- Advanced techniques for creating AI systems that truly understand and respond to educational contexts
- How to bridge the gap between cutting-edge AI technology and practical educational applications
- Skills to measure and optimize AI-generated content for maximum learning effectiveness
Artificial Intelligence Engineer $200,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
Tired of building AI tools that never see real-world impact? Join us in creating the AI-powered "Second Brain" that's revolutionizing education for millions of students who deserve better than one-size-fits-all learning.
What you will be doing
- Architect sophisticated AI-driven workflows that transform raw LLM capabilities into powerful educational tools that adapt to individual learning styles
- Engineer domain-specific knowledge repositories and contextual frameworks that enable our AI systems to generate truly personalized learning content
- Design scalable data structures that support complex educational content generation while maintaining pedagogical integrity
What you will NOT be doing
- Implementing basic chatbots or simple AI integrations that merely automate existing processes
- Building theoretical models that never reach students or make meaningful educational impact
- Maintaining legacy systems or working on incremental improvements to existing technologies
Key responsibilities
Transform LearnWith.AI into the industry leader by engineering AI systems that generate personalized, engaging educational content at scale—effectively bridging the gap between technological innovation and meaningful learning outcomes.
Candidate requirements
- Minimum 4 years of software engineering experience with demonstrated ability to architect complex systems
- Proven track record implementing AI tools (ChatGPT, Gemini, Grok) in professional environments with measurable outcomes
- Passionate interest in EdTech backed by knowledge of educational challenges and opportunities
Nice to have
- Experience with prompt engineering and LLM fine-tuning techniques
- Background in educational content development or instructional design
- Familiarity with knowledge graph structures and semantic data modeling
How it works
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job & AI Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
Frequently asked questions
What you will learn
Work examples
- Developing an AI system that generates personalized science experiments based on student interests and available resources
- Creating an adaptive history curriculum that presents historical events from multiple perspectives based on student learning preferences
- Building an AI-powered assessment engine that identifies knowledge gaps and automatically generates targeted learning materials
Reviews
Meet some people who've landed similar jobs
Why Crossover
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
Join the world's largest community of 
AI-first remote workers.
