Seeking a remote, async-friendly QA Engineer role (manual + automated testing) — flexible hours, results-over-hours culture, steady pace over urgency.
Kevin Chen
@kevinchen11
QA Engineer — manual, exploratory & automated testing (Playwright/Pytest). Own quality end-to-end on live apps. Seeking remote, async-friendly team.
What I'm looking for
I’m a QA Engineer with hands-on experience across manual, exploratory, and automated testing using Playwright and Pytest. I’ve personally owned quality end-to-end on live production apps—an Android app and a full-stack web dictionary—catching regressions and reproducing defects before anything shipped.
I also evaluate 2,000+ AI outputs across xAI, Outlier.ai, and LinkedIn AI, applying structured correctness criteria and strict quality guidelines. I’ve evaluated whether responses are correctly grounded in source documents, achieved a 3.9/5 quality rating, and served as a reviewer auditing peers’ work for accuracy and adherence.
Currently, I’m building a Playwright/Pytest automation suite with a Page Object Model architecture, publicly on GitHub, while independently diagnosing real automation defects as I go. I care about whether software actually works for real users, not just whether it compiles.
My QA mindset is shaped by hands-on AI evaluation work too: engineering prompts and rubrics, training video understanding by breaking down clips into components, and getting promoted to reviewer across projects. I’m looking for a QA role—ideally remote—where that quality-first mindset is the whole job.
Experience
Work history, roles, and key accomplishments
- Evaluate LLM outputs for whether responses are correctly grounded in source documents — checking factual accuracy, correctness, and failure-mode handling on document-grounded Q&A tasks, achieving 3.9/5 quality rating.
- Serve as a reviewer on the project, auditing peer evaluations for accuracy and adherence to grading and formatting guidelines before final submission.
- Evaluated agentic AI-powe
- Trained a flagship LLM-based CLI through prompt engineering, comparative model evaluation, and model ranking — assessing whether AI-generated code met production-readiness and correctness standards before acceptance.
- Engineered prompts and rubrics to evaluate, rate, and compare multimodal AI responses across text, image, and video tasks.
- Trained Grok's video understanding capabilities by breaking down video clips into cinematic components.
- Promoted to reviewer across 3 projects — reviewing peers' work, providing detailed feedback, and correcting errors against project guidelines.
- Achieved a 6.6/7 overa
- Debugged AI-generated code and evaluated, analyzed, and compared AI model responses across multiple programming languages.
- Trained AI SWE agents to extract requirements and analyze GitHub pull requests for quality evaluation.
- Promoted to reviewer across multiple projects — evaluating tasks and giving detailed feedback to peers.
- Engineered prompts in Simplified Chinese, ensuring proper loca
- Led end-to-end Android development as sole developer on an AI chat application, independently owning UI, and feature implementation.
- Collaborated with cofounders to identify and develop features.
Career transition
Career Break
Nov 2022 - Jun 2024 (1 year 7 months)
- Transitioned from customer service to Programming.
- Self-taught Android and web, and built apps.
- Also enrolled in full-stack web coding bootcamp,
- Took customer orders, packaged food and beverage, and maintained sanitary conditions of establishment.
Education
Degrees, certifications, and relevant coursework
Altcademy
Full Stack Web
2024 - 2024
Queens College
Bachelor of Arts, General Linguistics
2015 - 2020
Completed a Bachelor of Arts in General Linguistics at Queens College.
Availability
Location
Authorized to work in
Salary expectations
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