AI Research Associate

(Remote, Full-Time)

Coursemojo is a leading ed-tech company, which has developed a best-in-class, curriculum-aligned, AI-powered assistant teacher. “Mojo” is designed to bridge the gap that exists between the high-quality English Language Arts instructional materials that school districts have adopted and the diversity of student needs that exist in classrooms. With the goal of supporting both teachers and diverse learners, “Mojo” helps educators differentiate instruction by providing each student (multi-lingual learners, students with IEPs, advanced students, struggling readers) with targeted, Socratic, one-on-one and small group support (in 50+ languages) through interactive learning activities in the context of core class instruction.

As Coursemojo’s founding AI Research Associate, you will be a force-multiplier for our co-CEO & VP of Product by running and scaling the AI prompt experiments that we design to address issues with, or explore possibilities for, our application. You will be responsible for running these experiments and their iterations, logging their results, and returning with clear findings and proposed next steps. You will also partner closely with our Content Transformation team to move proven ideas from experiments into durable prompts and workflows that power our learning activities. This role will report directly to our co-CEO & VP of Product; you will have a birdseye view to the development and iteration of a cutting edge product, and have the opportunity to work cross-functionally with our talented Content, Transformation, and Development teams.

Why is this role important?

Our capacity to run, iterate, and learn from these AI prompt experiments is essential to improving and growing our product’s ability to “wow” both student and teacher users, and accelerate student learning as readers and writers. Running these experiments takes time, thoughtfulness, and care, and our co-CEO & VP of Product needs additional capacity to steward them so that he does not become a bottleneck to our product’s improvement. Your work enables our prompts to perform as intended, which has a direct effect on whether students can engage effectively with our powerful learning experiences.

What will you do?

• Carry forward active experiments. Take experiments initiated by our co-CEO and run the many small, necessary iterations (e.g., tweaking prompts & criteria, uploading and testing prompts in production, validating edge cases).
• Make evidence legible. Keep clean artifacts (on tests run, prompts, criteria differences, examples), track and evaluate outcomes, and write tight summaries with a recommended next step.
• Keep feedback loops tight. Bring back interim results quickly for judgment calls; refine with guidance and keep the experiments moving.
• Partner effectively with Transformation. When an approach looks viable, coordinate a tidy handoff to our Transformation team sharing key context, rationale, examples, and open questions to help them move from experiment to durable prompts and workflows.
• Turn one-offs into patterns. Where it makes sense, turn small tasks (checklists, mini-eval sets, comparison views) into repeatable processes/templates so the next run is faster and clearer.
• Take on more responsibility as you learn. In the first months you won’t be expected to originate experiments independently. You’ll extend and scale experiments that the co-CEO (and at times Transformation) initiate—growing toward proposing approaches as your judgment strengthens.

How will we define success?

First 90 days

• Experiments advance reliably without stalling; you keep 2–3 experiments moving in parallel.
• Your experiments’ results are reproducible and easy to scan; your recommendations are specific and bounded.
• Transformation receives handoffs that are usable on day one.

How you will grow (6-12 months)

• Spot opportunities to 2–3× the speed of experiments by setting up repeatable workflows and prompts.
• Propose next steps with increasing confidence—and occasionally propose the experiment plan itself.
• Serve as connective tissue between R&D and Transformation independent of the co-CEO on selected prompts/workflows.

What are we looking for?

Requirements

Education & Experience

• Bachelor’s degree in any field
• 1-5 years of post-collegiate experience in an analytical function (research, tech, consulting, etc.)

Skills & Attributes

• Collaborator who likes to solve problems with others
• Strong synthesizer who writes clearly and trims noise
• Comfortable with technical problem solving
• Attracted to solving analytical puzzles
• Comfortable with ambiguity and many small iterations to get to signal
• Organized, reliable, and communicative—knows when to ask vs. press on
• Energized by using AI as a practical lever, not a demo toy
• Relentless in figuring out how to solve a problem, even when plan A doesn’t work as expected

Technical Baseline

• High-level technical comfort in Google Suite, spreadsheets, digital knowledge management
• Hands-on work experience with LLMs (like ChatGPT and Claude) and LLM prompt iteration

Preferred (but not required)

• Basic Python/SQL
• Background in education, edtech, or learning sciences

Where is this position located?

This is a full-time, fully remote position for candidates based in the United States and with the possibility of some national travel.

What is the compensation for this position?

At Coursemojo, we are committed to equitable, transparent, and rewarding compensation for our teammates. We base our salaries for every position on three factors: 1) benchmark data for similar roles, 2) a candidate’s level of experience, and 3) a candidate’s geographic location.

The salary range for candidates is $63,000-$74,100 annually for candidates with <2 years of relevant experience and $77,700-$91,500 for candidates with 2+ years of relevant experience. Where a candidate's salary offer falls within a range is determined by the candidates local cost of labor (candidates in Tier 1 labor markets like NYC & SFO can expect a salary on the high end of that range; most domestic labor markets fall towards or at the low-end of that range).

Our Commitment

Studies have shown that people of color and women are less likely to apply for jobs unless they believe they check all the boxes listed in a job description. We encourage you to apply, even if you don't believe you meet every one of our qualifications described. 

We are committed to recruiting, hiring, and retaining a diverse team. We have designed a hiring process that surfaces candidates’ strengths, celebrates differences, and mitigates bias where we can so that we can hire the best and most diverse team possible.

How to Apply

Submit your application here.