Research Crawling Engineer

We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.

We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.

We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.

Overview

As a Research Crawling Engineer, you will design and operate large-scale web data acquisition systems for research and model development. Your work will span distributed systems, scraping infrastructure, and data pipelines.

Why Work With Us

Opportunity. We are at the forefront of developing a web-scale crawler and knowledge graph that improves access to public web data and extends the value of AI to the people.

Culture. We're a lean team with a high bar. We come to work not to be comfortable, but to find out what we're capable of and to do work that matters. We're not calling for people who keep things moving. We're calling for people who make everyone around them better.

We prioritize low ego and high output. This is a fully remote team.

Please note: This role requires a work schedule that sufficiently overlaps with EST business hours to collaborate effectively with the team.

Evaluation Criteria

Example Projects

Based on experience and demonstrated ability to operate at scale

Compensation. You’ll receive a competitive salary & benefits.