Data Scientist, Generative AI
Location: Texas City, Texas, US
Recruiter: Amira Learning
Date posted: Tuesday, November 11, 2025
Job Description:
Data Scientist, Generative AI
REMOTE / FULL TIME
About Amira Learning:
Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4.
Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum.
Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level.
Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers.
About this role:
We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children.
We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training.
Responsibilities include:
- Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways.
- Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team.
- Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results.
- Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team.
- Work within a fully distributed (remote) team.
- Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools.
Who You Are:
- You have a background in early education, reading science, literacy, and/or NLP.
- You have at least one year of experience working with LLMs and Gen AI models.
- You have a degree in computer science or a related technical area.
- You are a proficient Python programmer.
- You have created performant Machine Learning models.
- You want to continue to be hands-on with LLMs and other Gen AI models over the next few years.
- You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires.
- You are able to enjoy working on a remote, distributed team and are a natural collaborator.
- You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend.
Qualifications
- Bachelor's degree, and/or relevant experience
- 1+ years of Gen AI experience - preferably in the Education SaaS industry
- Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment.
- Exceptional organizational, analytical, and detail-oriented thinking skills.
- Proven track record of meeting/exceeding goals and targets.
- Great interpersonal, written and oral communication skills.
- Experience working across remote teams.
Amira's Culture
- Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want.
- Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience.
- Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players.
- Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact.
Benefits:
- Competitive Salary
- Medical, dental, and vision benefits
- 401(k) with company matching
- Flexible time off
- Stock option ownership
- Cutting-edge work
- The opportunity to help children around the world reach their full potential
Commitment to Diversity:
Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer.
The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.
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