Remote | Software Engineer — $30–$100/hour

We are sharing a specialised consulting opportunity for experienced Software Engineers with strong backend expertise, scalable service development, debugging, automated testing, feature implementation, and codebase optimisation to contribute to advanced AI training and software-engineering evaluation projects.

Selected professionals will create realistic and technically challenging coding tasks, develop reference implementations and deterministic verifiers, and apply practical software-engineering judgement to feature development, bug fixing, refactoring, performance optimisation, and testing. No prior AI experience is required.

Key Responsibilities

Coding Task Development

• Create realistic software-engineering tasks involving feature implementation and bug fixes
• Design challenges that reflect professional backend-development scenarios
• Define clear technical requirements, constraints, and expected behaviour
• Ensure tasks are sufficiently complex to evaluate engineering reasoning
• Apply practical software-development experience throughout task creation

Backend Engineering & Feature Implementation

• Work across Java, Node.js, Go, Rust, TypeScript, Python, C++, or comparable technologies
• Develop and evaluate scalable backend services and APIs
• Implement complex features within established codebases
• Apply sound algorithms, data structures, and computer-science fundamentals
• Maintain strong standards for correctness, maintainability, and performance

Debugging, Refactoring & Performance

• Identify and resolve software defects and system bottlenecks
• Diagnose unexpected behaviour across complex applications
• Refactor existing code to improve structure and maintainability
• Optimise implementation performance where required
• Evaluate trade-offs between reliability, complexity, scalability, and efficiency

Deterministic Verification & Testing

• Develop deterministic verifiers for coding tasks
• Ensure verifiers accept reasonable valid solutions and reject incorrect implementations
• Design automated tests covering expected behaviour and edge cases
• Diagnose flaky or unreliable test behaviour
• Apply strong testing strategy and code-review judgement across assignments

Technical Evaluation & Quality Review

• Review software-engineering outputs for technical accuracy and completeness
• Assess implementation quality against task specifications
• Identify weak reasoning, incomplete fixes, or inappropriate engineering approaches
• Provide precise technical feedback on submitted solutions
• Maintain consistent quality standards across repeated evaluation workflows

Ideal Profile

• Strong professional backend software-engineering experience
• Expertise in one or more of Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar languages
• Track record of building scalable services and APIs
• Strong debugging and software-troubleshooting capabilities
• Experience identifying and resolving performance bottlenecks
• Proven ability to implement complex features in established applications
• Experience refactoring large or evolving codebases
• Strong understanding of algorithms and data structures
• Solid automated-testing and code-review instincts
• Experience designing test strategies or maintaining large test suites is particularly valuable
• Ability to diagnose flaky tests and improve testing standards
• Strong analytical and problem-solving skills
• Clear technical written communication
• Ability to work independently in a flexible remote environment
• No prior AI-training or model-evaluation experience is required

Engagement Details

• Independent contractor engagement
• Fully remote
• Expected commitment: approximately 15 hours per week
• Flexible schedule across weekdays or weekends
• Displayed compensation range: $30–$100/hour
• Actual compensation structure is output-based, with payment made per task that meets project specifications
• Time required per task may vary depending on experience and workflow
• Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
• Selection may include an approximately 30-minute AI interview, a tentative technical assessment, and hiring-manager review
• Interview, assessment, and project work must be completed without outside assistance
• Roles are typically filled within approximately 48 hours
• Selected contributors should be prepared to begin initial tasks within approximately 24–48 hours after onboarding
• Work will involve coding-task development, feature implementation, debugging, refactoring, deterministic verification, and technical evaluation
• Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, 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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