QA Engineer (AI Applications) (Remote)
Quik Hire Staffing · United States
- Hybrid
- Part-time
- $62,400 / year
- United States
Job highlights
- Evaluate autonomous AI agents across multiple LLMs.
- Design and implement AI agent evaluation rubrics.
- Debug AI agent traces and identify failure patterns.
- Assess production-grade modular software architecture.
- Provide technical feedback for LLM training.
About the role
QA Engineer AI Applications (Remote)
Role Overview
Help design and evaluate autonomous AI agents across multiple LLMs, spanning health, education, daily life, and other real-world domains (all coding work). Shape the future of agentic AI systems by providing expert human feedback to leading AI organisations. Help train Large Language Models (LLMs) for complex, multi-step architectural workflows.
Key Responsibilities
AI Agent Evaluation
- Write evaluation rubrics with objective pass/fail criteria
- Debug agent traces to identify failure patterns
- Stress test agents against edge cases, prompt injection, and tool misuse
Technical Assessment
- Assess production-grade modular software architecture
- Analyse multi-turn system interactions and behaviours
- Provide high-density technical feedback for LLM training
Project Workflow
- Create an account and upload a resume/ID
- Complete the onboarding assessment
- Start earning through flexible task assignments
Qualifications
- Experience in backend engineering, AI automation, or complex systems integration
- Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)
- Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases
- Practical experience building for live, non-mocked environments and handling multi-turn system interactions
Preferred (Nice to Have)
- Experience integrating agents with live tools such as Supabase, Gmail, and other APIs
- Familiarity with persistent state and session-tracking patterns
- Experience identifying privacy leaks, authority escalation, or indirect prompt injection vulnerabilities
Compensation
Hourly compensation ranges from USD $30–$50, depending on experience and task complexity. Payments are issued weekly via supported payout platforms (e.g., PayPal or AirTM). Full compensation details are provided prior to task acceptance.
Equal Opportunity Statement
Selection decisions are based solely on skills, qualifications, and project requirements. We are committed to inclusive and fair engagement practices and consider all qualified applicants without regard to legally protected characteristics.
Key skills/competency
- QA Engineer
- AI Applications
- AI Agent Evaluation
- LLM Training
- Backend Engineering
- Software Architecture
- Python
- JavaScript
- SQL Databases
- System Integration
Skills & topics
- QA Engineer
- AI Applications
- Remote
- AI Agent Evaluation
- LLM Training
- Backend Engineering
- Software Architecture
- Python
- JavaScript
- SQL Databases
- System Integration
- AI Automation
How to get hired
- Tailor your resume: Highlight backend engineering, AI automation, and complex systems integration experience.
- Showcase technical skills: Emphasize proficiency in Python, JavaScript, or Java, and SQL database experience.
- Demonstrate practical experience: Detail your work with live, non-mocked environments and multi-turn system interactions.
- Prepare for assessment: Be ready to demonstrate your ability to build and maintain production-grade software.
Technical preparation
Master Python, JavaScript, or Go for backend tasks.,Practice SQL for database interaction and querying.,Build modular software with distinct services.,Simulate live environments and multi-turn interactions.
Behavioral questions
Describe a complex system you integrated.,How do you identify software failure patterns?,How do you provide constructive technical feedback?,How do you stress test against edge cases?
Frequently asked questions
- What is the hourly compensation for a QA Engineer AI Applications at Quik Hire Staffing?
- The hourly compensation for a QA Engineer AI Applications at Quik Hire Staffing ranges from USD $30 to $50, depending on your experience and the complexity of the tasks.
- What are the primary responsibilities of a QA Engineer AI Applications?
- As a QA Engineer AI Applications, you will design and evaluate autonomous AI agents, write evaluation rubrics, debug agent traces, stress test agents, assess software architecture, analyze system interactions, and provide technical feedback for LLM training.
- What programming languages are required for the QA Engineer AI Applications role?
- You need a strong command of at least two major programming languages such as Python, JavaScript, Go, or Java, along with experience working with SQL databases.
- Is the QA Engineer AI Applications position remote?
- Yes, this QA Engineer AI Applications position is fully remote and open to candidates located in the United States, Canada, United Kingdom, and Australia.
- What qualifications are essential for the QA Engineer AI Applications role?
- Essential qualifications include experience in backend engineering, AI automation, or complex systems integration, and the ability to build and maintain production-grade software with modular separation.
- How are payments issued for the QA Engineer AI Applications role?
- Payments for the QA Engineer AI Applications role are issued weekly via supported payout platforms like PayPal or AirTM.
- What are some preferred qualifications for the QA Engineer AI Applications position?
- Preferred qualifications include experience integrating agents with live tools (e.g., Supabase, Gmail), familiarity with persistent state and session-tracking patterns, and experience identifying security vulnerabilities like prompt injection.