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Day Learning Sciences Jobs (NOW HIRING)

Kira Learning

AI Learning Scientist

New York, NY · On-site

$130K - $180K/yr

We ask that employees work from one of the two locations, and come into the office 4 days a week ... You have a degree in learning sciences, educational psychology, cognitive science, or a closely ...

Brown University

Learning Designer

Providence, RI · On-site

... days. All offers of employment are contingent upon successful completion of a background check. Qualifications: Education and Experience * Master's degree in learning sciences, education, or related ...

Brown University

Learning Designer

Library, PA

... days. All offers of employment are contingent upon successful completion of a background check. Qualifications: Education and Experience * Master's degree in learning sciences, education, or related ...

Kira

AI Learning Scientist

New York, NY · Remote

$130K - $180K/yr

We ask that employees work from one of the two locations, and come into the office 4 days a week ... You have a degree in learning sciences, educational psychology, cognitive science, or a closely ...

The New York Times

Machine Learning Scientist

New York, NY · On-site

$121K - $131K/yr

We are a group of machine learning scientists and data analysts that partner with teams across The ... A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition ...

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Day Learning Sciences information

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$47K

$66.7K

$82.5K

How much do day learning sciences jobs pay per year?

As of Jun 10, 2026, the average yearly pay for day learning sciences in the United States is $66,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $74,500.00 per year, depending on experience, location, and employer.

What are Day Learning Sciences?

Day Learning Sciences refer to the interdisciplinary field that studies how people learn throughout the day, typically focusing on formal and informal learning processes, cognitive development, and the design of effective educational environments. Professionals in this field analyze how learning occurs in various settings—such as classrooms, workplaces, or everyday life—and apply research to improve teaching methods and educational technology. The goal is to enhance learning outcomes by understanding and optimizing how knowledge is acquired, retained, and applied.

How does a Day Learning Sciences professional typically collaborate with teachers and school administrators to implement effective educational strategies?

Day Learning Sciences professionals often work closely with teachers and school administrators to analyze student data, design evidence-based learning interventions, and provide training on new instructional methods. They may facilitate workshops, observe classrooms, and offer feedback to ensure best practices are consistently applied. Open communication and teamwork are essential, as these professionals act as a bridge between educational research and classroom practice. This collaborative approach helps create an environment where both educators and students can thrive.

What is the difference between Day Learning Sciences vs Day Education Specialist?

AspectDay Learning SciencesDay Education Specialist
CredentialsTypically requires a degree in education, psychology, or related fields; certifications in instructional design or learning technologies are commonRequires a degree in education or related fields; certifications in teaching or curriculum development are often preferred
Work EnvironmentWorks primarily in educational institutions, corporate training, or online learning platformsWorks mainly in schools, training centers, or educational organizations
Employer & Industry UsageUsed by educational institutions, e-learning companies, and corporate training providersEmployed by schools, educational agencies, and training organizations

Day Learning Sciences focuses on applying scientific principles to design effective learning experiences, often involving research and technology. In contrast, Day Education Specialists typically implement and deliver educational programs directly to learners. Both roles require educational credentials but differ in their focus on research versus direct instruction.

What are the key skills and qualifications needed to thrive as a Learning Sciences Specialist, and why are they important?

To thrive as a Learning Sciences Specialist, you need a deep understanding of educational psychology, instructional design, and research methodologies, often supported by an advanced degree in learning sciences or a related field. Familiarity with learning management systems (LMS), data analysis tools, and qualitative/quantitative research software is typically required. Strong analytical thinking, collaboration, and communication skills help you design effective learning interventions and work with diverse stakeholders. These competencies are crucial for developing evidence-based educational solutions that improve learning outcomes.
What cities are hiring for Day Learning Sciences jobs? Cities with the most Day Learning Sciences job openings:
What are the most commonly searched types of Learning Sciences jobs? The most popular types of Learning Sciences jobs are:
What states have the most Day Learning Sciences jobs? States with the most job openings for Day Learning Sciences jobs include:
Day Learning Sciences jobs near you
AI Learning Scientist

