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
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Manage corporate T&E card program including card issuance, activation/deactivation, limit management, and reconciliation with Concur. Provide cardholder support, enforce policy compliance, monitor aging reports, coordinate with payments, produce usage and delinquency reports, assist audits, and drive process improvements and automation.
Top Skills:
ConcurExcelSAP
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead development and execution of global medical content for oncology, including manuscripts, congress materials, slide decks, multimedia, and plain-language summaries. Ensure accuracy, data quality, compliance, and timely delivery while collaborating cross-functionally, supporting training, adopting new content technologies (including generative AI), and tracking project progress under team guidance.
Top Skills:
Generative AiExcelMicrosoft PowerpointMicrosoft Word
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Operate and monitor mechanical and HVAC systems (chillers, compressed air, chilled/heating water, cleanroom HVAC). Perform rounds, alarm response, preventative maintenance, troubleshooting using P&ID/one-line diagrams, follow LOTO and NFPA 70E, and maintain maintenance records.
Top Skills:
Alarm MonitoringChilled Water SystemsChiller PlantCleanroom HvacCompressed Air SystemsHvacLotoNfpa 70EOne-Line DiagramsP&Id DrawingsProcess ExhaustSystem Troubleshooting
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
