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

📍 Job Overview

Job Title: Lead Visual Designer - AI Trainer - Freelance

Company: 10x Team

Location: Madrid, Community of Madrid, Spain (Remote - EU/UK)

Job Type: CONTRACTOR

Category: Revenue Operations / GTM Operations (AI Training & Data Enhancement)

Date Posted: April 16, 2026

Experience Level: Senior (5-10 years)

Remote Status: Fully Remote (EU/UK)

🚀 Role Summary

• This unique freelance role focuses on leveraging senior-level visual design expertise to train and refine Artificial Intelligence (AI) models, specifically in the domain of creative systems.

• The position involves critically reviewing, evaluating, and improving AI-generated visual design outputs, ensuring they meet professional standards and reflect real-world design practices.

• As an AI Trainer, you will apply your deep understanding of design workflows, user interface (UI) assets, branding concepts, and creative execution to enhance the accuracy and relevance of AI models.

• This role offers flexible, part-time freelance work (8-20 hours per week) for experienced visual designers based within the European Union or the United Kingdom, contributing to cutting-edge AI development.

📝 Enhancement Note: While the primary function is visual design, the application of this expertise in an AI training context positions this role within the broader GTM Operations umbrella, specifically focusing on data quality, model refinement, and the operationalization of creative intelligence. The "AI Trainer" aspect implies a direct contribution to the operational efficiency and effectiveness of AI systems that may eventually support GTM functions.

📈 Primary Responsibilities

• Critically review and meticulously refine AI-generated visual design outputs, including but not limited to user interface assets, branding concepts, and creative deliverables.

• Evaluate AI responses for accuracy, creativity, technical feasibility, and alignment with established professional design standards and best practices within the EU/UK market.

• Develop and draft realistic, complex design scenarios based on extensive direct professional experience, ensuring authenticity and practical relevance.

• Generate diverse scenario variations from multiple stakeholder perspectives (e.g., designer, client, creative director, project manager, or end-user) to thoroughly test AI reasoning.

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

• Provide clear, structured, and actionable feedback to AI development teams, contributing directly to the improvement of AI model performance in creative domains.

• Apply expertise in design workflows, documentation, and quality assurance to ensure AI outputs reflect practical procedures and industry-specific documentation standards.

📝 Enhancement Note: The emphasis on "realistic design scenarios," "different perspectives," and identifying "gaps, oversights, or weak reasoning" indicates a need for sophisticated critical thinking and a deep, nuanced understanding of the design process that goes beyond surface-level aesthetics. This aligns with a senior-level operations role focused on quality assurance and process refinement within an AI context.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio and demonstrable expertise are paramount. A degree in Visual Design, Graphic Design, Interaction Design, or a related field is typically expected for senior-level practitioners.

Experience: A minimum of 5-10 years of significant professional visual design experience is required, with a strong preference for candidates based within the EU or UK.

Required Skills:

• Senior-level visual design expertise with a proven track record in creative execution and project delivery.

• Proficiency in evaluating and advising on design processes, workflows, and documentation.

• Strong critical thinking and analytical skills to assess AI-generated content for accuracy, creativity, and relevance.

• Ability to articulate complex design concepts and feedback clearly and concisely.

• Experience in creating realistic scenarios and variations based on professional insights.

• Comfortable working independently with a high degree of autonomy and self-discipline.

• Excellent written and verbal communication skills in English.

Preferred Skills:

• Experience with user interface (UI) design, user experience (UX) principles, and interaction design.

• A strong understanding of branding principles, strategy, and execution across various media.

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

• Experience in quality assurance (QA) for creative assets or design projects.

• Knowledge of different design documentation standards and best practices.

📝 Enhancement Note: The "5-10 years" experience level, combined with the need for "critical feedback" and understanding "complex realities of design practice," suggests a role that requires seasoned professionals who can go beyond basic execution and provide strategic insights into the AI's learning process. This implies a level of operational oversight and quality control.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a diverse range of visual design projects, demonstrating expertise in areas such as UI design, branding, creative campaigns, and detailed design documentation.

• Evidence of critical evaluation and refinement of design work, highlighting problem-solving approaches and iterative improvements.

• Examples of design scenarios or case studies that illustrate a deep understanding of practical design execution and real-world constraints.

Process Documentation:

• Candidates should be prepared to discuss their experience with documenting design processes, standards, and workflows, showcasing how they ensure consistency and quality.

• An understanding of how to translate complex design considerations into clear, actionable instructions or evaluations suitable for AI training is crucial.

