Remote | Senior Software Engineer — $50–$100/hour

engineeringjobs.net, Inc.; New York (NY); Remote; USD 69,000 - 138,000; Full time

Job summary

24-MAG LLC is seeking experienced Senior Software Engineers for an AI evaluation project. You will contribute to reinforcement learning environments and feature-rich code across Python3, Java, Rust, Go, C, and TypeScript, focusing on performance and robust design.

This is an independent contractor, fully remote role with an expected commitment of about 15 hours per week. Compensation ranges from $50 to $100 per hour, paid per task that meets project specifications.

Qualifications

• Significant professional software-engineering experience.
• Strong hands-on expertise in at least one of Python3, Java, Rust, Go, C, or TypeScript.
• Deep understanding of algorithms and data structures.
• Strong command of software-engineering fundamentals.
• Proven ability to debug complex systems and resolve difficult defects.

Responsibilities

• Develop reinforcement learning environments for AI evaluation.
• Implement robust features across Python3, Java, Rust, Go, C, or TypeScript.
• Debug complex defects and ensure correctness and reliability.
• Refactor legacy code to improve structure and maintainability.
• Optimize performance and validate optimisations.
• Review peer submissions and provide constructive feedback.
• Document decisions and technical reasoning.

Skills

Python3

Java

Rust

Go

C

TypeScript

Algorithms

Debugging

Feature development

Code refactoring

Performance optimisation

Tools

Git

CI/CD

Job description

We are sharing a specialised consulting opportunity for experienced Senior Software Engineers with strong expertise in Python3, Java, Rust, Go, C , TypeScript, algorithms, debugging, feature development, codebase refactoring, and performance optimisation to contribute to an advanced AI training and software-engineering evaluation project.

Key Responsibilities

Reinforcement Learning Environment Development

• Create realistic software-engineering environments for AI evaluation
• Design tasks involving debugging, feature development, refactoring, and optimisation
• Build reproducible environments that allow technical solutions to be evaluated consistently
• Define clear problem statements, constraints, and expected outcomes
• Develop golden reference solutions demonstrating correct engineering approaches

Software Development & Feature Implementation

• Contribute expert-level code across Python3, Java, Rust, Go, C , or TypeScript
• Implement robust new functionality within existing codebases
• Apply sound software-engineering principles to real-world development scenarios
• Ensure new features are maintainable, scalable, and appropriately tested
• Evaluate trade-offs across different implementation approaches

Debugging & Defect Resolution

• Analyse complex software defects across varied codebases
• Identify root causes rather than applying superficial fixes
• Develop effective debugging strategies for difficult technical problems
• Resolve correctness, reliability, and integration issues
• Document reasoning behind technical diagnoses and fixes

Codebase Refactoring & Modernisation

• Refactor legacy or difficult-to-maintain code
• Improve structure, readability, modularity, and long-term maintainability
• Preserve required behaviour while improving implementation quality
• Identify unnecessary complexity and architectural weaknesses
• Apply modern software-engineering practices to existing systems

Performance Optimisation

• Identify performance bottlenecks across software systems
• Analyse algorithmic and implementation-level inefficiencies
• Improve runtime performance and resource usage where appropriate
• Validate that optimisations preserve correctness
• Explain technical trade-offs and performance impact clearly

Code Review & Technical Validation

• Review peer-contributed code and technical submissions
• Evaluate solutions for correctness, clarity, efficiency, and maintainability
• Identify hidden defects, unsupported assumptions, or incomplete reasoning
• Provide constructive technical feedback
• Validate that submissions satisfy task and environment requirements

Technical Documentation & Reasoning

• Document implementation decisions and solution approaches clearly
• Explain debugging, refactoring, and optimisation strategies
• Record technical assumptions and relevant trade-offs
• Produce documentation that supports reproducibility and evaluation
• Translate complex engineering reasoning into precise written explanations

Ideal Profile

• Significant professional software-engineering experience
• Strong hands‑on expertise in at least one of Python3, Java, Rust, Go, C , or TypeScript
• Deep understanding of algorithms and data structures
• Strong command of software-engineering fundamentals
• Proven ability to debug complex systems and resolve difficult defects
• Experience implementing substantial product or platform features
• Strong background in codebase refactoring and legacy‑system modernisation
• Experience identifying and resolving performance bottlenecks
• Ability to reason across large and unfamiliar codebases
• Strong technical documentation and communication skills
• Experience taking high‑impact features from concept through delivery is highly valuable
• Comfortable reviewing and validating other engineers' work
• Interest in AI and advanced technical evaluation is beneficial
• No prior AI‑training experience is required

Engagement Details

• Independent contractor engagement
• Fully remote
• Expected commitment: approximately 15 hours per week
• Displayed compensation range: $50--$100/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 reinforcement‑learning environment creation, software development, debugging, feature implementation, refactoring, performance optimisation, and technical validation
• Each task may require a reproducible environment and golden reference solution
• 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, workload, technical domains, and evaluation standards may evolve depending on project requirements
• Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, 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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