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24-MAG

Research Engineer – Code Generation, Model Evaluation

24-MAG

. Analyse, debug, and resolve technical issues across diverse software codebases .

Posted 9/15/2026part-timeRemote • New York • United StatesMid-LevelSenior💰 $50 - $100 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong expertise in competitive programming and software engineering, with advanced proficiency in Python3, Java, Rust, C++, Go, or TypeScript. Capable of analyzing and debugging complex coding issues while producing high-quality, well-documented code within demanding timelines.

Highest-signal resume keywords
Competitive Programming ExpertiseAdvanced Proficiency in Python3, Java, Rust, C++, Go, or TypeScriptSolid Understanding of Algorithms and Data StructuresExperience with Debugging and Performance OptimisationExcellent Written and Verbal Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Competitive ProgrammingDebuggingFeature ImplementationCode RefactoringPerformance OptimisationAlgorithmsData StructuresSoftware Engineering FundamentalsCode ValidationAI Model Evaluation
Soft Skills
Attention to DetailClear CommunicationCollaborationKnowledge SharingIndependent Work
Industry Keywords
Open-Source ContributionsTechnical DocumentationSoftware CodebasesTechnical StakeholdersRemote Work

Tech Stack

Tools & technologies
JavaRustTypeScriptC++Go

About the role

Key responsibilities & impact
  • Analyse, debug, and resolve technical issues across diverse software codebases
  • Investigate bugs, implementation failures, incorrect behaviour, and edge cases
  • Apply algorithmic reasoning and data-structure knowledge to complex coding problems
  • Evaluate solution paths and select appropriate technical approaches
  • Design and implement new features and technical enhancements
  • Refactor codebases to improve maintainability, clarity, and adaptability
  • Optimise code for performance, efficiency, and reliability
  • Review implementation decisions and identify architectural or technical improvements
  • Produce high-quality, well-structured code that can be tested and evaluated consistently
  • Develop and review realistic coding tasks used to evaluate AI model capabilities
  • Assess AI-generated code for correctness, completeness, performance, and technical quality
  • Identify logic errors, implementation weaknesses, constraint violations, and incomplete solutions
  • Validate generated outputs against expected behaviour and objective technical requirements
  • Author feedback and annotations supporting AI model training and evaluation
  • Document technical decisions, best practices, implementation details, and problem-solving approaches
  • Collaborate with technical stakeholders and open-source contributors
  • Communicate complex engineering concepts clearly in written and verbal form
  • Contribute to knowledge-sharing and consistent technical standards

Requirements

What you’ll need
  • Strong expertise in competitive programming, coding problem analysis, or technically demanding software engineering
  • Advanced proficiency in at least one of Python3, Java, Rust, C++, Go, or TypeScript
  • Solid understanding of algorithms, data structures, complexity, and software-engineering fundamentals
  • Proven track record of open-source contributions or participation in collaborative software projects
  • Experience with debugging, feature implementation, code refactoring, or performance optimisation
  • Excellent written and verbal communication skills
  • Ability to explain technical decisions and reasoning clearly and precisely
  • Strong attention to detail in code validation, correctness, and output consistency
  • Comfortable working independently within a remote and collaborative environment
  • Ability to produce high-quality, well-documented work within demanding timelines
  • No prior experience in AI research or model training is required
  • Minimum weekly submission requirements apply
  • Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party

Benefits

Comp & perks
  • Part-time independent contractor engagement
  • Fully remote work
  • Output-based compensation for tasks meeting project specifications
  • Flexible project workload and task complexity depending on experience and workflow