Quality Assurance Engineer | Remote

CodeGeniusRecruit; United States; On-site; USD 95,000 - 125,000; Full time

Job summary

CodeGeniusRecruit in the United States seeks a test engineer to design test cases, validate edge cases, and support quality assurance across projects, including AI-related workloads. You'll work with Python and Git, debug complex systems, and document findings clearly.

Strong attention to detail and experience in QA or research engineering are essential; AI training or model evaluation experience is a plus.

Qualifications

• MSc or PhD in a STEM field or equivalent practical experience.
• Strong experience in test engineering, quality assurance, or a research/software engineering role.
• Proficiency in designing test cases and quality-review processes, and debugging complex systems.

Responsibilities

• Create test cases that confirm each task works as intended, including edge cases.
• Review tasks and reference solutions to catch ambiguity and gaps early.
• Debug tasks using Python when issues arise.
• Build simple, repeatable quality checklists and provide actionable feedback.
• Monitor AI agent runs to ensure benchmark scores remain trustworthy.

Skills

Test case design

Quality-review processes

Attention to detail

Documentation

Problem solving

Education

MSc or PhD in STEM

Equivalent practical experience

Tools

Python

Git

Debugging tools

Test automation frameworks

Job description

• Create test cases that confirm each task works as intended, including edge cases.
• Review tasks and reference solutions to catch ambiguity and gaps early.
• Debug tasks using Python when issues arise.
• Build simple, repeatable quality checklists and provide actionable feedback.
• Monitor AI agent runs to ensure benchmark scores remain trustworthy.

What We Re Looking For

• MSc or PhD in a STEM field, or equivalent practical experience.
• Strong relevant experience in test engineering, quality assurance, or a research/software engineering role.
• Proficiency in designing test cases and quality-review processes, and debugging complex systems.
• Working proficiency in Python and Git, with comfort navigating unfamiliar codebases.
• Exceptional attention to detail and clear written documentation habits.
• Experience in AI training, model evaluation, or quality review of AI-generated work is preferred.