Remote | Software Engineer (AI-Assisted Development) — $60–$80/hour

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 Evaluate complete software development sessions from initial requirements through implementation Assess whether resulting code is functionally and technically correct Review implementation choices for maintainability, reliability, and engineering quality Identify bugs, incomplete solutions, or problematic technical assumptions Apply practical software engineering judgement across realistic development scenarios Code Review & Debugging Review backend or full-stack code for correctness and implementation quality Identify logical errors, regressions, edge cases, and debugging gaps Assess whether debugging approaches efficiently identify and resolve underlying problems Evaluate proposed fixes for completeness and technical soundness Distinguish substantive engineering issues from minor stylistic differences AI-Assisted Development Workflows Evaluate coding sessions performed with AI-assisted developer tools Review how developers interact with coding assistants throughout implementation and debugging Assess agentic and specification-driven development workflows Identify ineffective prompting, unnecessary iteration, or poor use of available development context Evaluate whether AI-generated suggestions are appropriately verified before implementation Development Trace Evaluation Review multi-step coding trajectories rather than isolated code snippets Assess the sequence of investigation, implementation, testing, and refinement Determine whether development decisions follow a coherent and effective workflow Identify points where a stronger engineering approach should have been taken Evaluate both final outcomes and the process used to reach them Technical Reasoning & Best Practices Assess engineering decisions against established software development practices Evaluate architecture, implementation strategy, testing, and debugging choices Review whether assumptions are appropriately validated during development Identify unnecessary complexity or technically weak approaches Apply professional judgement to ambiguous or imperfect coding scenarios Rubric-Based Evaluation Assess development traces against structured project criteria Provide clear written explanations supporting evaluation decisions Identify specific evidence within the development session for each judgement Apply scoring and review standards consistently across assignments Distinguish correct but unconventional approaches from genuinely flawed implementations Developer Tools & Engineering Workflows Work with development sessions involving tools such as Cursor, GitHub Copilot, Claude Code , or comparable AI-assisted coding environments Evaluate workflows involving repositories, specifications, code changes, debugging, and testing Assess how developers use tooling to investigate and modify existing systems Review interactions between automated assistance and human engineering judgement Contribute practical insight into effective developer-tool workflows Ideal Profile 3+ years of professional software development experience Strong background in backend or full-stack software engineering Hands-on experience with AI-assisted coding tools such as Cursor, GitHub Copilot, Claude Code, or similar platforms Experience with agentic or specification-driven development workflows Strong code-reading and debugging skills Ability to evaluate multi-step software development trajectories for correctness and best practice Strong written communication and ability to provide precise technical feedback Experience with Kiro or Amazon CodeCatalyst is preferred Previous experience evaluating or grading AI-generated code is advantageous Contributions to developer tooling are advantageous Engagement Details Part-time independent contractor engagement Fully remote within the United States Flexible scheduling based on project requirements Compensation: $60–$80/hour Work focuses on software development trace evaluation, code review, debugging, AI-assisted development workflows, and technical quality assessment Projects may be extended, shortened, or concluded based on project needs and performance Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party H1-B and STEM OPT support is unavailable for this engagement About the Platform This opportunity is available through 24-MAG LLC. 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