QA Software Test Engineer -Code Review - Remote
YO HR Consultancy
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About the role
Role Overview
Support high-impact research collaborations with leading AI labs by contributing to building evaluation datasets that assess AI reasoning, explanation quality, and technical judgment in coding-related interactions. This freelance opportunity allows you to apply your engineering expertise toward shaping next-generation intelligent systems.
Project Details
The evaluation dataset focuses on code question-and-answer data designed to assess natural-language reasoning, explanation quality, and technical judgment in coding interactions—rather than executable correctness. Tasks are structured as chat-pasteable prompts reflecting realistic developer questions with all necessary context inline (code snippets, error messages, logs, requirements).
Key Responsibilities
- Craft realistic developer prompts across multiple categories (code review, debugging, error diagnosis, configuration, and more)
- Source and adapt content from real PRs to create authentic scenarios
- Write clear, technically accurate model responses that demonstrate strong reasoning and explanation quality
Ideal Qualifications
- 2+ years of experience in software engineering, technical research, or educational content development
- Degree in Software Engineering, Computer Science, or related field (Bachelor's minimum; advanced degree preferred)
- Strong proficiency in languages like Python, JavaScript, Java, or C++
- Experience with debugging, testing, and validating code
- Comfortable with technical writing and attention to detail
Project Timeline
- Start Date: Immediate
- Duration: 1–2 months
- Commitment: Part-time (15–25 hours/week, with flexibility up to 40 hours/week)
Application Process
- Upload your resume
- Participate in a short 15-minute conversational AI interview
- Receive follow-up communication within a few days with onboarding details
About YO HR Consultancy
YO HR Consultancy is a staffing and recruitment firm that connects experienced professionals with high-impact projects. They specialize in facilitating collaborations between software engineers and leading AI labs to develop evaluation datasets for AI systems.
Scraped 4/1/2026