Domain Specialists (Science, Operations, Hardware, Media) — Task Ideation

About the Opportunity

## About the Project
We build hard, verifiable tasks that AI agents must solve on a computer: analyze the data, run the simulation, fix the model, produce the report. Each task has an environment with files and tools, an instruction, and a check that a program can run to tell whether the result is correct.

AI agents know the textbook. They still fail where experience matters: the instrument quirk nobody documents, the business rule that only applies at month-end, the result that looks right and isn't. You know where those are.

**You don't need to be a software engineer.** You work in pairs with a software engineer who builds the environment and the tests. Your part is the expertise: real episodes from your work, what a correct result looks like, and where a smart newcomer would go wrong. Much of this is captured through an AI-guided interview.

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## Who we're looking for
- **Life Sciences:** bioinformatician or computational biologist (genomics, proteomics, structural biology) who writes analysis code in Python or R. MSc/PhD or 3–5 years of practice. Nextflow or Snakemake a plus.
- **Physical Sciences & Chemistry:** analytical or computational chemist, physicist or earth scientist who uses code as a tool. MSc/PhD with lab or simulation practice, currently doing research. Owning unpublished data helps.
- **Formal Methods & Algorithms:** mathematician or computer scientist: Lean/Coq formalizer, ICPC or olympiad competitor, or operations-research modeler. MSc/PhD in mathematics or computer science.
- **Operations:** business professional who codes a little, with 5+ years in claims and insurance, regulatory-risk quant, trade compliance, logistics, production planning or marketing analytics. A domain degree or certification; you have automated part of your own job (SQL, Python or advanced Excel).
- **Hardware & Robotics:** mechanical, electrical or robotics engineer: scripted CAD (FreeCAD, build123d), RTL/FPGA (Verilog), or robotics (Drake, ROS). BSc/MSc in a related field.
- **Media:** music theorist with a graduate degree (harmony, voice leading), or audio/DSP engineer with an MSc/PhD in MIR/DSP.

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## Responsibilities
- Share real episodes from your work through AI-guided interviews, with concrete detail (files, tools, data formats, numbers)
- Define what a correct result looks like and how it could be checked by a program
- Work with a software engineer to turn your episode into a task, and review the task for correctness in your field
- Point out where a smart but inexperienced person would go wrong
- Replace any confidential or unpublished data with realistic, made-up examples

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## Project Details
Remote, task-based work in Vetto Arena. Compensation is paid per approved task.

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*If you know where AI gets your field wrong, this project is for you.*

Who Can Apply

- Proven, hands-on experience in one of the fields above, in research or industry
- Part of your real work happens on a computer: data files, analysis scripts, simulations, models, spreadsheets or design tools
- Comfortable working fully in English (reading and writing)

**Nice to have**
- Publications with code, open-source contributions in your field, or competition results
- Experience automating parts of your own work
- Basic familiarity with the command line

Languages

EN