AI Learning Scientist

Kira Learning

New York, NY • On-site

$130K - $180K/yr

Full-time

Medical, Dental, Vision, Life

Posted 8 days ago

Job description

It is Kira Learning's mission to harness transformative AI technologies to make world-class teaching and learning accessible to everyone. Kira is a rapidly growing startup backed by top-tier Venture Capital funds including New Enterprise Associates (NEA), Andrew Ng's AI Fund, and Primavera. We live in a world where technology is rapidly changing the educational experiences of students and teachers everywhere, and we have the opportunity to shape how this change takes place.
As an AI Learning Scientist at Kira, you will help ensure that the AI features we build are pedagogically sound and actually move student outcomes. AI is reshaping what classrooms and student learning looks like, and you will help define what high-quality learning looks like in this new era. You will partner with our product and engineering teams to ground our AI systems in evidence-based learning science, and you will help ensure that what we build improves student outcomes.
This is a full-time position that frequently requires flexibility outside regular business hours for launches, incidents, or collaboration across time zones. We have offices in San Francisco and New York City. We ask that employees work from one of the two locations, and come into the office 4 days a week (Wednesdays WFH).
What You'll Do
  • You will partner with product and engineering teams to ensure our student-facing AI features, such as our AI tutor, are pedagogically sound and genuinely improve learning outcomes.
  • You will ground our AI features in evidence-based instructional strategies, including scaffolding, worked examples, retrieval practice, and adaptive feedback.
  • You will help shape how we measure student understanding and progress over time, working closely with the AI team on personalization and mastery.
  • You will partner with product and curriculum teams on standards alignment, skill progressions, and the cognitive demand of the work students do on Kira.
  • You will contribute to how we evaluate the quality of our AI systems, including automated evaluations and human review.
  • You will represent Kira's pedagogical approach to external audiences, including district administrators, researchers, and partners, through written materials, conference talks, and customer conversations.

What We Are Looking For
  • You have a strong working knowledge of K-12 instruction, including curriculum standards, assessment design, and the realities of classroom practice.
  • You have experience designing and evaluating learning interventions, ideally with quantitative methods such as randomized studies, quasi-experiments, or rigorous observational designs.
  • You are comfortable working with technical teams and can engage substantively with topics like machine learning evaluation, recommendation systems, or psychometrics.
  • You communicate clearly in writing and verbally, and you can move between research-grade precision and product-friendly summaries.
  • You are excited about applying AI to education and have a thoughtful, evidence-based view on what it can and cannot do well.
  • You have a degree in learning sciences, educational psychology, cognitive science, or a closely related field.

Preferred
  • You have classroom teaching experience in a K-12 setting.
  • You have worked in an edtech product environment or at a research-practice partnership.
  • You have published research on AI tutors, intelligent tutoring systems, mastery learning, or adaptive assessment.
  • You have experience with MTSS, response to intervention, or other tiered support frameworks.
  • You have hands-on experience running pilots or efficacy studies with school districts.

What We Offer
  • Competitive compensation and equity. For applicants in the US, the salary range for this role is $130,000 - $180,000 depending on relevant considerations like professional experience and related skill sets.
  • Medical, dental, vision and life insurance, including a medical insurance plan with 100% coverage of employee.
  • DoorDash credit for lunch daily.
  • Wellhub Membership: 100% company-paid access to premium gym networks (Orangetheory, SoulCycle), 60+ wellness apps (Headspace, MyFitnessPal, Apple Fitness+), and 1:1 coaching sessions spanning fitness, mental health, nutrition, and sleep.
  • Pet friendly office .

Equal Employment Opportunity Employer
At Kira, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Kira believes that diversity and inclusion among our employees are critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.
Background Check
Kira will make a conditional job offer in line with local, state and federal laws, and a subsequent criminal, education, and employment history background check will then be issued.

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