropic’s practice-teach, feedback, and certification processes.
• Coach and calibrate instructors through live and recorded observations, actionable feedback, and recommendations on readiness to teach specific content.
• Partner with technical experts to turn subject matter expertise into effective sessions, labs, exercises, and demonstrations, and improve content based on what happens in the room.
• Own instructional quality in assigned programs, staffing yourself and cleared instructors into East Coast program calendars and ensuring delivery meets Anthropic’s standards.
• Use learner and instructor data to identify gaps in instruction and recommend improvements to curriculum, delivery, and instructor development.
• Help evolve Anthropic’s technical instruction function, bringing your experience from the room into our standards, instructor development practices, and approach to scaling quality.

Minimum qualifications

• 6+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or another technically deep role.
• 3+ years of hands-on technical instruction, including teaching engineers in live environments both in person and remotely. You know how to make difficult technical concepts click and how to adapt when they do not.
• Production engineering experience. You have written and shipped production software and can engage credibly with experienced engineers on architecture, implementation, debugging, and technical tradeoffs.
• Recent hands-on AI development. Within the past three years, you have built or debugged applications using LLM APIs, agents, tool use, MCP, or related technologies. You are comfortable with rapidly