Live opening · Posted 5 days ago

Terminal-Bench Expert | $300/task

Codefeast · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyCodefeast
LocationIndia (Remote)
Work modeYes
SourceLinkedin
ListedPosted 5 days ago

About the role

Description supplied by the original job listing.

Terminal-Bench 3.0 Expert – Senior Technical & Domain Specialist
Experience: 6+ Years, depending on domain
Job Type: Contractor
Compensation: $300 per approved task
Domain: Coding | Machine Learning | Media | Systems | Security | Hardware | Operations/Finance | Science
Role Overview
We are looking for experienced Terminal-Bench 3.0 Experts to design, implement, test, and validate high-quality benchmark tasks across technical and scientific domains.
Prior hands-on experience working on Terminal-Bench 3.0 projects is mandatory. Candidates without previous Terminal-Bench experience will not be considered.
Key Responsibilities
Design realistic, multi-step Terminal-Bench 3.0 tasks based on domain-specific workflows.
Build reproducible, self-contained computational environments with pinned dependencies.
Create datasets, configurations, simulations, parameters, or other task-specific inputs.
Implement expert reference solutions using programming languages or domain-specific tools.
Develop automated tests, graders, and validation criteria.
Universal Requirements
Previous hands-on Terminal-Bench 3.0 experience – Mandatory.
Bachelor’s degree from a Top 100 institute/university in the country.
Must meet the experience and educational requirements for at least one eligible domain.
Strong analytical, technical, documentation, and problem-solving skills.
Ability to independently handle task creation, implementation, testing, and validation.
Preferred Skills
Experience evaluating AI coding agents or terminal agents.
Experience creating benchmark tasks, automated graders, or evaluation pipelines.
Research Software Engineering experience.
Publications or open-source contributions involving computational science.
Experience converting research or experimental workflows into reproducible computational packages.

Work arrangement
Yes

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