Lead Product Designer - AI Trainer - Freelance - 8-20hrs/week - Remote

📍 Job Overview

Job Title: Lead Product Designer - AI Trainer - Freelance

Company: 10x Team

Location: Madrid, Community of Madrid, Spain (Remote)

Job Type: CONTRACTOR

Category: Product Design / AI Training

Date Posted: 2026-04-16

Experience Level: Senior-Level (5-10 years)

Remote Status: Fully Remote (EU/UK candidates only)

🚀 Role Summary

• This is a freelance, part-time (8-20 hours/week) role focused on enhancing AI models' understanding of product design principles and practices.

• You will leverage your extensive product design expertise to review, refine, and validate AI-generated content related to design reasoning, processes, and documentation.

• The position offers a flexible, remote work arrangement, allowing you to contribute your skills alongside existing commitments.

• Success in this role requires a keen eye for detail, strong critical thinking, and the ability to articulate nuanced design concepts for AI training.

📝 Enhancement Note: While the job title is "Lead Product Designer - AI Trainer," the core responsibilities lean heavily into AI quality assurance and training rather than traditional product design leadership. The "Lead" aspect likely refers to the seniority of the designer's input into the AI model's development. The target audience for this role is experienced product designers seeking to apply their expertise in a novel, AI-focused capacity.

📈 Primary Responsibilities

• Critically review and assess AI-generated outputs concerning product design methodologies, user experience (UX) principles, and design system components.

• Evaluate the accuracy, depth, and practical applicability of AI responses related to design processes, project execution, and documentation standards.

• Provide structured, actionable feedback to improve the AI's comprehension and generation of realistic product design scenarios and solutions.

• Develop and draft authentic product design scenarios, case studies, and user journey examples based on your professional experience.

• Create variations of scenarios from diverse perspectives (e.g., product manager, client, end-user, technical stakeholder) to enrich AI training data.

• Identify and articulate specific gaps, logical fallacies, or oversights in AI-generated design content and reasoning.

• Ensure AI outputs align with industry best practices, compliance requirements, and real-world product development constraints.

📝 Enhancement Note: The responsibilities emphasize the application of existing product design knowledge to train an AI, rather than the creation of new designs. This requires a designer who can deconstruct their own expertise and translate it into feedback for a machine learning model. The role is less about "leading" a design team and more about providing expert-level input to an AI development team.

🎓 Skills & Qualifications

Education: No specific educational qualifications are listed, but a strong portfolio and extensive professional experience are implied.

Experience: Significant professional experience as a senior-level Product Designer within the EU or UK is required.

Required Skills:

• Proven expertise in product design, including UX/UI, user research, and interaction design.

• Demonstrated ability to evaluate design reasoning, process documentation, and compliance with project requirements.

• Strong critical thinking and analytical skills to identify nuances and gaps in design logic.

• Experience in advising on, preparing, and executing complex product design projects.

• Excellent written and verbal communication skills for providing clear, structured feedback.

• Ability to work independently, manage time effectively, and meet deadlines for freelance assignments.

• Availability for 8-20 hours per week with prompt responsiveness.

Preferred Skills:

• Experience with design systems and their implementation.

• Familiarity with AI concepts or previous experience in AI training or data annotation.

• Experience creating diverse scenario variations for user testing or design workshops.

• Ability to quickly adapt to new tools and feedback mechanisms.

• Understanding of various product development lifecycle stages and methodologies.

📝 Enhancement Note: The emphasis on "senior-level" and "significant professional experience" suggests that candidates with less than 5-7 years of dedicated product design work will likely not meet the bar. The requirement for EU/UK residency points to potential data privacy or payment structure considerations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a diverse range of product design projects that demonstrate a deep understanding of design reasoning and practical application.

• Include examples of design documentation, process flows, and project planning artifacts to highlight your experience with structured output.

• Projects should reflect your ability to consider multiple perspectives (user, client, stakeholder) in your design approach.

