# Part Time Instructor - Agentic AI (US) at Interview Kickstart

> Remote · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/ashby%3Ainterview-kickstart%3A1adaceae-e7cc-46b7-bf7c-07d05218fee6 (read 2026-11-04).

## Facts (observed)

- Company: [Interview Kickstart](https://alderhq.app/companies/interview-kickstart)
- Location text: Remote - USA; Remote - USA
- Where it can be done from (inferred): Remote · United States (evidence: "Location: Remote - USA; Remote - USA")
- Posted: 2025-09-07 (423 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/interview-kickstart/1adaceae-e7cc-46b7-bf7c-07d05218fee6
- Skills listed (inferred): LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 15888): p25 $58k, median $93k, p75 $158k

## Description (the employer's text)

### Preferred Qualifications

● Prior experience building and deploying LLM or agent-based applications in real-world settings

● Strong proficiency with agent frameworks like LangGraph, CrewAI, or LangChain

● Strong understanding of system design principles, especially in AI/ML-based architectures

● Demonstrated ability to explain complex technical topics to diverse audiences

● Experience teaching, mentoring, or creating content for working professionals in tech

● Excellent communication and collaboration skills, with a learner-first mindset

● Bonus: Contributions to open-source AI projects, publications, or prior experience with AI upskilling programs

Responsibilities:

● Instruction Delivery: Conduct lectures, workshops, and interactive sessions to teach machine learning principles, algorithms, and methodologies. Instructors may use various teaching methods, including lectures, demonstrations, hands-on exercises, and group discussions.

● Industry Engagement: Staying current with the latest trends and advancements in machine learning and related fields, engaging with industry professionals, and collaborating on projects or internships to provide students with real-world experiences.

● Research and Development: Conducting research in machine learning and contributing to developing new techniques, models, or applications.

● Constantly improve the session flow and delivery by working with other instructors, subject matter experts, and the IK team.

● Help the IK team in onboarding and training other instructors and coaches

● Have regular discussions with IK’s curriculum team in evolving the curriculum.

● Should be willing to work on weekends/evenings and be available as per the Pacific time zone Demo Guidelines for Agentic AI

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Ainterview-kickstart%3A1adaceae-e7cc-46b7-bf7c-07d05218fee6 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.