# Learning Engineer

**Company:** [AI Fund](https://hotfix.jobs/companies/ai-fund)
**Location:** Mountain View, CA
**Role:** Product Design
**Skills:** Instructional Design, Learning Science, Retrieval Practice, Worked Examples, Cognitive Load, Assessment Design, Python, JavaScript, Prompt Design, LLMs, Ai Feedback, Quality Gates, Learning Experiences, Rubrics, Mastery Measurement
**Posted:** 2026-08-12

> Build AI-powered learning experiences that help learners develop real skills by translating instructional expertise into product specifications, prototypes, and quality systems. The role requires practical teaching experience, strong learning-science knowledge, excellent writing, and comfort with Python or JavaScript and modern AI tools.

## Job Description

## Responsibilities
- Design learning experiences including practice tasks, explanations, feedback, and assessments, and build them into the product.
- Translate pedagogy into specifications AI systems can execute, including lesson quality, feedback content, learner outputs, and evaluation criteria.
- Define quality standards for AI-generated teaching content and build automated checks to enforce them.
- Prototype and ship working learning experiences using AI tools.
- Observe learners, run pilots, and iterate based on outcomes.
- Collaborate directly with the founding team on teaching quality.

## Requirements
- Real teaching experience in a classroom, corporate training, coaching, or course-creation setting.
- In-depth knowledge and applied experience with instructional design and learning science, including retrieval practice, worked examples, feedback, and cognitive load.
- Hands-on building experience with modern AI tools and light engineering using Python or JavaScript.
- Experience creating interactive, applied learning experiences.
- Excellent English writing, learning-content authoring, and editing skills.

## Nice to Haves
- Experience designing for adult professional learners or workplace upskilling.
- Experience building with LLMs, including prompt pipelines, generated-content quality gates, and AI feedback on learner work.
- Assessment-design experience with rubrics, performance tasks, or mastery measurement.
- Experience in marketing, business, or another applied professional domain.

## Compensation and Benefits
- No compensation or benefits information provided.

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