Description
Educational support organizations face mounting complexity as schools, students, and families demand more responsive service. Today's schools require immediate, AI-powered assistance spanning learning platforms, student information systems, hardware devices, and operational workflows. Yet most support teams rely on disconnected tools, manual handoffs, and fragile processes that break down under pressure.
We address this challenge through a different approach: AI-enhanced "cyborg" agents working at the heart of a dynamic educational environment. In this position, you will influence how the system evolves. Each resolution you deliver feeds future automation, each root cause investigation shapes process and policy, and each edge case you solve scales benefits to thousands of students and educators.
This is direct, production-level problem solving within a service context. You will investigate unclear, multi-party failures spanning learning applications, student information systems, identity management, network infrastructure, and operational processes; use AI to generate hypotheses, validate approaches, and speed up resolutions; capture the human logic that trains both systems and colleagues; and surface patterns that convert isolated fixes into lasting, organization-wide enhancements.
This is not routine ticket sorting, procedure adherence, or "forward and wait." If you excel when documentation is sparse, when challenges touch engineering, operations, and pedagogy, and when you can shift between technical analysis and stakeholder communication without compromising precision, this role will suit you well.
What you will be doing
- AI-Augmented Customer Resolutions: Examine escalated tickets flagged by AI systems, apply human judgment to scenarios where AI capabilities are insufficient, and refine the AI system to close those gaps
What you will NOT be doing
- Spending two full months on onboarding; you will be expected to gain proficiency across multiple products within the first month (we recognize this is demanding)
- Depending on managers for unblocking; if you are not skilled at removing your own obstacles, this role will likely be challenging
Key responsibilities
- Combine human technical expertise with AI tools to provide outstanding customer support, concentrating on intricate problems that AI cannot yet handle independently
Candidate requirements
- At least 3 total years of experience in a technical customer support role
- Basic coding skills for the purpose of troubleshooting/bug fixes
- Troubleshooting Skills: Explaining complex issues in simple terms, demonstrating strong problem understanding, recommending relevant troubleshooting strategies, proposing multiple solution paths, and showing attention to detail
You will be working for
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.
Chat-style
screening interview.
Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
Frequently asked questions
Reviews
Meet some people who've landed similar jobs
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.