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

24-Mag Llc

New York (NY)

Hybrid

USD 83,000 - 138,000

Part time

14 days+

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Benefits offered by this job

Remote work
Flexible schedule
Competitive pay

Job summary

24-MAG LLC invites senior backend engineers to contribute to a high-caliber AI training and software-evaluation project. You will craft realistic coding tasks, implement deterministic verifiers, and assess submissions against robust evaluation criteria.

The role emphasizes production-grade backend systems, scalable APIs, and security-conscious design. You will work as an independent contractor, remotely, with an approximately 15 hours per week commitment and a pay range of $30–$100 per hour,

Qualifications

  • Extensive backend software engineering experience.
  • Strong debugging, automated testing, and performance optimization skills.
  • Proven ability to design realistic coding tasks and evaluation scenarios.

Responsibilities

  • Design and develop realistic backend-engineering tasks.
  • Create challenging production-like scenarios for evaluation.
  • Define clear technical requirements and expected behavior.
  • Ensure tasks support multiple valid approaches and robust verification.
  • Review code for quality, safety, and maintainability.

Skills

Backend engineering
Java
Node.js
Go
Rust
TypeScript
Python
C++
Code review
Testing
Performance
Security

Tools

Git
CI/CD

Job description

We are sharing a specialised consulting opportunity for experienced Senior Software Engineers with strong expertise in backend development, debugging, feature implementation, automated testing, performance optimisation, and scalable systems to contribute to an advanced AI training and software-engineering evaluation project.

Selected professionals will create realistic and technically challenging coding tasks involving feature development and bug fixing, then implement deterministic verifiers that accept valid solutions while rejecting incorrect implementations. The work is particularly suited to backend engineers with strong code-review instincts and experience across complex production systems. No prior experience in AI is required.

Key Responsibilities
Coding Task Development
  • Design realistic software-engineering tasks involving feature implementation and bug fixes
  • Create challenging scenarios representative of production backend development
  • Define clear technical requirements, constraints, and expected behaviour
  • Ensure tasks allow multiple reasonable valid implementation approaches
  • Apply strong engineering judgement when designing evaluation scenarios
Backend Engineering & Feature Implementation
  • Apply expertise across Java, Node.js, Go, Rust, TypeScript, Python, C++, or comparable languages
  • Develop and evaluate scalable backend services and APIs
  • Implement robust features within existing or unfamiliar codebases
  • Apply sound algorithms, data structures, and software-engineering principles
  • Maintain strong standards for performance, reliability, and maintainability
Debugging & Performance Optimisation
  • Analyse complex defects and identify underlying root causes
  • Resolve software bugs across varied systems and codebases
  • Investigate performance bottlenecks and inefficient implementation patterns
  • Refactor existing code to improve clarity, reliability, and efficiency
  • Validate changes through appropriate automated testing and technical review
Deterministic Verification & Code Quality
  • Build deterministic verifiers for coding tasks and submitted solutions
  • Ensure verification accepts reasonable correct approaches while rejecting invalid outputs
  • Develop test cases covering expected behaviour, edge cases, and failure conditions
  • Review code for technical correctness, quality, and maintainability
  • Apply strong code-review instincts across generated and reference solutions
Security & Technical Evaluation
  • Apply secure-coding principles to software-engineering tasks where relevant
  • Evaluate vulnerabilities, unsafe implementation patterns, and security weaknesses
  • Draw on application-security, SecOps, penetration-testing, or vulnerability-assessment experience where applicable
  • Consider OWASP, CWE, and related security concepts during technical review
  • Document technical reasoning and evaluation decisions clearly
Ideal Profile
  • Strong professional experience in backend software engineering
  • Expertise in Java, Node.js, Go, Rust, TypeScript, Python, C++, or a comparable language
  • Proven track record building scalable services and APIs
  • Strong debugging, automated-testing, and performance-optimisation skills
  • Experience implementing complex features in production codebases
  • Strong code-review judgement and attention to software quality
  • Experience refactoring large or mature codebases
  • Solid understanding of algorithms, data structures, and core computer-science concepts
  • Strong analytical and problem-solving ability
  • Excellent technical communication skills
  • Cybersecurity or SecOps experience is highly valuable
  • Experience with secure coding, application security, penetration testing, vulnerability assessment, OWASP, or CWE is advantageous
  • Ability to work independently and apply professional judgement without outside assistance
  • 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; contributors may choose their working hours and days, including weekends
  • Displayed compensation range: $30–$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 coding-task development, feature implementation, bug fixing, deterministic verification, automated testing, code review, and performance optimisation
  • Screening includes an approximately 30-minute AI interview, a tentative technical assessment, and hiring-manager review
  • Roles are typically filled within approximately 48 hours, with initial tasks expected within approximately 24–48 hours after onboarding
  • Interviews, assessments, and project work are expected to be completed without outside assistance
  • Project scope, workload, codebases, languages, 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.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

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