ML Engineer - AI Trainer - Freelance - 8-20 hrs/week - Remote at Larch Capital Partners Llc

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

132.0

Posted On

08 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Training, Model Evaluation, Deployment Approaches, Data Pipeline Design, Scaling Challenges, Interpretability, Ethical Considerations, MLOps, AI Governance, Structured Problem Solving, Edge Cases, Theoretical Concepts, Technical Accuracy, Model Development, Tuning

Industry

Description

Freelance | 8–20 hrs/week | Remote (EU/UK) Are you an experienced ML Engineer eager to apply your expertise in a new and impactful way? Do you have 8 to 20 hours per week available to contribute alongside your current projects or employment? We are looking for top-tier machine learning professionals based in the EU or UK to help improve advanced AI systems. What you’ll be doing We are 10x.team, a platform for fractional and freelance professionals. We partner with leading AI labs to enhance large AI systems. Your role is hands-on and high impact. You will: Review and refine AI generated outputs on a variety of machine learning and AI topics Evaluate responses for technical accuracy, ML best practices, and compliance with industry standards Draft realistic ML engineering scenarios, including model evaluation, deployment approaches, data pipeline design, scaling challenges, interpretability, and ethical considerations Create variations of the same scenario from different roles, such as ML engineer, data scientist, business stakeholder, or compliance advisor Identify gaps, misinterpretations, or oversimplified reasoning in AI generated content Assess and improve AI reasoning around structured problem solving, edge cases, and application of theoretical concepts In simple terms: You will assess and improve AI generated content by ensuring it reflects the reality of ML engineering practices and challenges. This is not a traditional engineering role. Instead of building models for individual use cases, your expertise will guide how AI systems understand and reason about ML topics at scale. Your feedback will directly improve how AI performs for technical users worldwide. Who this is for You are: A machine learning engineer, data scientist, or AI engineer with several years of hands-on experience Based in the EU or UK Experienced across the ML workflow: model development, evaluation, tuning, deployment and monitoring Comfortable identifying limitations in data, experimental design, model selection, fairness, or explainability Familiar with current ML frameworks, MLOps best practices, and ethical or AI governance standards Available 8 to 20 hours per week Able to start in the coming weeks This role is fully remote and flexible, ideal alongside your existing professional commitments. Why join Flexible, part-time hours Fully remote opportunity Apply your ML expertise to advance the field of AI Contribute to the performance of widely used AI systems Clear scope and structured onboarding Potential for long-term collaboration based on performance Screening process The application process is straightforward and guided: Complete a short AI based interview Submit a brief written evaluation of ML reasoning Undergo a compliance check to verify your identity and professional background If approved, you will be onboarded and can start shortly after. #LI-AS1

Responsibilities

The role involves hands-on review and refinement of AI-generated outputs across various machine learning topics, ensuring technical accuracy and adherence to ML best practices. Responsibilities also include drafting realistic ML engineering scenarios and creating variations from different professional perspectives.