Remote | Senior Software Engineer — $100–$150/hour

24-Mag Llc; Northern, New York (KY, NY); Hybrid; USD 138,000 - 207,000; Part time

Job summary

24-MAG LLC seeks an experienced Senior Software Engineer for a part-time, independent contractor role. Responsibilities include designing reproducible engineering environments and tasks for AI training and reinforcement learning projects, with emphasis on DevOps, CI/CD, debugging, and performance optimization.

The ideal candidate will be proficient in Python, Java, Rust, C++, Go, or TypeScript, and have strong knowledge of algorithms, data structures, and code quality.

Qualifications

• Extensive software engineering experience.
• Proficiency in one or more of Python, Java, Rust, C++, Go, or TypeScript.
• Strong debugging, performance-tuning, and refactoring skills.

Responsibilities

• Design reproducible software-engineering tasks reflecting realistic DevOps/CI/CD workflows.
• Create scenarios for build, test, deployment, automation, debugging, and command-line operations.
• Develop feature-implementation and codebase-refactoring tasks across languages.
• Define objectives, constraints, and acceptance criteria.
• Incorporate tools like Git, Docker, GDB, AddressSanitizer, FFmpeg.

Skills

Python

Java

Rust

C++

Go

TypeScript

Tools

Git

Docker

GDB

AddressSanitizer

FFmpeg

Job description

We are sharing a specialised consulting opportunity for experienced Senior Software Engineers with strong expertise in Python, Java, Rust, C++, Go, TypeScript, algorithms, debugging, codebase development, DevOps, CI/CD, and performance optimisation to contribute to an advanced AI training and reinforcement-learning environment project.

Selected professionals will create reproducible software-engineering environments that test advanced AI systems on realistic debugging, DevOps, CI/CD, command-line, and development workflows. Each environment will require deterministic validation and a golden reference solution. No prior experience in AI is required.

Key Responsibilities

Engineering Environment & Workflow Development

• Design reproducible software-engineering tasks reflecting realistic development, DevOps, and CI/CD workflows
• Create scenarios involving build, test, deployment, automation, debugging, and command-line operations
• Develop feature-implementation and codebase-refactoring tasks across relevant programming languages
• Define clear objectives, constraints, expected behaviour, and acceptance criteria
• Incorporate tools such as Git, Docker, GDB, AddressSanitizer, FFmpeg, and comparable utilities

Debugging, Performance & Software Quality

• Design and solve complex debugging and troubleshooting scenarios
• Identify root causes and develop maintainable technical fixes
• Analyse algorithms, data structures, latency, throughput, scalability, and resource utilisation
• Evaluate architectural and implementation trade-offs
• Ensure performance improvements and refactoring preserve intended behaviour

Validation & Reference Solutions

• Create golden reference solutions for each environment
• Develop deterministic validation methods and objective success criteria
• Ensure evaluators distinguish correct, incomplete, and incorrect solutions reliably
• Maintain reproducibility across repeated executions
• Document technical reasoning, validation logic, and implementation decisions clearly

Ideal Profile

• Strong professional software-engineering experience
• Proficiency in one or more of C++, Python, Java, Go, TypeScript, or Rust
• Deep understanding of algorithms and data structures
• Strong debugging, performance-tuning, feature-development, and refactoring skills
• Experience with DevOps and CI/CD workflows
• Familiarity with Git, Docker, GDB, AddressSanitizer, or comparable command-line tools
• Experience building maintainable and scalable software systems
• Large-scale or distributed-codebase experience is highly valuable
• Strong code-review and software-engineering best-practice knowledge
• Excellent technical communication and attention to detail
• Familiarity with AI or machine-learning systems is advantageous but not required
• No prior AI-training experience is required

Engagement Details

• Part-time independent contractor engagement
• Fully remote and open globally
• Expected commitment: approximately 15 hours per week
• Displayed compensation range: $100–$150/hour
• Actual compensation structure is output-based, with payment made per task that meets project specifications
• Task completion time may vary depending on 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, DevOps and CI/CD workflows, debugging, command-line tools, feature development, refactoring, performance optimisation, deterministic validation, and golden reference solutions
• Screening may include an approximately 30-minute AI interview and technical assessment
• Roles are typically filled within approximately 48 hours, with initial tasks expected within approximately 24–48 hours after onboarding
• Project scope, workload, technical environments, 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.