Algorithms and Theory Researcher (Research Coding Tasks)
Role Overview
Paid, remote contract work turning published algorithms research into coding tasks for frontier AI agents.
For PhD-level researchers and research engineers who publish and ship code.
Domain: Algorithms and Theory (graph, approximation, streaming and online algorithms with reference implementations)
Key Skills for This Role
Full Job Posting
Job Description
Paid, remote contract work turning published algorithms research into coding tasks for frontier AI agents. For PhD-level researchers and research engineers who publish and ship code.
Domain: Algorithms and Theory (graph, approximation, streaming and online algorithms with reference implementations)
Requirements
- Experience: published research with released code in algorithms
- Education: PhD in CS or a related field, completed or in progress
The work
You start from a recent paper with released code, ideally your own. You remove the code that implements the paper's core contribution and package the rest as a task where an AI agent must rebuild it and beat the authors' results on the paper's own benchmarks. You write the task statement, define held-out evaluation workloads and per-metric pass thresholds, and supply a hidden reference solution plus a second solution showing the bar can be beaten. Later, you review agent attempts on your task.
Pay
$80/hr. Each task takes a few hours.
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
Work with your own research in a new format
Fully remote, asynchronous and flexible
$80/hr, with each task taking a few hours
Responsibilities
- Turn a published paper with code into an agent-solvable research coding task
- Define held-out workloads, per-metric thresholds, a reference solution and a solution that beats the bar
- Review AI agent attempts on your task
Required Qualifications
- Published research at venues such as SODA, STOC, FOCS, ESA or ICALP, or comparable
- Released code for at least one of your papers (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 papers reporting measured improvements over a baseline
- Comfortable with Docker and reproducible benchmark setups
- Depth in graph, approximation, streaming and online algorithms with reference implementations
About AfterQuery
AfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. We believe great AI comes from exceptional, human-generated data.
We're backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.
Apply today to contribute to pushing the frontier of AI.
About AfterQuery
AfterQuery is an AI applied research lab serving frontier model developers with training data and evaluation systems.
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