Frontier-Style Task Creator $30 per task -- 4

Employer not named by the sourceRemote

Full Stack

Apply on the company’s site

Frontier is not the employer and does not collect applications.

About this role

Java, Engineering, Verilog / VHDL, Software Testing, Git, Backend Development, Software Engineering, AI Development · Software Engineering Task Author (Contract) About the Role

We're looking for an experienced software engineer to design and build Frontier-style software engineering tasks — long-horizon, repository-based coding challenges used to train and evaluate AI coding agents. You'll take real engineering problems from your own area of expertise and turn them into rigorous, verifiable tasks: a seeded repository, a clear public specification, and an automated grader that checks observable behavior (builds, hidden test suites, protocol conformance, concurrency/recovery scenarios, deterministic replay, numeric budgets, etc.).

This is deep, research-grade work — closer to writing a hard systems/algorithms exam with an autograder than to typical QA or content work.

What You'll Do Design non-trivial engineering problems grounded in real-world systems (e.g., concurrency bugs, recovery/consistency issues, legacy modernization, protocol implementation, performance-constrained rewrites). Build a starter repository, write a complete public specification (instruction.md), and implement a reference solution that solves the task correctly. Write automated grading code that measures exactly what the ins