Machine Learning Engineer – AI Trainer

🕒 May 28

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10x.Team

11 - 50 employees

Founded 2023

🏪 Marketplace

👥 HR Tech

💰 $1.1M Seed Round - 10x Team on 2024-05

Marketplace • HR Tech

10x. Team is a marketplace platform that connects ambitious companies with senior fractional and freelance executives and specialized professionals. The service offers flexible engagement models (consultation, fixed-scope projects, subscriptions, hourly mission posts) and tools like an AI recruiter to streamline hiring, vet talent, and manage contracting, IP and compliance. It focuses on helping startups, scaleups and corporates access C‑level and operational expertise on demand to accelerate growth and solve complex challenges.

📋 Description

• Review and refine AI-generated outputs related to machine learning, model development, implementation, and practical aspects of engineering work • Evaluate AI responses for technical accuracy, practicality, and compliance with real-world requirements • Draft realistic ML scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. engineer, product manager, client, or stakeholder) • Identify gaps, oversights, or weak reasoning in AI-generated engineering content

🎯 Requirements

• A senior-level machine learning engineer with significant professional experience within the EU or UK • Experienced in advising on, preparing, and executing machine learning projects and model deployments • Skilled at evaluating algorithms, implementation, and compliance with specifications • Comfortable working independently and providing structured, critical feedback • Available for 8–20 hours per week, with prompt availability

🏖️ Benefits

• Flexible, fully remote freelance work that fits your current commitments • Apply your ML engineering expertise in a rapidly evolving, high-impact AI environment • Directly contribute to building advanced AI-powered engineering systems • Free access to our in-house AI Academy to further develop your AI skillset • Clear onboarding, structured tasks, and ongoing opportunities for collaboration

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