Advanced Specialist, AI Scientist
Pearson · Lansing, MI
$130,000–$160,000from the description
Jul 14, 2026
Lansing, MI
Jul 21, 2026
What this job asks for AI summary
This role sits within an automated scoring team that uses machine learning to evaluate millions of student exam responses annually. Day-to-day work involves training, deploying, and monitoring NLP-based scoring models for standardized tests, maintaining the underlying codebase, and running experiments to improve modeling approaches. It suits someone with hands-on ML and Python experience who is comfortable working across both research and production engineering.
Mid level · 2+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 31 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 31,700 people nationally plausibly meet what this posting asks for (data scientists). range 19,000–47,600
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role title is 'AI Scientist' but the day-to-day work centers on training, evaluating, and deploying ML models for NLP/automated scoring — a data science function. 15-1252 Software Developers is a plausible runner-up given the emphasis on maintaining and improving a production codebase.
The posting is fully remote with no primary office location stated; salary ranges are disclosed to comply with multiple state laws (CA, CO, NY, WA, etc.) but do not pin the role to any single metro.
The Bachelor's degree requirement is a hard gate; an advanced degree is listed under 'Experiences That Will Set You Apart' (preferred).
The 2+ years of experience requirement spans several role types (software engineer, data scientist, psychometrician, ML engineer) — the overall years minimum is set to 2 accordingly.
ML model deployment into production is framed with 'understanding of or experience with' — softer than a firm gate — but sits in the required qualifications block, so it is captured under the broader machine learning skill rather than as a separate hard gate.
Docker and Kubernetes appear together under the preferred 'Experiences That Will Set You Apart' section as interchangeable containerization options; Docker is listed as the primary with Kubernetes as an alternative.
Version control, OOP/functional programming, database and API access patterns, and testing are grouped together as 'software engineering fundamentals' in the required section; version control is the most concrete named tool/practice and is captured as a required skill representing that cluster.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.