Freelance AI Architect & Trainer — Remote (EU/UK)

10x.Team; Roma; In loco; EUR 82.656 - 165.312; Part-time

Vantaggi offerti da questo lavoro

Remote work

Flexible hours

Freelance network access

Descrizione del lavoro

10x Team is seeking an experienced AI Architect – AI Trainer for a remote, EU/UK freelance engagement. 8–20 hours per week, flexible scheduling, and the chance to shape and train state-of-the-art AI models while collaborating with labs and researchers.

You will review AI outputs, assess architectural feasibility, develop practical examples and use cases, create scenario variations for different roles, and provide concrete feedback to improve model reasoning and industry alignment.

Competenze

• Proven track record in AI architecture and ML systems design.
• Based in the EU or UK, able to work remotely.
• Strong ability to communicate feedback clearly and asynchronously.

Mansioni

• Review and enhance AI-generated outputs related to architecture, design, and scalability.
• Evaluate the technical feasibility of AI-driven architectural scenarios and solutions.
• Develop practical examples, use cases, and risk assessments from domain experience.
• Create scenario variations for different architectural roles – solution architects, data scientists, leads.
• Identify shortcomings, risks, and potential gaps in AI-generated suggestions, providing actionable feedback.
• Directly influence how AI models reason about architecture design and industry challenges.

Conoscenze

AI architecture

ML systems

Feedback delivery

Remote collaboration

Scenario design

TensorFlow

PyTorch

Strumenti

TensorFlow

PyTorch

Large-scale systems

Descrizione del lavoro

10x Team is seeking an experienced AI Architect – AI Trainer for a remote, EU/UK freelance engagement. 8–20 hours per week, flexible scheduling, and the chance to shape and train state-of-the-art AI models while collaborating with labs and researchers.

You will review AI outputs, assess architectural feasibility, develop practical examples and use cases, create scenario variations for different roles, and provide concrete feedback to improve model reasoning and industry alignment.