# AI Research Intern at Pangram Labs

- Company: [Pangram Labs](https://www.pangram.com/)
- Location: New York, NY
- Type: Internship · Internship
- Posted: 2026-10-04
- Apply: https://jobs.ashbyhq.com/pangramlabs/2d00752c-b3f2-40e1-9c50-60147c858d0b/application?embed=true
- Page: https://newgrad.ai/jobs/ai-research-intern-39440a28

## Summary by newgrad.ai

What you'll do:

- Investigate AI detection methods under a assigned researcher with a self-selected focus area
- Target submission to prestigious conference proceedings
- Choose from topics including robustness testing, explainability, mixed authorship analysis, or model optimization

What they're looking for:

- Graduate student or exceptional senior undergrad in CS or AI
- Track record of published work at top-tier AI conferences
- Solid grasp of neural networks and hands-on training experience
- Strong Python and PyTorch capabilities
- Hands-on experience leveraging AI coding assistants for research

Pay and perks:

- $8,000-$11,000 monthly
- Relocation assistance offered
- Complimentary daily meals at office
- Strong candidates eligible for permanent position offers

## Posting

Pangram Labs is hiring talented AI Research Interns for Spring or Summer 2027.

Research interns conduct research relating to frontier AI detection research or related topics, with the goal of publishing a paper in a major conference venue. Examples of past internship projects at Pangram include EditLens (https://arxiv.org/pdf/2510.03154) and Scaling Laws for Wild AI Text (https://arxiv.org/abs/2609.40295).

### What You'll Work On

Interns are assigned a mentor, and choose a research topic or area prior to the internship. Current active research areas within Pangram include:

- Adversarial Robustness: how do detectors perform against humanizers and adversarial paraphrasing?

- Interpretability: can we build more explainable, interpretable AI detection?

- Mixed Human/AI Authorship: how can we quantify the different facets of human-AI coauthorship?

- New Architectures: how can we optimize Pangram's architecture for efficiency or even higher levels of accuracy?

- Multimodal Detection: how can we improve AI detection for images, video, and audio?

- Effects of AI-Generated Data on LLM Training: what is the effect of AI-generated data on foundation model training?

- Agentic AI detection: how can we harness the power of agents to give Pangram more context about authorship?

- Topics of your choice: propose an original topic relevant to AI detection

### Requirements

- Currently pursuing an M.S. or Ph.D. in Computer Science/Artificial Intelligence. Exceptional undergraduates entering their senior year are welcome to apply.

- Prior research experience that has resulted in a published paper in a top AI venue.

- Fluency in deep learning fundamentals and experience training neural networks.

- Excellent programming skills in Python and a deep learning framework like Pytorch.

- Experience working with an AI agent for research like Claude Code or Codex.

### Compensation

- $8,000-$11,000 per month

- Relocation stipend available

- In-office lunch

- Top interns may receive return offers for full-time roles

From Pangram Labs's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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More new-grad and intern roles: https://newgrad.ai/llms.txt