Networked Systems Researcher (Research Coding Tasks)

$80/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Worldwide
Field: STEM and Coding

Turn published networked systems research and released code into benchmarked coding tasks for frontier AI agents. The work includes removing a paper’s core implementation, building hidden evaluations and reviewing agent attempts.

The work

Start from a recent networked systems paper with released code, ideally your own. Remove the implementation of its core contribution, package the remaining repository as an agent-solvable task, write the task statement and preserve enough infrastructure for reproducible benchmarking.

Evaluation design

Define held-out workloads, per-metric pass thresholds and a hidden reference solution. You will also provide a second solution that beats the stated bar, then review agent attempts for correctness, benchmark performance and possible exploitation of the evaluation setup.

Screening and logistics

The platform screens for a PhD in computer science or a related field, completed or in progress, plus verifiable networked systems publications with released code. Expect detailed follow-ups about congestion control, datacenter networking, programmable networks or cluster scheduling, along with questions about benchmark design and measured improvements over baselines. The contract is fully remote, asynchronous and flexible, with each task typically taking a few hours.

Pay band: $80/hr

What they look for

Published networked systems research with released code
PhD in computer science or a related field, completed or in progress
Networked systems benchmark and workload design
Per-metric threshold setting and comparative evaluation
Reproducible research code and benchmark packaging
Review of AI-generated systems code

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your claimed publication record and code contribution can be verified and whether the project falls within the relevant systems domain.
A strong answer: Name the paper, venue, year and repository or artifact, then state your authorship role and the specific components you implemented or maintained. Briefly identify the paper’s core contribution and benchmark environment.
Where people lose it: Candidates lose points by naming a paper without a usable code artifact, giving a repository they did not materially contribute to or leaving their own role ambiguous.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

STEM AND CODING on Sidequest

What stem and coding AI work pays

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