Process Documentation:

• While not directly creating processes for the company, your portfolio should implicitly demonstrate your understanding of design process documentation standards.

• Examples of how you've documented your own design process, decision-making, and rationale will be highly valued.

• Showcase your ability to articulate complex design concepts in a clear and logical manner, which is essential for training AI.

📝 Enhancement Note: The portfolio requirement is less about showcasing a company's product and more about demonstrating the designer's thought process, methodology, and ability to articulate complex design concepts. The AI trainer role requires the ability to "teach" the AI by example, so a portfolio that clearly lays out this teaching ability is key.

💵 Compensation & Benefits

Salary Range: €64 - €100 per hour (EUR)

Benefits:

• Flexible, fully remote freelance contract work.

• Opportunity to apply product design expertise in the rapidly evolving field of AI.

• Direct contribution to the development of cutting-edge AI-powered design systems.

• Free access to the company's in-house AI Academy for professional development.

• Structured onboarding and clear task assignments.

• Ongoing opportunities for collaboration and project engagement.

Working Hours: 8-20 hours per week, flexible scheduling.

📝 Enhancement Note: The salary range is competitive for senior-level freelance design work, particularly in specialized fields like AI training. The "AI Academy" access is a significant perk for professionals looking to upskill in AI. The flexibility is a major draw for individuals seeking supplementary income or project-based work. Based on the location (Madrid, Spain) and the salary range, this compensation is at the higher end for freelance hourly rates in the region, reflecting the specialized nature of the role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / AI / Consulting Services

Company Size: 11-50 employees (based on LinkedIn data for 10x Team)

Founded: 2020 (estimated, based on company profile)

Team Structure:

• The role operates within a freelance network model, connecting expert professionals with AI labs.

• You will likely work independently on assigned tasks, with potential for collaboration within project teams or with AI trainers/engineers.

• Reporting will be to project managers or the AI training coordination team at 10x.team.

Methodology:

• The company's core methodology involves leveraging domain expertise from freelancers to train and refine AI models.

• Data-driven feedback loops are central to improving AI accuracy and relevance.

• Emphasis on structured tasks, clear deliverables, and efficient project execution within the freelance model.

Company Website: https://10x.team/

📝 Enhancement Note: 10x.team positions itself as a bridge between specialized human expertise and the burgeoning field of AI development. The culture likely values autonomy, expertise, and a forward-thinking approach to technology. The "AI Academy" suggests a commitment to continuous learning and skill development within the team and its network.

📈 Career & Growth Analysis

Operations Career Level: This role represents a shift from traditional product design into a specialized niche within AI development, specifically AI training and quality assurance. It's a senior individual contributor role focused on knowledge transfer rather than team management.

Reporting Structure: You will report to project managers or coordinators at 10x.team. Direct interaction with the AI development teams will be to provide feedback and receive task assignments.

Operations Impact: Your work directly influences the capabilities and accuracy of AI models that aim to understand and apply product design principles at scale. This has a significant impact on the future of AI-assisted design tools and processes.

Growth Opportunities:

• Develop deep expertise in AI training methodologies and AI quality assurance.

• Gain exposure to cutting-edge AI labs and their development processes.

• Enhance your understanding of how AI interprets and processes complex professional knowledge.

• Potential to become a regular contributor on multiple AI training projects, building a consistent freelance income stream.

• Utilize the "AI Academy" to expand your knowledge in AI-related fields, potentially opening doors to other AI-focused roles.

📝 Enhancement Note: This role offers a unique growth path for experienced designers looking to pivot or supplement their career into the AI domain. It's about leveraging existing skills in a new context, rather than climbing a traditional design career ladder.

🌐 Work Environment

Office Type: Fully Remote. This is a contract position performed entirely online.

Office Location(s): Candidates must be based in the European Union or United Kingdom, with Spain being a specific example.

