Design reproducible coding environments and high-quality reference solutions to train AI. Create and validate complex programming challenges, debug and optimize codebases, refactor legacy systems, document technical decisions, and review technical submissions while collaborating remotely.
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.
RequirementsKey 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.
- 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.
- 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).
- 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.
- Software Engineering
- Python / Java / Rust / Go / C++ / TypeScript
- Algorithms
- Data Structures
- Debugging
- Code Refactoring
- Performance Optimization
- Distributed Systems
- System Design
- Software Architecture
- Open Source Contributions
- AI/ML Interest
- Technical Documentation
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead equipment engineering for assembly manufacturing to improve safety, quality, reliability, productivity and cost. Drive equipment strategy, lifecycle management, automation, Lean/Six Sigma improvements, and AI-enabled predictive maintenance and analytics. Build team capability, deploy Industry 4.0 solutions, and partner across functions to meet OEE, downtime, and productivity targets.
Top Skills:
AIApcCopilot TechnologiesData AnalyticsDigital TwinFdcGenerative AiIndustry 4.0Intelligent AutomationIotMachine LearningManufacturing IntelligenceMesPredictive MaintenanceSpcStatistical Process Control
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Leads end-to-end QA and testing for global o9 EOP and enterprise transformation programs. Owns test strategy, governance, SIT, UAT, regression, performance testing, automation, defect management, reporting, UAT sign-offs, and go-live readiness. Uses Selenium and TOSCA to build reusable automated testing assets, coordinates distributed stakeholders and vendors, manages risk-based coverage, and mentors testing teams across regional deployments.
Top Skills:
Azure DevopsCi/CdDevsecopsHp AlmJIRAO9 Enterprise Operations PlanningSAPSap IbpSap S/4HanaSeleniumTricentis ToscaZephyr
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Own the technical evolution and architecture of Jira Data Management, leading enterprise-scale data movement, governance, resilience, and data health initiatives. Define long-term platform roadmaps, lead major architectural programs, and improve reliability, performance, observability, security, and operational excellence. Provide hands-on technical leadership through design reviews, investigations, incident reviews, and complex problem solving while mentoring senior and principal engineers.
Top Skills:
AWSGCPGoJavaJavaScriptJIRAPython
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
