For PhD-level researchers and research engineers who publish and ship code.
Domain: Networked Systems (congestion control, datacenter networking, programmable networks and cluster scheduling)
The work
Hands-on research coding in your own area, close to the work you already do. Each task is self-contained, and the project lead walks you through the full scope and a worked example once you're onboarded. Work is asynchronous, so you can fit it around your own research.
Application process
Candidates who meet the requirements and provide the requested materials will be prioritised for review. As part of this process we conduct thorough background checks. Please apply only if you meet these requirements.
Why apply
Hands-on research coding in your own field.
Fully remote, asynchronous and flexible.
$200 per approved task, about 4 hours each.
Responsibilities
Build technical research coding tasks in networked systems.
Review and give feedback on AI model outputs in your area.
Work with the project lead to keep tasks at research quality.
Preferred skills
Comfortable with Docker and reproducible research environments.
Depth in congestion control, datacenter networking, programmable networks and cluster scheduling.
Experience and education
Requirements
Experience: published research with released code in networked systems.
Education: PhD in CS or a related field, completed or in progress.
Published research at venues such as NSDI, SIGCOMM, IMC or CoNEXT, or comparable.
Released research code (GitHub or artifact link).
PhD in computer science or a related field, completed or in progress.
Meets the experience and education bar described in Full Description.
Preferred qualifications
First-author publications in your area.
Schedule details
Work is asynchronous, so you can fit it around your own research.
Eligibility
Work arrangement: Fully remote
Compensation details
$50/hr.
$200 per approved task, about 4 hours each ($50/hr equivalent).
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