Key Skills

Job Description

Turn computational work from your own biology research into paid evaluation tasks for AI models. Open to research-track Bachelor's students, Master's and PhD students, postdocs, and recent graduates. AfterQuery is building a network of researchers to author and validate research-grade scientific-computing tasks for AI models. A strong task is a real piece of computational work from your own research, something you've actually run and debugged: an analysis pipeline, a dynamical model of a biological system, a molecular or structural simulation, or a statistical inference method you implemented and validated. Each task has a main problem, a few connected subproblems, a Python reference solution, and tests that check the result. The difficulty should come from the biology itself, not from withheld information. We're looking for researchers in: genomics and bioinformatics (including single-cell and transcriptomics); systems biology and biochemical networks; structural biology and molecular biophysics; computational neuroscience; ecology and population dynamics; epidemiology and infectious disease modeling; biostatistics; biomechanics and physiological modeling; and quantitative pharmacology. Requirements Education: A Bachelor's student on a research track or with research experience (such as an REU, a thesis, or an RA or lab role), a Master's or PhD student, a postdoc, or a recent graduate in biology, bioinformatics, biostatistics, biomedical engineering, or a closely related field. Technical: Hands-on experience writing your own code, preferably Python, to build analysis pipelines or models of biological systems. Wet-lab work or running standard tools without your own code isn't enough. Work authorization: Must be able to work as an independent contractor without visa sponsorship. Students on F-1 visas (including OPT/CPT) are not eligible. Contract and pay Flexible, independent-contractor work: $200 per approved task, about 2 hours each, with no cap on how many tasks you take on. Tasks go through review, and you may also review other experts' tasks against a short rubric. All accepted experts undergo standard background and identity verification. Responsibilities Design and author original research-grade evaluation tasks based on your own computational work Specify the metrics a strong solution should be judged by, without publishing the exact passing thresholds Revise tasks based on structured review feedback until they're approved Optionally review and calibrate tasks submitted by other experts in your domain Required Qualifications Bachelor's student on a research track or with research experience, Master's or PhD student, postdoc, or recent graduate in biology, bioinformatics, biostatistics, biomedical engineering, or a closely related field Has written their own code, preferably in Python, to build analysis pipelines or models of biological systems Able to turn your own computational research into a well-specified task with a reference solution and tests Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule Preferred Qualifications Research experience in systems or structural biology, computational neuroscience, epidemiology, or ecological modeling Public code, a thesis, or papers that show your computational work Prior experience in data annotation, data labeling, or AI/ML evaluation work Why apply Work on your own schedule: task-based, not a fixed hourly commitment Contribute directly to how AI models are evaluated on real, expert-level scientific work Paid, flexible work: $200 per approved task (about 2 hours each), no cap on how many you take on

Core Responsibilities

Design original, research-grade evaluation tasks based on computational work from your own biology research, including a reference solution, tests, and evaluation metrics. Revise tasks in response to review feedback and optionally review or calibrate tasks submitted by other experts.

Requirements

Applicants must be research-track bachelor's students with research experience, master's or PhD students, postdocs, or recent graduates in a relevant biological or quantitative field. They must have written their own code, preferably in Python, to build biological analysis pipelines or models, and be able to work independently as a contractor without visa sponsorship.