PitchMeAI
Quik Hire Staffing

Frontend Developer (Remote)

Quik Hire Staffing · United States

  • Hybrid
  • Part-time
  • $80,000 / year
  • United States
Tailored resumekeyword-matched to this role.
Hiring managerwe find who's hiring.
Intro emaildrafted to reach them directly.

Job highlights

  • Evaluate autonomous AI agents across multiple LLMs.
  • Shape agentic AI systems with human feedback.
  • Train Large Language Models for workflows.
  • Assess and provide feedback on software architecture.
  • Flexible task assignments with weekly payments.

About the role

Frontend Developer (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

  • AI Agent Evaluation
  • LLM Training
  • Backend Engineering
  • Software Architecture
  • Python
  • JavaScript
  • SQL Databases
  • System Integration
  • Technical Feedback
  • Troubleshooting

Skills & topics

  • Frontend Developer
  • AI Agent Evaluation
  • LLM Training
  • Backend Engineering
  • Software Architecture
  • Python
  • JavaScript
  • SQL Databases
  • System Integration
  • Remote Work

How to get hired

  • Tailor your resume: Highlight backend engineering, AI automation, and complex systems integration experience. Quantify achievements in production software development.
  • Craft a strong application: Emphasize your proficiency in at least two major programming languages and SQL database experience. Showcase experience with live environments and multi-turn interactions.
  • Ace the onboarding assessment: Prepare to demonstrate your technical skills through practical assessments. Review concepts related to AI agents and software architecture.
  • Prepare for technical questions: Be ready to discuss your experience debugging agent traces, stress-testing systems, and assessing software architecture.

Technical preparation

Review autonomous AI agent principles.,Practice debugging software traces.,Familiarize with LLM architecture.,Strengthen Python/JavaScript and SQL skills.

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 handle edge cases in testing?

Frequently asked questions

What kind of AI agents will I be evaluating as a Frontend Developer at Quik Hire Staffing?
As a Frontend Developer at Quik Hire Staffing, you will be evaluating autonomous AI agents across multiple Large Language Models (LLMs). These agents will span domains such as health, education, and daily life, focusing on complex, multi-step architectural workflows.
What programming languages are required for the Frontend Developer role at Quik Hire Staffing?
For the Frontend Developer position at Quik Hire Staffing, you need a strong command of at least two major programming languages. Examples include Python, JavaScript, Go, or Java. Experience with SQL databases is also essential.
How does compensation work for the Frontend Developer role at Quik Hire Staffing?
Compensation for the Frontend Developer role at Quik Hire Staffing is hourly, ranging from USD $30 to $50, based on your experience and the complexity of the tasks. Payments are issued weekly through platforms like PayPal or AirTM.
What is the work arrangement for the Frontend Developer position at Quik Hire Staffing?
The Frontend Developer position at Quik Hire Staffing is a fully remote role, allowing you to work from anywhere within the United States, Canada, United Kingdom, or Australia.
What kind of experience is needed to be successful as a Frontend Developer at Quik Hire Staffing?
To be successful as a Frontend Developer at Quik Hire Staffing, you should have experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation is crucial, along with practical experience in live, non-mocked environments.