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Quik Hire Staffing

AI Automation Engineer (Remote)

Quik Hire Staffing · France

  • Hybrid
  • Part-time
  • $75,000 / year
  • France

Job highlights

  • Design and evaluate AI agents across multiple LLMs.
  • Provide expert human feedback to leading AI organizations.
  • Train Large Language Models for complex workflows.
  • Assess production-grade software architecture and interactions.
  • Utilize backend engineering and AI automation skills.

About the role

AI Automation Engineer (Remote)

Quik Hire Staffing is seeking a talented AI Automation Engineer to join our remote team. This role is perfect for individuals looking to shape the future of AI and work with leading AI organizations.

Role Overview

Help design and evaluate autonomous AI agents across multiple LLMs, spanning health, education, daily life, and other real-world domains. Shape the future of agentic AI systems by providing expert human feedback to leading AI organizations. Help train Large Language Models (LLMs) for complex, multi-step architectural workflows. All coding work is involved in this role.

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.
  • Analyze 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 Automation
  • Backend Engineering
  • LLM Training
  • Software Architecture
  • System Integration
  • Python
  • JavaScript
  • SQL
  • Agent Evaluation
  • Technical Feedback

Skills & topics

  • AI Automation Engineer
  • AI
  • Automation
  • LLM
  • Backend Engineering
  • Software Architecture
  • System Integration
  • Python
  • JavaScript
  • SQL
  • Remote
  • Finland
  • France
  • Italy
  • Norway

How to get hired

  • Tailor your resume: Highlight backend engineering, AI automation, and experience with production-grade software.
  • Showcase language proficiency: Emphasize strong command of Python, JavaScript, Go, or Java, and SQL experience.
  • Demonstrate practical application: Provide examples of building for live environments and handling multi-turn interactions.
  • Highlight preferred skills: Mention any experience with API integrations or identifying AI vulnerabilities.
  • Prepare for assessment: Be ready to complete an onboarding assessment to demonstrate your capabilities.

Technical preparation

Practice Python, JavaScript, Go, or Java.,Build projects using SQL databases.,Develop modular software architecture.,Simulate live environments and system interactions.

Behavioral questions

Describe a complex system you integrated.,How do you debug complex software failures?,How do you provide constructive technical feedback?,How do you approach edge cases in testing?

Frequently asked questions

What is the work arrangement for the AI Automation Engineer role at Quik Hire Staffing?
The AI Automation Engineer position at Quik Hire Staffing is fully remote, allowing you to work from Finland, France, Italy, or Norway.
What kind of AI systems will I be working with as an AI Automation Engineer at Quik Hire Staffing?
As an AI Automation Engineer at Quik Hire Staffing, you will be designing and evaluating autonomous AI agents across multiple Large Language Models (LLMs) for various real-world domains.
What programming languages are required for the AI Automation Engineer role?
The AI Automation Engineer role requires a strong command of at least two major languages such as Python, JavaScript, Go, or Java, along with experience in SQL databases.
How is compensation handled for the AI Automation Engineer position?
Compensation for the AI Automation Engineer role is hourly, ranging from USD $30–$50 based on experience and task complexity. Payments are issued weekly via platforms like PayPal or AirTM.
What is the primary focus of the AI Automation Engineer's responsibilities?
The primary focus is on evaluating AI agents, debugging their performance, assessing software architecture, and providing technical feedback for LLM training to improve AI systems.
Does Quik Hire Staffing offer opportunities for career growth in AI automation?
While specific growth paths aren't detailed, working with leading AI organizations and contributing to agentic AI systems provides significant exposure and experience in a rapidly evolving field.
What kind of technical assessment can I expect for the AI Automation Engineer role?
The technical assessment involves evaluating production-grade modular software architecture and analyzing multi-turn system interactions to provide high-density feedback for LLM training.