Research & Analytics Intern

Research & Analytics Intern

Voxel | San Francisco Bay Area (In-Office) | Summer 2026 (10–12 weeks) | Paid

Voxel is a Series B computer applied AI company that makes industrial workplaces safer and more efficient. Our AI platform turns existing security cameras into intelligent systems that detect hazards, improve operations, and protect workers across warehouses, manufacturing plants, and distribution centers. We're ~100 people, growing fast, and backed by top-tier investors.

The Role

We have more data than we have time to make sense of: sales call recordings, customer usage patterns, market signals, operational metrics, and a dozen other sources that contain real insight if someone actually digs into them. We need a sharp, resourceful researcher who can take ambiguous questions, figure out where the answers live, and come back with something useful.

This is not a single-project internship. You'll work directly with the CTO on whatever analytical problems are most important that week. Some will be qualitative, others quantitative. One week you might be coding an LLM pipeline to analyze transcripts from enterprise sales calls to find patterns in how customers talk about their problems. The next you might be sizing a new market segment, benchmarking competitors, or building a dataset from scratch to answer a strategic question nobody's had time to answer.

What You'll Do

• Take loosely defined questions and turn them into structured analysis. You'll figure out the right methodology and data sources.
• Work across qualitative and quantitative data: call transcripts, usage data, market research, financial models, whatever the problem requires.
• Produce deliverables that are clear enough to drive decisions: specific findings with evidence and recommendations.
• Move fast across a variety of projects rather than going deep on one thing for twelve weeks.

What We're Looking For

• Graduate student (Master's or advanced PhD) in HCI, Information Science, Cognitive Science, Computational Social Science, Applied Linguistics, Business Analytics, Machine Learning or a related field.
• Strong research instincts: you know how to approach a question you've never seen before and figure out a reasonable way to answer it.
• Comfort with both qualitative methods (thematic analysis, coding, synthesis) and quantitative work (data manipulation, basic statistical analysis, visualization)
• Enough technical skill to pull and wrangle data yourself (Python, SQL, LLMs) or the ability to pick it up fast. Self-sufficiency matters.
• Clear, direct, thoughtful communication. We care about what you found and what it means, not how many frameworks you can reference.
• High tolerance for ambiguity and context-switching.

What We're Not Looking For

• Someone who needs a tightly scoped project brief and a clean dataset on day one.
• Pure data science without interest in what the data actually means.
• Someone optimizing for an academic publication rather than business impact.

Why This Is a Great Internship

• Genuine variety: you won't get bored, and you'll leave with a portfolio of very different analytical projects.
• Direct access to senior leadership; short feedback loops between your work and company decisions.
• Exposure to enterprise sales, product strategy, and computer vision / AI at a high-growth startup.
• The problems are real and unsolved — your work will influence actual decisions, not sit on a shelf.

To Apply

Include a brief note (a few sentences is fine) on: a time you took an ambiguous, messy problem and figured out how to make sense of it: what was the situation, what did you do, and what came out of it? A portfolio, writing sample, GitHub or arxiv link, or link to relevant coursework is welcome but not required.