Software Engineer, Code QA
Keystone Recruitment
Job Overview
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Job Description
Role Overview
Keystone Recruitment is seeking experienced Software Engineers to support high-impact research collaborations with leading AI labs. As a Software Engineer, Code QA, you will contribute to building evaluation datasets designed to assess AI reasoning, explanation quality, and technical judgment in coding-related interactions.
This opportunity is ideal for engineers who enjoy thinking critically about code, articulating technical reasoning clearly, and shaping how AI systems understand software development workflows.
About the Project
The project focuses on code-based question-and-answer datasets that evaluate natural-language reasoning and technical explanation quality — rather than simply executable correctness. Tasks are structured as realistic, chat-style developer prompts that include all relevant context inline, such as:
- Code snippets
- Error messages
- Logs
- Configuration files
- Feature requirements
The goal is to simulate authentic developer interactions and evaluate how well AI systems reason through them.
Key Responsibilities
- Craft realistic developer prompts across categories such as: Code review, Debugging, Error diagnosis, Configuration issues, Refactoring and design trade-offs
- Source and adapt content from real pull requests to create authentic technical scenarios
- Write clear, technically accurate model responses that demonstrate strong reasoning and explanation quality
- Ensure responses reflect sound engineering judgment and best practices
Ideal Qualifications
- 2+ years of experience in software engineering, technical research, or technical education/content development
- Bachelor’s degree in Computer Science, Software Engineering, or related field (advanced degree preferred)
- Strong proficiency in one or more languages such as Python, JavaScript, Java, or C++
- Hands-on experience with debugging, testing, and code validation
- Strong technical writing skills and attention to detail
- Ability to clearly articulate trade-offs, assumptions, and reasoning
Project Details
- Start Date: Immediate
- Duration: 1–2 months
- Commitment: Part-time (15–25 hours per week, with flexibility up to 40 hours per week)
- Fully remote and asynchronous
Application & Onboarding Process
- Submit your resume
- Complete a short AI-led interview (approximately 15 minutes)
- Receive follow-up communication within a few days regarding next steps and onboarding
Compensation & Contract Terms
- $70–$120 per hour, depending on experience and expertise
- Weekly payments via supported payment platforms
- Independent contractor classification
- Project scope may be extended, shortened, or concluded based on performance and business needs
- No access to confidential or proprietary information from any employer, client, or institution
Key skills/competency
- Software Engineering
- Code Quality Assurance
- AI Evaluation
- Technical Writing
- Debugging
- Code Review
- Python
- JavaScript
- Java
- C++
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for code quality: Highlight experience in debugging, code review, and technical writing relevant to AI evaluation.
- Prepare for the AI-led interview: Practice articulating technical reasoning clearly and concisely for an AI assessment.
- Showcase technical communication skills: Emphasize your ability to explain complex coding concepts and trade-offs.
- Demonstrate problem-solving abilities: Prepare examples of critical thinking applied to code-related challenges.
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