Graduate Intern - LLM Reliability and Uncertainty for AI Science Assistants
National Laboratory of the Rockies · Golden, CO
$44,500–$71,200from the description
Jul 20, 2026
Golden, CO
Jul 21, 2026
What this job asks for AI summary
A graduate internship focused on making LLM-based scientific assistants more reliable by detecting when they silently fill gaps in vague or underspecified scientific questions rather than seeking clarification. The work involves probing model internal representations to flag such cases, building evaluation pipelines on HPC systems, and running experiments across computational science domains. Suited to graduate students with a background in machine learning, uncertainty quantification, and hands-on LLM development.
Junior level · Denver-Aurora-Lakewood, CO · Internship
Posted 2 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 160 people in the Denver-Aurora-Lakewood, CO area plausibly meet what this posting asks for (data scientists). range 45–240
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $114,994 (middle half $99,317–$151,203). 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 (7)
This is a graduate-level internship (fixed-term), not a permanent hire; the advertised salary range ($44,500–$71,200/year) reflects the full-time equivalent annualized rate for a 40-hour week.
The role sits at the intersection of ML research and AI systems engineering — SOC 15-2051 (Data Scientists) was chosen for its emphasis on uncertainty quantification, probabilistic ML, and model evaluation; 15-1252 (Software Developers) is a plausible alternative given the requirement to build and instrument evaluation pipelines and maintain research code.
No specific deep learning framework is named (e.g., PyTorch, TensorFlow); 'deep learning frameworks' is listed as a required skill per the Additional Required Qualifications section but no single tool is called out.
The posting requires enrollment in or recent completion of a bachelor's, master's, or PhD program — no single minimum degree is hard-gated, so the degree requirement is set to None.
A PIV card / favorable background investigation is required for internships extending beyond six months, but no formal US security clearance is gated at the time of hire.
Preferred qualifications (hallucination detection, representation probing, mechanistic interpretability, LLM benchmarking) appear under the explicit 'Preferred Qualifications' heading.
Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
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.