AI Evaluation Research Intern

CTGT

San Francisco, CAOn-siteInternship
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Location
San Francisco, CA
Work style
On-site
Job type
Internship
Posted
Nov 10
Today
Career path

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About the company

CTGT

Research Services · 11 to 50 employees

Generative AI is probabilistic. Your business is not. We are the frontier lab opening the black box. CTGT replaces fragile guardrails with representation-level control that delivers the mathematical certainty and defensible audit trails required by the Fortune 500.

CTGT on LinkedIn

What you'll do

  • You will work directly on core systems to improve the performance, reliability, and auditability of large language models in real-world environments.
  • You are expected to form strong technical opinions and execute on them to bridge the gap between model capabilities and domain-specific requirements.

What you need

  • The ideal candidate is an intern interested in AI research and governance who can apply cutting-edge theory to production environments.
  • You should be capable of working autonomously and thinking like an owner within a high-trust, venture-backed startup environment.

Key skills

Artificial IntelligenceGenerative AILarge Language ModelsAI GovernanceModel EvaluationResearchPolicy EngineData AnalysisTechnical WritingProblem Solving

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Perks

  • Competitive base compensation
  • Equity

See full description on company page, apply now

Read the full posting here
About CTGT & The Mission Despite massive investment in commercial AI, organizations often find that demonstrated value is elusive, primarily due to the non-deterministic risk inherent to generative models. CTGT is the deterministic governance layer that enables the most important global institutions to deploy AI workflows with confidence. Born out of Stanford University research, we provide the control plane that makes it possible. A lightweight, model-agnostic system that enforces policy, prevents drift, and produces auditable decisions in real time. When benchmarked on HaluEval, the CTGT Policy Engine (paired with GPT-120B OSS) outperformed frontier models (Gemini 3 Pro Preview, Claude 4.5 Opus and 4.5 Sonnet) at drastically lower compute cost. While we sit on the edge of AI research, CTGT brings frontier intelligence into real-world environments. We apply cutting-edge theory directly in production to make large language models more reliable, controllable, and performant in practice. Our mission is to bring models to the level of performance and accountability required by the Fortune 500. By bridging the gap between LLM capabilities and domain-specific requirements, we unlock the true potential of generative AI to solve the most pressing problems in our world today. The Role Describe the role here, make it a compelling pitch to the person reading this! What You Will Do A list of things this person will be expected to do These shouldn’t be so crazy they turn people off, but also not bland Who You Are Describe the person’s profile Do not put things here that you don’t consider requirements of the candidate What We Offer Compensation & Equity: Competitive base compensation, plus significant equity in a venture-backed company with institutional investors including Google’s Gradient Ventures, General Catalyst, and Y Combinator. We want people who think and act like owners. Real Impact: You will work directly on the core systems that determine how models perform in the wild. Your work ships into real, high-stakes environments where governance, auditability, and performance are non-negotiable. Autonomy & Trust: We operate with a high degree of trust. You are expected to form strong technical opinions and execute on them.

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