Learning Specialist $120,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Learning Specialist $120,000 USD/year
Description
- Annual salary of $120,000, distributed weekly, with health, dental, and vision coverage starting on day one
- Full-time placement at a single Alpha campus location: Beverly Hills, La Jolla (San Diego), Lake Forest (Orange County), Palo Alto, Piedmont, San Francisco, Santa Barbara, Santa Monica, or South Bay (LA), CA; Greenwich, CT; Boca Raton or Miami Beach, FL; Chicago, IL; Boston, MA; Charlotte, NC; or New York City, NY (relocation assistance available)
- 40-hour workweek, entirely classroom-based with K-2 learners
The structured-literacy certification you hold — Orton-Gillingham, LETRS, Wilson, IMSE, or a Master's in reading instruction — has opened every K-2 reading position you've pursued. In most roles, though, it also marked the limit: you executed a predetermined program and documented results. At Alpha, that credential is where your work begins. If that shift is meaningful to you, continue reading.
Alpha has dismantled conventional teaching models. Students advance through academic content autonomously via AI-adaptive applications. There are no lectures, textbooks, or prescribed pacing calendars. Your function is the singular space where human expertise cannot be substituted. You construct 20-minute small-group instruction blocks using live app-generated data; sessions are brief intentionally, because targeted precision outweighs duration. You also facilitate motivation blocks that propel 100% of students toward their weekly app benchmarks through Alpha's motivational framework (campus currency, performance leaderboards, developmentally appropriate game mechanics). You catch a phonemic error during instruction, identify the underlying gap, and recalibrate the next day's workshop before you leave. That level of responsiveness is expected.
Families enrolling at these locations have selected Alpha for measurable results, not merely enrollment. Parents review weekly analytics on their child's reading progress, and they engage actively. You will field specific inquiries about individual student advancement, and generic reassurances will not suffice. You must reference the running record, identify the phonemic deficit, and articulate your instructional response. That level of accountability should energize you, not create resistance.
Your initial period centers on establishing credibility. Workshops must be engaging, appropriately leveled, and demonstrably effective; student satisfaction scores and "love your Guide" survey results (target 90%+) provide direct feedback. Once you demonstrate consistent success, your influence extends beyond your own classroom: strategies that succeed with your students become templates adopted across other Alpha campuses, and your diagnostic precision informs how reading instruction evolves as Alpha expands. Your contributions reach beyond your immediate environment.
Prior to an offer, you will submit a brief video presenting an engaging narrative for young children, and you will complete a full on-campus day working directly with K-2 students. Low energy with children will disqualify candidacy, regardless of credential strength. This is intentional. Apply today.
What you will be doing
- Constructing small-group K-2 reading instruction sessions from real-time adaptive-app analytics, rooted in structured-literacy approaches (Orton-Gillingham, Wilson, LETRS, IMSE, or comparable methods)
- Leading daily motivation blocks that drive 100% of students to weekly app targets using Alpha's motivational system (campus currency, performance leaderboards, developmentally appropriate game mechanics)
- Analyzing AI-generated performance metrics (fluency trajectories, decoding precision, comprehension indicators) to modify instruction throughout the day, not solely during planning periods
- Conducting running records, fluency assessments, and decoding evaluations to generate progress visible in weekly campus data sessions
- Serving as the engaging, high-energy adult your K-2 students anticipate interacting with daily
What you will NOT be doing
- Implementing a published reading curriculum, scripted instructional program, or district pacing calendar; you construct lessons directly from student performance data
- Delivering whole-class lectures; all teaching occurs in small, targeted groups while students engage with academic content through adaptive applications
- Functioning as a reading consultant, instructional coach for other educators, or district-level specialist; you work directly with children in the classroom daily
- Managing a conventional classroom schedule: subject-by-subject lectures, homework checks, test preparation. Your time blocks are workshops, motivation sessions, and data-informed small groups
- Drafting IEPs, 504 plans, or formal diagnostic documentation; student advancement is tracked through app analytics and your running records, not special-education compliance paperwork
Key responsibilities
Generate quantifiable K-2 reading advancement across phonics, fluency, and comprehension within a campus environment where performance is evaluated weekly.
Candidate requirements
- Structured-literacy credential (Orton-Gillingham, LETRS, Wilson Reading System, IMSE, CERI, Neuhaus, UFLI, or equivalent) OR a Master's degree in reading instruction
- Bachelor's degree in any discipline, plus 2+ years of full-time K-2 structured reading instruction in a school or clinical environment within the past 5 years, utilizing systematic phonics or structured literacy
- Proven capacity to create original reading lessons and clearly explain your instructional content and methods, independent of a published curriculum
- Commitment to full-time, in-person work at one Alpha campus: Beverly Hills, La Jolla (San Diego), Lake Forest (Orange County), Palo Alto, Piedmont, San Francisco, Santa Barbara, Santa Monica, or South Bay (LA), CA; Greenwich, CT; Boca Raton or Miami Beach, FL; Chicago, IL; Boston, MA; Charlotte, NC; or New York City, NY (relocation assistance available)
- Willingness to instruct all K-2 students (not exclusively struggling readers) and incorporate AI and adaptive-learning technologies into daily teaching as these tools develop
- Legal authorization to work in the U.S. without requiring visa sponsorship
Nice to have
- Direct experience with AI-enabled or adaptive reading systems (e.g., Amira, Lexia, i-Ready, Reading Plus) for instructional planning or student data interpretation
- Documented history of quantifiable reading outcomes (fluency gains in WCPM, accuracy increases, decoding level progression) with specific figures
- Familiarity with diagnostic reading instruments (DRA, DIBELS, AIMSweb) for creating differentiated instructional groups
- Experience in high-accountability educational settings (independent schools, elite charter networks, premium tutoring with outcome-focused families)
- Background in performance, youth sports coaching, or engaging K-2 audiences outside traditional reading instruction
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.