We are sharing a specialised part-time consulting opportunity for experienced Software Engineers with strong code-review, debugging, and AI-assisted development experience across backend or full-stack systems.
This role focuses on evaluating end-to-end software development sessions produced with AI-assisted coding tools. Selected engineers will review code, development workflows, debugging decisions, and multi-step implementation trajectories for correctness, technical quality, and sound engineering practice, then provide clear rubric-based feedback.
Key Responsibilities
Software Development Review
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Evaluate complete software development sessions from initial requirements through implementation
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Assess whether resulting code is functionally and technically correct
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Review implementation choices for maintainability, reliability, and engineering quality
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Identify bugs, incomplete solutions, or problematic technical assumptions
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Apply practical software engineering judgement across realistic development scenarios
Code Review & Debugging
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Review backend or full-stack code for correctness and implementation quality
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Identify logical errors, regressions, edge cases, and debugging gaps
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Assess whether debugging approaches efficiently identify and resolve underlying problems
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Evaluate proposed fixes for completeness and technical soundness
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Distinguish substantive engineering issues from minor stylistic differences
AI-Assisted Development Workflows
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Evaluate coding sessions performed with AI-assisted developer tools
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Review how developers interact with coding assistants throughout implementation and debugging
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Assess agentic and specification-driven development workflows
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Identify ineffective prompting, unnecessary iteration, or poor use of available development context
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Evaluate whether AI-generated suggestions are appropriately verified before implementation
Development Trace Evaluation
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Review multi-step coding trajectories rather than isolated code snippets
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Assess the sequence of investigation, implementation, testing, and refinement
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Determine whether development decisions follow a coherent and effective workflow
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Identify points where a stronger engineering approach should have been taken
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Evaluate both final outcomes and the process used to reach them
Technical Reasoning & Best Practices
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Assess engineering decisions against established software development practices
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Evaluate architecture, implementation strategy, testing, and debugging choices
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Review whether assumptions are appropriately validated during development
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Identify unnecessary complexity or technically weak approaches
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Apply professional judgement to ambiguous or imperfect coding scenarios
Rubric-Based Evaluation
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Assess development traces against structured project criteria
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Provide clear written explanations supporting evaluation decisions
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Identify specific evidence within the development session for each judgement
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Apply scoring and review standards consistently across assignments
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Distinguish correct but unconventional approaches from genuinely flawed implementations
Developer Tools & Engineering Workflows
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Work with development sessions involving tools such as Cursor, GitHub Copilot, Claude Code, or comparable AI-assisted coding environments
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Evaluate workflows involving repositories, specifications, code changes, debugging, and testing
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Assess how developers use tooling to investigate and modify existing systems
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Review interactions between automated assistance and human engineering judgement
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Contribute practical insight into effective developer-tool workflows
Ideal Profile
- 3+ years of professional software development experience
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Strong background in backend or full-stack software engineering
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Hands-on experience with AI-assisted coding tools such as Cursor, GitHub Copilot, Claude Code, or similar platforms
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Experience with agentic or specification-driven development workflows
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Strong code-reading and debugging skills
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Ability to evaluate multi-step software development trajectories for correctness and best practice
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Strong written communication and ability to provide precise technical feedback
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Experience with Kiro or Amazon CodeCatalyst is preferred
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Previous experience evaluating or grading AI-generated code is advantageous
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Contributions to developer tooling are advantageous
Engagement Details
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Part-time independent contractor engagement
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Fully remote within the United States
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Flexible scheduling based on project requirements
- Compensation: $60–$80/hour
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Work focuses on software development trace evaluation, code review, debugging, AI-assisted development workflows, and technical quality assessment
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Projects may be extended, shortened, or concluded based on project needs and performance
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Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
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H1-B and STEM OPT support is unavailable for this engagement
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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