Remote Codeforces Problem Setter | Advanced C++ CP

Micro1; United States; Remote; USD 62,000 - 90,000; Part time

Job summary

micro1 is a data lab that helps AI labs and enterprises train foundational models with evaluation environments. We are seeking a Codeforces Problem Setter to create original competitive programming problems with reference solutions and robust test suites.

The role emphasizes advanced C++, strong CP credentials, and the ability to design demanding tasks for top judges. You will develop Reinforcement Learning Environments that test model problem-solving on hard algorithmic tasks, write reference

Qualifications

• Strong competitive programming background and advanced C++.
• Experience with competitive programming platforms and problem setting.
• Ability to reason about constraints, complexity, and edge cases.
• Attention to detail in validation and output consistency.
• Clear written English for documenting problems and edge cases.
• Independent work style and ability to meet deadlines.
• Prior experience as a problem setter, tester, or checker is a strong plus.

Responsibilities

• Design original competitive programming problems absent from major judges.
• Write a correct reference solution and verify it against constraints.
• Build robust test suites covering edge cases and maximum constraints.
• Implement checkers for problems with multiple valid outputs.
• Document the intended solution, complexity, and reasoning behind tests.
• Review problems from other contributors for correctness and coverage.
• Flag ambiguous problems or those with unintended solutions.

Skills

Basics C++

C++

Competitive Programming

CodeForces Handle

Open Source Contributions

Job description

micro1 is a data lab that helps AI labs and enterprises train foundational models with evaluation environments. We are seeking a Codeforces Problem Setter to create original competitive programming problems with reference solutions and robust test suites.

The role emphasizes advanced C++, strong CP credentials, and the ability to design demanding tasks for top judges. You will develop Reinforcement Learning Environments that test model problem-solving on hard algorithmic tasks, write reference