About The Position

This part-time, fully remote independent contractor consulting opportunity supports an advanced AI training project focused on algorithmic reasoning, debugging, constrained technical problems, and reproducible software solutions. Selected professionals solve self-contained coding and technical challenges intended to test and improve advanced AI systems. Work can involve exploring unfamiliar codebases or terminal environments, interpreting objectives, implementing and testing solutions, identifying edge cases and hidden constraints, and producing results that can be evaluated objectively. The engagement is approximately 15 hours per week, with a flexible schedule and the ability to choose working days and hours. Compensation is $50–$80 per hour and is output-based: payment is made for tasks that meet project specifications. Task completion time may vary, minimum submission requirements apply, and selected professionals should be ready to begin their first task approximately 24–48 hours after onboarding. Work must not use confidential or proprietary information belonging to an employer, client, institution, or other third party. The opportunity is available through 24-MAG LLC, which connects experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. The selection process may include screening questions, an approximately 30-minute AI interview, a technical assessment where required, and hiring-manager review.

Requirements

  • 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 computational complexity, constraints, edge cases, and correctness.
  • Experience debugging unfamiliar code or solving technically ambiguous problems.
  • Comfort working independently in terminal-based development environments.
  • Ability to produce reproducible and testable software solutions.
  • Clear written and verbal technical communication skills.

Nice To Haves

  • Competitive-programming experience is advantageous.
  • A public or otherwise verifiable Codeforces profile demonstrating meaningful competitive-programming experience is beneficial but not required.

Responsibilities

  • Solve self-contained coding, logic, debugging, and technical reasoning challenges.
  • Analyze unfamiliar problems and translate requirements into implementable technical solutions.
  • Select appropriate algorithms, data structures, and problem-solving strategies.
  • Reason about constraints, complexity, edge cases, correctness, ambiguous requirements, hidden assumptions, and potential failure conditions.
  • Work in terminal-based development environments and unfamiliar codebases to implement correct and efficient solutions using an appropriate programming language.
  • Debug incorrect behavior across code, tests, dependencies, and environment configuration; investigate failures methodically and determine underlying causes.
  • Produce software solutions that are reproducible, testable, and suitable for automated evaluation.
  • Develop tests and verification methods to distinguish correct solutions from superficially plausible ones.
  • Evaluate solutions against explicit and hidden constraints and validate functional correctness, robustness, and expected behavior across edge cases.
  • Review technical outputs for completeness and reproducibility, and document verification approaches clearly for independent assessment.
  • Review AI-generated code and technical solutions for logic errors, incomplete reasoning, and constraint violations.
  • Identify plausible-looking generated solutions that fail under deeper testing; evaluate implementation choices, algorithmic reasoning, and technical trade-offs.
  • Explain why proposed solutions succeed or fail and provide written reasoning that can support improvements in AI coding performance.
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