Workspace Context:

• You will need a reliable internet connection and a suitable workspace to perform your duties independently.

• Communication will primarily be via digital platforms (email, project management tools, potentially video conferencing).

• The environment is one of autonomous work, with structured tasks and clear feedback channels.

• Access to company-provided AI training platforms and resources will be facilitated.

Work Schedule: Flexible, with a commitment of 8-20 hours per week. This allows for integration with other professional activities or personal schedules. Tasks may need to be completed within specific timeframes, but the overall weekly schedule is adaptable.

📝 Enhancement Note: The remote-first nature and flexible hours are key selling points for this freelance role, catering to experienced professionals who value autonomy and work-life balance. The EU/UK residency requirement is a critical filter for applicants.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Application: Submit your application through the provided link.

• Email Follow-up: You will receive an email with links for further steps.

• Written Evaluation: Complete a short written assessment designed to gauge your understanding of product design principles and your ability to articulate them.

• AI-Powered Interview: Engage in a brief interview conducted by an AI, testing your responses and reasoning.

• Compliance Check: A verification of credentials and identity will be conducted.

• Portfolio Review: Your portfolio will be assessed for relevance, depth, and clarity of design expertise.

Portfolio Review Tips:

• Highlight Process: Instead of just showing final designs, explain your thought process, decision-making rationale, and how you arrived at solutions.

• Showcase Documentation: Include examples of design specifications, user flows, wireframes, and any other documentation artifacts that demonstrate your understanding of thorough project execution.

• Emphasize Critical Analysis: Use case studies to show how you've identified issues, evaluated alternatives, and improved designs. This is directly transferable to evaluating AI outputs.

• Tailor to AI: Briefly explain in your portfolio's introduction or cover letter how your experience is relevant to training AI models on product design concepts.

Challenge Preparation:

• Scenario Thinking: Be prepared to discuss how you would create realistic design scenarios from various stakeholder perspectives.

• Critical Feedback Practice: Mentally rehearse how you would critique AI-generated design advice, focusing on specificity and actionable improvements.

• AI Interaction: Consider how you would frame your feedback to an AI – clear, concise, and unambiguous language will be key.

📝 Enhancement Note: The multi-stage application process, including an AI interview, is distinctive and requires candidates to adapt their preparation. The portfolio review is crucial, focusing on the designer's ability to deconstruct and articulate their expertise for machine learning.

🛠 Tools & Technology Stack

Primary Tools:

• Design Software: Proficiency in industry-standard design tools such as Figma, Sketch, Adobe Creative Suite (XD, Photoshop, Illustrator), etc., is assumed.

• Collaboration Platforms: Familiarity with tools like Slack, Zoom, Google Workspace, or similar for communication and remote collaboration.

• Project Management Tools: Experience with platforms like Asana, Trello, Jira, or Ashby (used for application) may be beneficial.

Analytics & Reporting:

• While not directly building reports, an understanding of UX metrics and how design impacts user behavior and business goals is valuable.

CRM & Automation:

• Experience with CRM systems (e.g., Salesforce, HubSpot) might be relevant if your design experience includes B2B products or SaaS platforms.

• Understanding of basic automation principles or tools could be beneficial for comprehending AI workflows.

📝 Enhancement Note: The core requirement is deep product design expertise, not necessarily specific tool mastery beyond industry standards. The emphasis is on the application of design knowledge, which is then assessed by the AI.

👥 Team Culture & Values

Operations Values:

• Expertise-Driven: The company values deep, practical knowledge from experienced professionals.

• Precision & Accuracy: Emphasis on providing detailed, accurate, and relevant feedback for AI training.

• Efficiency: As a freelance model, efficiency in task completion and communication is paramount.

• Continuous Learning: The provision of an AI Academy highlights a commitment to staying at the forefront of technological advancements.

• Autonomy: Freelancers are expected to manage their time and tasks independently.

Collaboration Style:

• Primarily asynchronous and remote, relying on digital communication channels.

