AI & Data Science Intern

GuidePoint Security

. Support GuidePoint Security’s Northeast region as part of the NE DevSecOps team .

Posted 10/8/2026part-timeRemote • United StatesEntry Level💰 $20 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Proficiency in Python and data manipulation libraries such as Pandas and NumPy is essential for analyzing evaluation results and driving improvements in AI systems. Strong analytical skills and effective written communication are crucial for documenting governance processes and evaluation methodologies.

Highest-signal resume keywords

Python ProficiencyData Manipulation (Pandas, NumPy)Large Language Models (LLM) KnowledgeAnalytical SkillsWritten Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonData ManipulationStatistical AnalysisEvaluation FrameworksBenchmarking MethodologiesTelemetry AnalysisModel TuningPrompt Evaluation TechniquesGovernance ProcessesVersion Control

Soft Skills

Analytical ThinkingCuriosityTechnical AptitudeComfort with Ambiguity

Tools & Technologies

LLM APIsTelemetry ToolsVersion Control Systems

Industry Keywords

AI GovernanceAgentic SystemsData ScienceComputer ScienceEngineering

Tech Stack

Tools & technologies

NumpyPandasPython

About the role

Key responsibilities & impact

Support GuidePoint Security’s Northeast region as part of the NE DevSecOps team
Work with the NE AI and AppSec teams on evaluation and governance infrastructure for agentic AI harnesses
Define and implement evaluation frameworks measuring accuracy, reliability, and consistency
Design and run structured evaluations to detect regressions, output drift, and behavioral degradation
Build and maintain benchmark datasets and ground-truth corpora
Analyze evaluation results, identify failure modes, and drive iterative improvements
Research and apply prompt evaluation techniques and LLM benchmarking methodologies
Instrument agentic harnesses with telemetry for latency, token usage, error rates, and output quality
Analyze telemetry, identify anomalies, and generate actionable tuning insights
Support model and prompt tuning; document changes and measure impact
Contribute to an internal AI governance pipeline, including standards, output logging, quality flags, and audit trails
Document governance processes, evaluation methodologies, and tuning decisions in version-controlled formats
Participate in limited client-facing engagements under mentorship

Requirements

What you’ll need

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
Exposure to data manipulation libraries (pandas, numpy) or LLM APIs
Genuine curiosity about large language models, agentic systems, and applied AI contexts
Strong analytical and written communication skills
Technical aptitude and comfort working with ambiguity
Personal computing device and access to high-speed internet during working hours
Must be physically located within the United States during the entire internship
Must work 25–29 hours per week, Monday–Friday, supporting the Eastern Time Zone
Eastern/Central time zone preferred
Not available to candidates living in Alaska, California, Hawaii, New Mexico, New York, Oregon, Washington, or Wyoming

Benefits

Comp & perks

Paid internship
Potential for full-time employment at the conclusion of the internship
Remote workforce
Personal computing device and access to high-speed internet during working hours
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
Group medical insurance options (full-time employment only)
Group dental insurance (full-time employment only)