Software Engineer Code QA
Taskify AI
Job Overview
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Job Description
Software Engineer Code QA - Remote
One of our clients is hiring experienced Software Engineers to support high-impact research collaborations with leading AI labs. In this role, 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
Key skills/competency
- Software Engineering
- Code Quality Assurance
- AI Evaluation
- Technical Writing
- Debugging
- Code Review
- Python
- JavaScript
- Java
- C++
How to Get Hired at Taskify AI
- Research Taskify AI's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align with their innovative spirit.
- Tailor your resume for AI evaluation: Customize your resume to highlight experience in code QA, AI interaction, technical writing, and proficiency in Python, JavaScript, Java, or C++, optimizing for keywords Taskify AI might use.
- Ace the AI-led interview: Prepare for the 15-minute AI-led interview by practicing articulating technical reasoning clearly and concisely, focusing on problem-solving and code evaluation scenarios.
- Showcase technical writing skills: During your application for Taskify AI, emphasize your ability to craft clear, technically accurate explanations, critical for this Software Engineer Code QA role.
- Demonstrate critical thinking: Highlight experiences where you've thought critically about code, debugging, and design trade-offs, as these are core to Taskify AI's project focus.
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