Customer Success Manager - AI Trainer - Freelance - 8-20 hrs/week - Remote

Updated: 07 July 2026

Freelance | 8–20 hrs/week | Remote (EU/UK)

Are you an experienced customer success manager who instinctively spots gaps in client engagement and understands the practical realities of managing customer relationships? Do you have 8 to 20 hours per week available alongside your main job or consulting projects? Join us in shaping how AI understands and applies customer success expertise at scale.

About the Role
10x Team connects expert freelancers with leading AI labs building next-generation models. We are looking for knowledgeable customer success managers based in the EU or UK to enhance the accuracy, depth, and real-world relevance of AI-powered customer management systems.

What You Will Do

• Review and refine AI-generated outputs related to customer success, client engagement, support processes, and practical aspects of customer management

• Evaluate AI responses for accuracy, practicality, and compliance with real-world requirements

• Draft realistic customer scenarios based on your direct professional experience

• Create scenario variations from different perspectives (e.g. customer success manager, client, support team, or stakeholder)

• Identify gaps, oversights, or weak reasoning in AI-generated customer success content

In simple terms: You will assess and improve AI-generated content, ensuring it reflects authentic customer success reasoning, real client relationships, and practical procedures. Rather than conducting traditional customer success work, you’ll apply your expertise to help AI systems understand and reason about customer success processes at scale.

Who You Are

• A senior-level customer success manager with significant professional experience within the EU or UK

• Experienced in advising on, developing, and executing customer success strategies

• Skilled at evaluating client engagement processes, customer requirements, and compliance

• Comfortable working independently and providing structured, critical feedback

• Available for 8–20 hours per week, with prompt availability

Why Join?

• Flexible, fully remote freelance work that fits your current commitments

• Apply your customer success expertise in a rapidly evolving, high-impact AI environment

• Directly contribute to building advanced AI customer management systems

• Free access to our in-house AI Academy to further develop your AI skillset

• Clear onboarding, structured tasks, and ongoing opportunities for collaboration

How to Apply:

After applying, you’ll receive an email detailing the steps to:

• ⁠Complete a short written assessment

• Participate in an AI-powered interview

Important: Your application is only complete once you finish all steps via the email link.

Please note: these AI Lab missions are not traditional job openings with fixed start dates. Project demand is highly dynamic and matching depends on your expertise, availability, and current AI Lab needs. Some experts are matched within days, while others may wait longer for a suitable project.

Join us to help shape the customer success expertise of the world’s most advanced AI models!

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NOTE

At 10x, there are two types of opportunities:

1. Traditional freelance missions
These are regular project-based opportunities where the listed mission is the actual project you may work on.

2. AI Lab roles
For AI Lab roles, we scout, review, and approve profiles for access to future project opportunities.

The missions listed for AI Lab roles are not traditional job openings. AI Lab work is often highly confidential as this exposes information of what an AI Lab is working on, and project requests are unpredictable. When an AI Lab request comes in, we often need to respond within 24 hours with suitable talent.

Matching depends on the specific needs of each AI Lab project and your niche expertise. Once your profile is reviewed and approved, you may be matched to relevant AI Lab projects when suitable opportunities arise.

This can happen within hours, but it may also take months, depending on the researchers at the AI labs and their project needs.