Parallel Algorithms and HPC Researcher (Research Coding Tasks)

Paid, remote contract work with AfterQuery, building and reviewing technical tasks that help test AI models in parallel algorithms and HPC. For PhD-level researchers and research engineers who publish and ship code. Domain: Parallel Algorithms and HPC (MPI, OpenMP, sparse linear algebra, parallel graph algorithms and GPU solvers) Requirements Experience: published research with released code in parallel algorithms and HPC Education: PhD in CS or a related field, completed or in progress 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. Pay $200 per approved task, about 4 hours each ($50/hr equivalent). 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. Responsibilities

• Build technical research coding tasks in parallel algorithms and HPC
• Review and give feedback on AI model outputs in your area
• Work with the project lead to keep tasks at research quality

Required Qualifications

• Published research at venues such as SC, PPoPP, IPDPS, SPAA or ICS, 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
• Comfortable with Docker and reproducible research environments
• Depth in MPI, OpenMP, sparse linear algebra, parallel graph algorithms and GPU solvers

Why apply

• Hands-on research coding in your own field
• Fully remote, asynchronous and flexible
• $200 per approved task, about 4 hours each