Senior Software Engineer
YO AI LabsAbout the role
Senior Software Engineer
Job Type: Contractor (:15 hours/week)
Location: Remote
Job Summary
We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.
You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.
Key Responsibilities
Create reinforcement learning environments for software engineering tasks.
Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
Build deterministic verification systems and golden reference solutions.
Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
Develop realistic, reproducible software engineering scenarios.
Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
Document solutions and provide clear technical feedback.
Required Skills
Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
Strong understanding of algorithms and data structures.
Experience with bug fixing and debugging complex software issues.
Proven experience in feature implementation and codebase refactoring.
Strong knowledge of performance optimization and tuning.
Excellent written and verbal communication.
Strong attention to detail.
Preferred Qualifications
Experience working with large-scale or distributed codebases.
Familiarity with AI/ML systems is a plus but not required.
Experience with rigorous code reviews and software engineering best practices.
Experience working effectively in remote or cross-functional teams.
Hiring Process
Submit an application and screening questions.
Complete an AI interview (:30 minutes).
Complete a technical assessment, if required.
Hiring Manager review.
Compensation
Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.
Availability
Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.
Responsibilities
- Create reinforcement learning environments for software engineering tasks.
- Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
- Build deterministic verification systems and golden reference solutions.
- Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
- Develop realistic, reproducible software engineering scenarios.
- Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
- Document solutions and provide clear technical feedback.
Qualifications
- Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
- Strong understanding of algorithms and data structures.
- Experience with bug fixing and debugging complex software issues.
- Proven experience in feature implementation and codebase refactoring.
- Strong knowledge of performance optimization and tuning.
- Excellent written and verbal communication.
- Strong attention to detail.
Skills mentioned
About YO AI Labs
YO AI Labs is an AI data solutions company specializing in high-quality data annotation, data labeling, AI training, and human-in-the-loop services that power the next generation of artificial intelligence. We partner with AI companies, enterprises, and research organizations to build reliable datasets for Large Language Models (LLMs), Generative AI, Computer Vision, Natural Language Processing (NLP), Speech AI, and Reinforcement Learning from Human Feedback (RLHF). Our global network of skilled domain experts, linguists, engineers, and data specialists delivers accurate, scalable, and secure AI training data across multiple industries and languages. Our services include: • AI Data Annotation & Labeling • LLM Training & Evaluation • RLHF & Human Feedback • Prompt Engineering & Response Evaluation • Image, Video & Audio Annotation • NLP & Text Classification • Data Collection & Data Curation • AI Safety & Trust Evaluation • Multilingual AI Data Services • Domain Expert Review for Specialized AI Models At YO AI Labs, we are committed to helping organizations accelerate AI innovation by delivering high-quality datasets, expert human intelligence, and scalable AI operations. Our mission is to bridge the gap between human expertise and artificial intelligence, enabling businesses to build smarter, safer, and more accurate AI systems. **Building Better AI Through Better Data.**