10xteam - Machine Learning Ops Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote
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Requirements
• A senior-level MLOps engineer with significant professional experience within the EU or UK • Experienced in designing, building, and operating machine learning pipelines and infrastructure • Skilled at evaluating deployment strategies, automation, and compliance with operational standards • Comfortable working independently and providing structured, critical feedback • Available for 8–20 hours per week, with prompt availability
Responsibilities
• Review and refine AI-generated outputs related to machine learning operations, deployment pipelines, monitoring, and practical aspects of MLOps • Evaluate AI responses for technical accuracy, operational reliability, and compliance with real-world requirements • Draft realistic MLOps scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. MLOps engineer, data scientist, developer, or product owner) • Identify gaps, oversights, or weak reasoning in AI-generated MLOps content • In simple terms: You will assess and improve AI-generated content, ensuring it reflects true MLOps reasoning, authentic documentation, and practical deployment procedures. Rather than conducting traditional MLOps projects, you’ll apply your expertise to help AI systems understand and reason about MLOps at scale.
Benefits
• Flexible, fully remote freelance work that fits your current commitments • Apply your MLOps expertise in a rapidly evolving, high-impact AI environment • Directly contribute to building advanced AI-powered infrastructure and operational systems • Free access to our in-house AI Academy to further develop your AI skillset • Clear onboarding, structured tasks, and ongoing opportunities for collaboration • To complete your application, you’ll receive an email right after applying with a link to: • A short written evaluation • A brief AI-powered interview • A quick compliance check (credentials & identity) • Important: Your application is only complete once you finish these steps via the link in the email. • After successful onboarding, you’ll be eligible to start on upcoming projects as they become available.
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