• Structured feedback loops where expert input is integrated into AI model development.

• A collaborative approach to refining AI outputs, where your expertise helps shape the technology.

• Indirect collaboration with AI engineers and data scientists through the feedback and refinement process.

📝 Enhancement Note: The culture is geared towards leveraging specialized freelance talent efficiently. It's a professional, results-oriented environment where individual expertise is highly valued and applied directly to technological advancement.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Tacit Knowledge: The primary challenge is converting your intuitive, experience-based design knowledge into explicit, machine-readable feedback.

• AI Nuances: Understanding the limitations and specific needs of an AI model being trained can be challenging.

• Maintaining Objectivity: Providing unbiased critical feedback on AI outputs, even when they are flawed.

• Scope Management: Effectively managing your 8-20 hours per week to contribute meaningfully to ongoing projects.

Learning & Development Opportunities:

• AI Skill Enhancement: The "AI Academy" offers formal learning opportunities in AI concepts, tools, and methodologies.

• Domain Specialization: Deepen your understanding of how AI models can be trained on specialized professional domains.

• New Working Models: Gain experience in the freelance and remote work economy, specifically within the AI sector.

• Industry Insights: Stay ahead of trends by working directly with AI labs developing next-generation technologies.

📝 Enhancement Note: This role presents a unique opportunity for designers to engage with AI development without needing to become AI engineers. The challenges are intellectual and transferable, offering significant personal and professional growth.

💡 Interview Preparation

Strategy Questions:

• Design Process Articulation: Be ready to walk through a complex product design project from your portfolio, explaining every step, decision, and rationale. Focus on why you made certain choices.

• Critique Methodology: How would you critique an AI's suggestion for a user interface element that looks good but is functionally unsound? Be specific about the criteria you'd use.

• Scenario Creation: Describe how you would create a realistic product design scenario for a new e-commerce feature, considering different user personas and business goals.

• AI Feedback Framing: How would you provide feedback to an AI that is generating generic design advice? What specific language would you use to guide it towards more nuanced and practical solutions?

Company & Culture Questions:

• Motivations: Why are you interested in applying your product design skills to AI training, rather than traditional design roles?

• Time Management: How do you plan to manage your 8-20 hours per week effectively alongside other commitments?

• Feedback Style: Describe your approach to giving constructive criticism.

Portfolio Presentation Strategy:

• Focus on Rationale: For each project, clearly articulate the problem, your process, the constraints, your design decisions, and the outcomes.

• Showcase Documentation: Highlight examples of wireframes, user flows, style guides, or specifications that demonstrate your thoroughness.

• Deconstruct Expertise: Think of your portfolio as a teaching tool. Explain your expertise in a way that someone unfamiliar with design could understand the core principles.

• Quantify Impact (if possible): Even if it's not about direct ROI, mention how your design choices led to improved user experience, efficiency, or achieved specific project goals.

📝 Enhancement Note: Preparation should focus on clarity of thought, the ability to deconstruct complex design concepts, and a genuine interest in AI. The AI interview adds an interesting dimension, requiring candidates to be concise and adaptable.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Ashby.

• Prepare Your Portfolio: Curate your portfolio to prominently feature projects that demonstrate deep design reasoning, process documentation, and problem-solving capabilities. Focus on projects where you can clearly articulate your methodology and decision-making.

• Craft Your Resume: Ensure your resume highlights your senior-level product design experience, specific skills in UX/UI, design systems, and any relevant experience in advising or executing design projects. Use keywords like "Product Design," "UX/UI," "Design Reasoning," "AI Training," and "Freelance."

• Anticipate the AI Interview: Practice articulating your design process and rationale clearly and concisely. Be ready to explain complex design concepts in simple terms.

• Research 10x.team: Understand their mission of connecting expert freelancers with AI labs. Be prepared to articulate why you are a good fit for this unique role and how your skills align with their operational model.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.