AI Model Validator
VigorCare Pediatric Services · Columbus, OH
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Jul 1, 2026
Columbus, OH
Jul 20, 2026
What this job asks for AI summary
This role centers on validating AI models used in healthcare decision-making, covering the design and execution of validation plans, performance monitoring, bias testing, and documentation for compliance. It suits someone with a background in computer science or data science who is comfortable working across teams of data scientists and engineers to identify and resolve model issues.
Mid level · National · Bachelor's required · Full-time
Posted 3 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
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $106,594 (middle half $82,076–$136,109).
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 (7)
Location is not specified anywhere in the posting; CBSA and state fields are left blank. Remote eligibility is also unstated — defaulting to on-site.
SOC classification is genuinely ambiguous: the role centers on validating/testing AI models (pointing to 15-1253 QA Analysts and Testers), but the required understanding of ML algorithms and collaboration with data scientists gives it a strong 15-2051 Data Scientists flavor. 15-1253 was chosen as primary because the core deliverable is a validation/testing plan and bias analysis, not model building.
The degree requirement states 'Bachelor's or Master's degree' — Bachelor's is treated as the minimum hard gate.
The posting names no specific tools, frameworks, or platforms (e.g., no Python, TensorFlow, scikit-learn, Tableau, etc.) — only generic categories ('machine learning algorithms', 'data analysis and visualization tools'). Only those broad categories are captured as skills; no specific tool names could be extracted.
No experience level (years) is stated anywhere in the posting, and the title carries no seniority modifier. Mid-level is inferred from the independent-work expectation and the degree + ML knowledge requirements.
Compensation is described only as 'competitive salary and benefits' with no figures given.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data analysis.
Read the full posting
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