Software Engineering Expert (AI Training)
- Experience
- Senior
- Employment
- Part-time15h/week
Open to IN, US only. Set where you work from to check your eligibility.
No BS summary
Seeking experienced Software Engineering Experts to train AI systems by creating coding environments, developing reference solutions, and evaluating complex engineering tasks. Must have strong hands-on experience with Python, Java, Rust, Go, C++, or TypeScript, and a deep understanding of algorithms, data structures, and OOP. Comfortable working independently in a remote environment.
Core skills
Required skills
Optional skills
This role is for one of our clients $100 - $230/hourpay Role Title: Senior Software Engineer Role Type : Contractor (~15 hrs a week) Location: Remote We are seeking experienced Software Engineering Experts to help train next-generation AI systems through high-quality technical contributions. Your software engineering expertise will be used to create realistic coding environments, develop reference solutions, and evaluate complex engineering tasks that improve AI reasoning and problem-solving capabilities. In this role, you will design reproducible software engineering challenges covering bug fixing, feature development, code refactoring, and performance optimization. No prior AI experience is required—your expertise in software development is what matters. Requirements Key Responsibilities Design reproducible software engineering environments for evaluating AI model performance. Develop high-quality reference ("golden") solutions for complex programming challenges. Contribute expert-level code samples in one or more of the following languages: Python Java Rust Go C++ TypeScript Analyze, debug, and resolve complex software defects across diverse codebases. Design, implement, and validate scalable software features following industry best practices. Refactor legacy applications to improve maintainability, readability, and performance. Optimize software systems by identifying bottlenecks and improving efficiency. Document technical reasoning, implementation decisions, and solution methodologies to improve AI training quality. Review and validate technical submissions, ensuring correctness, clarity, and engineering excellence. Collaborate remotely with cross-functional teams to continuously improve project quality and deliverables. Required Qualifications Strong hands-on experience with at least one of the following programming languages: Python Java Rust Go C++ TypeScript Deep understanding of algorithms, data structures, object-oriented programming, and software engineering principles. Proven experience debugging complex software systems and resolving production issues. Experience implementing scalable software features throughout the software development lifecycle. Strong background in refactoring and modernizing existing codebases. Excellent analytical, problem-solving, and debugging skills. Ability to communicate technical concepts clearly through written documentation. Comfortable working independently in a fully remote environment. Preferred Qualifications Experience working with large-scale or distributed software systems. Background in software architecture, performance optimization, or system design. Experience contributing to open-source projects or maintaining production-grade applications. Familiarity with code reviews, engineering best practices, and collaborative software development workflows. Interest in artificial intelligence, machine learning, or AI-assisted software development (prior AI experience is not required). Compensation Performance-based compensation paid per successfully completed task. Earnings are based on completed work that meets project quality requirements. Minimum weekly task submission requirements apply. Start Timeline Fast onboarding process with opportunities to begin contributing within 24–48 hours after successful onboarding. Immediate availability is preferred. Must-Have Skills Software Engineering Python / Java / Rust / Go / C++ / TypeScript Algorithms Data Structures Debugging Code Refactoring Performance Optimization Good-to-Have Skills Distributed Systems System Design Software Architecture Open Source Contributions AI/ML Interest Technical Documentation
What you'll do
- Design reproducible software engineering environments for evaluating AI model performance.
- Develop high-quality reference ("golden") solutions for complex programming challenges.
- Contribute expert-level code samples in one or more of the following languages: Python Java Rust Go C++ TypeScript
- Analyze, debug, and resolve complex software defects across diverse codebases.
- Design, implement, and validate scalable software features following industry best practices.
- Refactor legacy applications to improve maintainability, readability, and performance.
- Optimize software systems by identifying bottlenecks and improving efficiency.
- Document technical reasoning, implementation decisions, and solution methodologies to improve AI training quality.
- Review and validate technical submissions, ensuring correctness, clarity, and engineering excellence.
- Collaborate remotely with cross-functional teams to continuously improve project quality and deliverables.
What they require
- Strong hands-on experience with at least one of the following programming languages: Python Java Rust Go C++ TypeScript
- Deep understanding of algorithms, data structures, object-oriented programming, and software engineering principles.
- Proven experience debugging complex software systems and resolving production issues.
- Experience implementing scalable software features throughout the software development lifecycle.
- Strong background in refactoring and modernizing existing codebases.
- Excellent analytical, problem-solving, and debugging skills.
- Ability to communicate technical concepts clearly through written documentation.
- Comfortable working independently in a fully remote environment.
- Preferred Qualifications Experience working with large-scale or distributed software systems.
- Background in software architecture, performance optimization, or system design.
- Experience contributing to open-source projects or maintaining production-grade applications.
- Familiarity with code reviews, engineering best practices, and collaborative software development workflows.
- Interest in artificial intelligence, machine learning, or AI-assisted software development (prior AI experience is not required).
Benefits
- Performance-based compensation paid per successfully completed task.
- Earnings are based on completed work that meets project quality requirements.
- Minimum weekly task submission requirements apply.
- Fast onboarding process with opportunities to begin contributing within 24–48 hours after successful onboarding.
- Immediate availability is preferred.
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