Machine Learning Ops Engineer (AI Trainer)

TL;DR

Machine Learning Ops Engineer (AI Trainer): Reviewing and refining AI-generated outputs related to MLOps, deployment pipelines, and monitoring with an accent on technical accuracy and operational reliability. Focus on drafting realistic MLOps scenarios and identifying gaps in AI-generated content based on professional experience.

Location: Remote (Must have significant professional experience within the EU or UK)

Company

hirify.global is an organization focused on building advanced AI-powered infrastructure and operational systems.

What you will do

• Review and refine AI-generated outputs related to MLOps, deployment pipelines, and monitoring.
• Evaluate AI responses for technical accuracy, operational reliability, and compliance with real-world requirements.
• Draft realistic MLOps scenarios based on direct professional experience.
• Create scenario variations from different perspectives, such as MLOps engineer, data scientist, developer, or product owner.
• Identify gaps, oversights, or weak reasoning in AI-generated MLOps content.

Requirements

• Senior-level MLOps engineer with significant professional experience.
• Experience within the EU or UK is required.
• Proven experience in designing, building, and operating machine learning pipelines and infrastructure.
• Ability to evaluate deployment strategies, automation, and operational standards.
• Capable of working independently and providing structured, critical feedback.
• Availability for 8–20 hours per week.

Culture & Benefits

• Flexible, fully remote freelance arrangement that fits current commitments.
• Direct contribution to the development of advanced AI-powered infrastructure.
• Free access to an in-house AI Academy to further develop AI skillsets.
• Structured onboarding and ongoing collaboration opportunities.

Hiring process

• Short written evaluation.
• Brief AI-powered interview.
• Compliance check for credentials and identity.