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

Vetto; United States; Remote; USD 67,000 - 134,000; Full time

Job summary

Vetto is seeking experts in life or physical sciences who can articulate real episodes and define how results are checked by programs. You will work with a software engineer to convert episodes into tasks and illustrate common mistakes a newcomer might make, using anonymized data where needed.

The role emphasizes transparent, verifiable analysis in a remote, task-based project; experience with AI-guided interviews is a plus for this collaboration.

Qualifications

• MSc/PhD or 3-5 years practice in life or physical sciences relevant to the role.
• Proficiency with Python or R for analysis and scripting.
• Nextflow or Snakemake workflow management is a plus.

Responsibilities

• Share real episodes from your work with concrete detail (files, tools, data formats, numbers).
• Define what a correct result looks like and how it could be checked by a program.
• Collaborate with a software engineer to turn your episode into a task and review it for correctness.
• Point out common pitfalls a smart but inexperienced person might encounter.
• Replace confidential data with realistic, made-up examples.

Skills

Bioinformatics

Computational biology

Python

R

Nextflow

Snakemake

Education

MSc/PhD or 3-5 years experience

Tools

Nextflow

Snakemake

Python

R

Job description

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.

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.

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

Project Details

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

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