QA Software Test Engineer Code Review - Remote
YO IT Consulting
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About the role
Role Overview
QA Software Test Engineer (Code Review) – Remote You will support high-impact research collaborations with leading AI labs by building and evaluating code question-and-answer datasets. The dataset assesses natural-language reasoning, explanation quality, and technical judgment in coding-related interactions (not executable correctness).
Responsibilities
- Craft realistic developer prompts across multiple categories, including:
- Code review
- Debugging
- Error diagnosis
- Configuration and related scenarios
- Source and adapt content from real PRs to create authentic evaluation scenarios.
- Write clear, technically accurate model responses demonstrating strong reasoning and explanation quality.
- Ensure prompts are formatted as chat-pasteable prompts with all necessary context inline (e.g., code snippets, error messages, logs, requirements).
Requirements
- 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 with programming languages such as Python, JavaScript, Java, or C++.
- Experience with debugging, testing, and validating code.
- Comfortable with technical writing and strong attention to detail.
Nice-to-Haves
- Experience creating educational or technical research content.
- Advanced degree in a related field.
Logistics
- Start date: Immediate
- Duration: 1–2 months (may be extended/shortened based on needs)
- Commitment: Part-time 15–25 hours/week, with flexibility up to 40 hours/week
- Work mode: Fully remote, independent contractor
- Interview: 15-minute conversational AI interview, followed by onboarding steps
About YO IT Consulting
YO IT Consulting provides consulting services focused on technology and software engineering support. In this role, the company connects contractors with research collaborations involving leading AI labs to build evaluation datasets for AI reasoning and coding interactions.
Scraped 4/8/2026