Puzzle Solver (Coding)

We are looking for highly skilled competitive puzzle solvers to contribute to an AI training project involving algorithmic reasoning, debugging, constrained technical problems, and reproducible software solutions.

The work involves solving self-contained coding and technical challenges designed to test the capabilities of advanced AI models. A representative task may require exploring an unfamiliar codebase or terminal environment, understanding a precise objective, implementing a solution, testing it against hidden or explicit constraints, and producing a reproducible final result.

What You’ll Work On

1. Solve self-contained coding, logic, debugging, and technical reasoning challenges.
2. Analyze unfamiliar problems and translate their requirements into implementable solutions.
3. Select appropriate algorithms, data structures, and problem-solving strategies.
   

Required Qualifications

1. A Codeforces profife is a must
2. Strong understanding of common data structures and algorithms.
3. Ability to reason carefully about constraints, complexity, edge cases, and correctness.
4. Experience debugging unfamiliar code or solving technically ambiguous problems.
   

A public or otherwise verifiable Codeforces profile demonstrating meaningful competitive-programming experience is nice to have.

Process

1. Apply to the role and complete the screening questions.
2. Complete an AI interview of approximately 30 minutes.
3. Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability

1. We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

About micro1

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.