We are sharing a specialised consulting opportunity for experienced Competitive Coders with strong expertise in C++, algorithmic problem solving, checker development, test-case design, edge-case analysis, and competitive-programming evaluation to contribute to an advanced AI training and reinforcement-learning project.

Selected professionals will create original competitive-programming problems, develop reference solutions, build robust test suites, and design reinforcement-learning environments that test an AI model's ability to solve complex algorithmic tasks. The work requires deep competitive-programming judgement, advanced C++ proficiency, and meticulous attention to correctness across constraints, outputs, checkers, and edge cases. No prior experience in AI is required.

Key Responsibilities

Competitive Programming Problem Design

• Create original competitive-programming problems
• Develop tasks that are not duplicated from existing online judges
• Define clear problem statements, constraints, and expected behaviour
• Design problems requiring substantive algorithmic reasoning
• Ensure tasks are technically rigorous and objectively verifiable

Reinforcement Learning Environment Development

• Create environments that test AI performance on complex coding problems
• Define measurable success criteria
• Build deterministic evaluation workflows
• Support reliable assessment of model-generated solutions
• Ensure environments reflect realistic competitive-programming challenges

Reference Solution Development

• Implement correct and efficient reference solutions
• Validate solutions against stated constraints
• Analyse time and space complexity
• Confirm reference behaviour across normal and adversarial cases
• Maintain clear and maintainable C++ implementations

Checker Development

• Design and implement custom checkers
• Handle problems with multiple valid outputs
• Ensure checker logic is deterministic and robust
• Validate output correctness across diverse solution formats
• Prevent false positives and false negatives in evaluation

Test Suite Design

• Develop comprehensive test suites
• Cover edge cases, corner cases, and boundary conditions
• Create adversarial tests targeting common solution weaknesses
• Ensure tests distinguish correct from partially correct implementations
• Validate test coverage against reference and intentionally flawed solutions

Submission Evaluation

• Review and validate participant or model-generated submissions
• Compare implementations against problem requirements
• Identify logical, algorithmic, or implementation errors
• Assess handling of constraints and edge cases
• Verify output consistency and correctness

Algorithmic Analysis

• Analyse multiple possible solution paths
• Evaluate complexity trade-offs
• Identify optimal or acceptable algorithms
• Detect hidden assumptions in proposed approaches
• Distinguish valid alternative solutions from incorrect reasoning

C++ Engineering

• Develop reliable evaluation and checker code in C++
• Write maintainable and efficient implementations
• Handle input/output constraints carefully
• Debug subtle correctness and performance issues
• Apply strong competitive-programming coding practices

Problem Validation & Ambiguity Review

• Review problem statements for ambiguity
• Identify underspecified constraints or unclear requirements
• Clarify behaviour for edge cases
• Ensure problem statements support objective evaluation
• Recommend revisions before tasks are finalised

Peer Review & Feedback

• Review problems, checkers, and test cases created by other contributors
• Identify weaknesses in task construction
• Suggest improvements to validation logic
• Provide actionable feedback to problem setters and reviewers
• Maintain consistent technical standards across project content

Documentation & Communication

• Document checker logic and evaluation behaviour
• Explain edge cases and technical decisions clearly
• Communicate algorithmic reasoning in written and verbal formats
• Support collaboration with project teams
• Maintain clear technical records for review and iteration

Ideal Profile

• Strong competitive-programming background
• Advanced C++ proficiency
• Deep understanding of algorithms and data structures
• Strong ability to analyse complex problem constraints
• Experience reasoning across multiple valid solution paths
• Strong checker and test-case design skills
• Ability to identify subtle edge cases
• Excellent debugging and validation skills
• Strong attention to output correctness and consistency
• Ability to write clear and maintainable C++ code
• Exceptional analytical and problem-solving ability
• Strong written and verbal communication skills
• Comfortable working independently in a remote environment
• Able to produce high-quality technical work under tight deadlines
• Prior experience as a problem setter, tester, or checker on major competitive-programming platforms is highly advantageous
• No prior AI-training or model-evaluation experience is required

Engagement Details

• Part-time independent contractor engagement
• Fully remote
• Expected commitment: 15+ hours per week
• Displayed compensation range: $45–$65/hour
• Actual compensation structure is output-based, with payment made per task that meets project specifications
• Task completion time may vary depending on individual experience and workflow
• Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
• Work will involve competitive-programming problem design, C++, checker development, reference solutions, test suites, reinforcement-learning environments, and AI-generated code evaluation
• Strong competitive-programming and algorithmic problem-solving ability is central to this engagement
• Roles are typically filled within approximately 48 hours
• Selected experts are expected to begin initial tasks within approximately 24–48 hours after onboarding
• Project scope, task difficulty, algorithms, evaluation criteria, and testing requirements may evolve depending on project needs
• Work must be completed without using confidential, proprietary, restricted, private-contest, or otherwise protected problem content or source code belonging to any employer, contest platform, client, research organisation, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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