Learning Experience Designer $60,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
This role is for those who believe education must operate with speed, precision, and measurable accountability.
2 Hour Learning compresses a full day of traditional schooling into concentrated, outcome-driven learning cycles. Achieving that requires academic decisions that are accurate, immediate, and owned from start to finish. This position is designed to deliver on that promise: transform raw student performance data into actionable strategies, then apply them through direct, high-confidence student coaching that eliminates obstacles quickly.
You will operate where data analysis meets personal engagement. At one point, you are reviewing performance metrics to detect early warning signs and justify placements with solid reasoning. At another, you are working directly with a student, identifying confusion as it happens and moving them forward before minor gaps evolve into significant setbacks. This is an active, accountable position—not a passive data function. You own the results.
This position suits individuals who want to witness the effects of their decisions without delay. If you thrive on responsibility, value direct student interaction, and find fulfillment in enabling students to learn twice as efficiently through better judgment, this is the right environment.
Apply if you want your contributions to register by week's end, not by semester's close.
What you will be doing
- Review and interpret student performance data to generate clear, actionable academic reports that drive timely interventions
- Take full ownership of academic outcomes for a designated student cohort, including decisions around placement, assessments, and follow-through
- Lead rapid academic intervention sessions that uncover root causes and eliminate learning obstacles in the moment
- Facilitate post-assessment coaching to distinguish between conceptual misunderstandings and simple errors, then assign focused corrective steps
- Work with academic leadership and parent support teams to escalate concerns and refine tools or workflows
What you will NOT be doing
- Creating reports that remain unused or unread
- Operating exclusively in the background without any student-facing responsibilities
- Delegating academic accountability to teachers, tutors, or families
- Delivering generalized tutoring without a clear diagnostic purpose
- Allowing weeks to pass before addressing emerging academic concerns
Key responsibilities
Provide precise, timely academic analysis and direct student interventions that demonstrably improve learning outcomes for your assigned student groups.
Candidate requirements
- At least 1 year in a coaching, instructional, or training role with a documented outcome or feedback
- At least 1 year of hands-on experience working closely with K–8 students (occasional tutoring does not qualify)
- Demonstrated experience in data science, education, EdTech, or student support roles combining analysis and interpersonal work
- Fluent spoken and written communication in Ukrainian and English
- Strong proficiency in Google Sheets, including lookups, filters, pivot tables, and charts
- High emotional intelligence with the ability to build trust quickly with students and parents
- Proven use of AI to analyze data or automate workflows with measurable efficiency gains
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.
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