Description review

Puzzle Solver (Coding)

micro1 · Remote · back to the listing

HR standards

73/100

solid

Title ↔ description

68/100

needs work

Reads as

Unclear

no confident match

What the listing never says

  • 24 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Puzzle Solver (Coding)

Pay: $50–$80/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible—you choose the hours and days you work, including weekends if desired

We are looking for highly skilled coding 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

• Solve self-contained coding, logic, debugging, and technical reasoning challenges.

• Analyze unfamiliar problems and translate their requirements into implementable solutions.

• Select appropriate algorithms, data structures, and problem-solving strategies.

• Work inside terminal-based development environments and existing codebases.

• Implement correct and efficient solutions using an appropriate programming language.

• Identify ambiguous requirements, edge cases, hidden assumptions, and failure conditions.

• Debug incorrect behavior across code, tests, dependencies, and environment configuration.

• Develop tests and verification methods that distinguish genuinely correct solutions from superficially plausible ones.

• Review AI-generated solutions and identify logic errors, incomplete reasoning, and constraint violations.

• Produce clear, reproducible solutions that can be executed and evaluated automatically.

• Explain reasoning, implementation decisions, and trade-offs clearly

Required Qualifications

• Strong algorithmic problem-solving ability.

• Proficiency in at least one general-purpose programming language, such as C++, Python, Java, Rust, Go, C#, JavaScript, or TypeScript.

• Strong understanding of common data structures and algorithms.

• Ability to reason carefully about constraints, complexity, edge cases, and correctness.

• Experience debugging unfamiliar code or solving technically ambiguous problems.

• Ability to work independently in terminal-based development environments.

• Ability to produce reproducible, testable software solutions.

• Clear written and verbal technical communication.

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

Process

• Apply to the role and complete the screening questions.

• Complete an AI interview of approximately 30 minutes.

• Complete a technical assessment, if required.

• 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

• 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.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 16 points (from 89 before penalties). Reviewed 21 Sep 2026.