AI & Data Science Intern - GPSU/NE

As part of the GPSU program, we are seeking an AI & Data Science Intern to support GuidePoint Security's Northeast region. In this role, you will work with the NE AI and AppSec teams as part of the NE DevSecOps team, contributing to the evaluation and governance infrastructure that supports GuidePoint's agentic AI harnesses. This is a hands-on, practitioner-mentored role focused on defining and running evals, collecting and analyzing telemetry, tuning model performance, and building an internal governance pipeline for AI harness outputs. This is a part-time, remote paid internship ($20/hr) that runs for 12 weeks, with potential for full-time employment at the conclusion of the internship. Interns are expected to work 25-29hrs/wk Monday-Friday supporting the Eastern Time Zone. This position is not available for candidates living in the following states: Alaska, California, Hawaii, New Mexico, New York, Oregon, Washington and Wyoming.

Responsibilities

Define and implement evaluation frameworks to measure the accuracy, reliability, and consistency of agentic AI harnesses; Design and run structured evals against harness outputs to detect regressions, output drift, and behavioral degradation over time; Build and maintain benchmark datasets and ground-truth corpora used to evaluate harness quality; Analyze eval results, identify failure modes, and collaborate with the NE AI and AppSec teams to drive iterative improvements; Research and apply prompt evaluation techniques and LLM benchmarking methodologies relevant to security-specific harnesses; Instrument agentic harnesses with telemetry to capture latency, token usage, error rates, and output quality signals; Analyze telemetry data to identify patterns, surface anomalies, and generate actionable insights for harness tuning; Support model and prompt tuning efforts based on eval and telemetry findings, documenting changes and measuring their impact; Contribute to building an internal AI governance pipeline: defining standards, logging outputs, flagging quality issues, and maintaining an audit trail for harness behavior; Document governance processes, eval methodologies, and tuning decisions in a repeatable, version-controlled format; Participate in limited client-facing engagements under mentorship

Requirements

Currently enrolled, or recently graduated with a degree or substantial coursework in data science, statistics, computer science, engineering, or a related field (required); Proficiency or strong interest in Python, with exposure to data manipulation libraries (pandas, numpy) or LLM APIs; Genuine curiosity about large language models, agentic systems, and how AI performs (and fails) in applied contexts; Strong analytical and written communication skills, with an ability to translate data findings into clear, actionable observations; Technical aptitude and comfort working with ambiguity in a fast-moving, practitioner-led environment; Eastern/Central time zone, preferred; Be physically located within the United States during the entire duration of the internship; Have a personal computing device and access to high-speed internet during working hours

Nice to have

Prior professional experience is not required, but a data-oriented mindset and curiosity about applied AI systems are essential; Exposure to data manipulation libraries (pandas, numpy) or LLM APIs

Benefits

Potential for full-time employment at the conclusion of the internship; Group Medical Insurance options (Zero Deductible PPO Plan or High Deductible Health Plan with HSA); Group Dental Insurance; 12 corporate holidays; Flexible Time Off (FTO) program; Healthy mobile phone and home internet allowance; Eligibility for retirement plan after 2 months at open enrollment; Pet Benefit Option