ML Ops Engineer (AI Trainer)

TL;DR

ML Ops Engineer (AI Trainer): Reviewing and refining AI-generated outputs related to machine learning operations and deployment pipelines with an accent on technical accuracy and operational reliability. Focus on identifying gaps in AI reasoning and drafting realistic MLOps scenarios based on professional experience.

Location: Remote (EU/UK)

Salary: €102 – €160 per hour

Company

hirify.global connects expert freelancers with leading AI labs building next-generation models.

What you will do

• Review and refine AI-generated outputs regarding MLOps, deployment pipelines, and monitoring.
• Evaluate AI responses for technical accuracy, operational reliability, and real-world compliance.
• Draft realistic MLOps scenarios and variations from multiple professional perspectives (e.g., data scientist, developer).
• Identify gaps, oversights, or weak reasoning in AI-generated MLOps content.
• Assess and improve content to ensure it reflects authentic documentation and practical deployment procedures.

Requirements

• Senior-level MLOps engineer with significant professional experience.
• Must be based in the EU or UK.
• Experience in designing, building, and operating machine learning pipelines and infrastructure.
• Ability to provide structured, critical feedback independently.
• Availability for 8–20 hours per week.

Culture & Benefits

• Flexible, fully remote freelance arrangement.
• Direct contribution to building advanced AI-powered infrastructure.
• Free access to the in-house AI Academy for skill development.
• Clear onboarding and structured tasks.

Hiring process

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