E-learning Developer $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
If you believe education should operate with greater speed, precision, and accountability, this position is designed for you.
2 Hour Learning compresses the work traditional schools distribute across an entire day into concentrated, high-impact learning cycles. Success depends on academic decisions that are accurate, timely, and owned from start to finish. This role exists to deliver that: transform complex student data into clear, actionable decisions and combine them with direct, high-trust coaching that eliminates obstacles quickly.
You will operate where analytics meets human engagement. In one moment, you're reviewing performance data to identify risk early and support placements with defensible logic. In the next, you're working face-to-face with a student, diagnosing confusion in the moment and helping them progress before minor challenges escalate into serious setbacks. This is not a background reporting function. You are responsible for results.
This position is built for individuals who want to witness the impact of their decisions immediately. If you excel with ownership, value direct student engagement, and take satisfaction in helping children learn twice as efficiently through sharper decisions, this role will suit you.
Apply if you want your contributions to be visible by the end of the week, not the end of the term.
What you will be doing
- Evaluate student performance data to generate clear, actionable academic reports that enable prompt interventions
- Take full academic responsibility for a designated student cohort, including placement decisions, testing protocols, and follow-through actions
- Deliver fast-paced academic rescue sessions that pinpoint root causes and eliminate learning obstacles in real time
- Lead post-test coaching conversations to distinguish knowledge deficits from careless errors and assign precise next steps
- Partner with academic leaders and parent support teams to escalate emerging risks and refine tools or workflows
What you will NOT be doing
- Creating reports that sit unused
- Operating exclusively in the background without direct student contact
- Delegating academic responsibility to teachers, tutors, or parents
- Conducting broad tutoring sessions without targeted diagnostic objectives
- Delaying response to student challenges for weeks at a time
Key responsibilities
Provide accurate, timely academic analysis and direct student interventions that demonstrably accelerate learning outcomes for assigned student cohorts.
Candidate requirements
- At least 1 year in a coaching, instructional, or training role with documented outcomes or feedback
- At least 1 year of direct, 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.
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.