📝 Enhancement Note: For an AI training role, the portfolio isn't just about showcasing finished work but about demonstrating the thought process and reasoning behind the design decisions. The ability to document and articulate these processes is critical for training AI models effectively.

💵 Compensation & Benefits

Salary Range: €61 - €100 per hour. This range reflects senior-level freelance expertise, significant professional experience, and the specialized nature of applying visual design skills to AI training.

Benefits:

• Flexible, fully remote freelance contract work, allowing integration with existing commitments.

• Access to 10x.team's in-house AI Academy for professional development and upskilling in AI technologies.

• Opportunity to work with leading AI labs and contribute to cutting-edge AI model development.

• Structured tasks and clear onboarding processes.

• Ongoing opportunities for collaboration and project engagement.

Working Hours: 8-20 hours per week, offering significant flexibility. The role requires prompt availability for task assignment and feedback.

📝 Enhancement Note: The provided hourly rate is at the higher end for freelance creative roles, justified by the specialized nature of AI training and the requirement for senior-level expertise. The "EU/UK" location requirement is crucial for tax and compliance purposes for a contractor role. The "8-20 hours/week" indicates a need for efficient work execution and time management from the contractor.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, AI Development, Freelance Talent Platform. 10x.team operates at the intersection of AI innovation and specialized human expertise, connecting AI labs with top-tier freelance professionals.

Company Size: The provided data does not specify company size, but it operates as a platform connecting freelancers with AI labs, suggesting a lean operational structure focused on talent management and project facilitation.

Founded: The company was founded to address the growing need for expert human input in training advanced AI models.

Team Structure:

• The "team" primarily consists of the freelance professionals engaged for specific projects and the internal 10x.team operations staff facilitating these engagements.

• Freelancers operate independently but are part of a cohort of experts, fostering a community of practice around AI training.

Methodology:

• Data-Driven Evaluation: AI model performance is continuously assessed through expert feedback on generated outputs.

• Agile Project Management: Freelance tasks are typically assigned and managed within agile frameworks, emphasizing iterative feedback and rapid deployment.

• Expert-Led Training: The core methodology relies on leveraging deep domain expertise from freelancers to enhance AI capabilities systematically.

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

📝 Enhancement Note: 10x.team functions as a specialized talent marketplace and operational partner for AI development. The culture is likely fast-paced, results-oriented, and focused on delivering high-quality training data and feedback to AI labs. The "AI Trainer" role is central to their operational model.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Lead Visual Designer - AI Trainer," indicating a senior-level contributor role. It requires seasoned professionals who can apply their extensive practical experience to a novel application area within AI development. It’s not a traditional GTM operations management role but an expert contributor role that supports the operationalization of AI.

Reporting Structure: Freelancers typically report to project managers or leads within the engaging AI lab, with ongoing coordination and support from the 10x.team platform. Direct reporting lines to a traditional "hiring manager" are less common in this freelance model.

Operations Impact: The impact is direct and significant: by refining AI outputs, these visual designers are instrumental in improving the accuracy, reliability, and real-world applicability of AI models. This directly impacts the operational effectiveness of the AI systems being developed, which can subsequently influence GTM strategies, customer experience, and product development.

Growth Opportunities:

• Specialization in AI: Develop deep expertise in AI training methodologies and gain practical experience with cutting-edge AI technologies through the in-house AI Academy.

• Expanded Project Portfolio: Build a diverse portfolio of AI training projects, enhancing marketability in the rapidly growing AI services sector.

• Networking: Connect with leading AI labs and other expert freelancers, fostering potential future collaborations and opportunities.

• Skill Development: Enhance critical evaluation, feedback articulation, and domain-specific knowledge application skills in a high-demand field.

📝 Enhancement Note: The growth potential here is in becoming a highly sought-after expert in AI data curation and model refinement, a critical operational component of AI development. It's a growth path that leverages existing design skills but pivots them into the operational domain of AI.

🌐 Work Environment

Office Type: Fully Remote. This role is entirely remote, requiring no physical presence in an office.

Office Location(s): The role is open to candidates located within the European Union and the United Kingdom. Specific city or regional requirements beyond this are not detailed, implying flexibility within these broad geographic areas.

Workspace Context:

• Independent Work Environment: Requires a dedicated, quiet workspace conducive to focused analytical tasks and detailed feedback provision.

• Technology-Enabled Collaboration: Relies on robust internet connectivity and proficiency with digital collaboration tools (e.g., project management platforms, communication software) for task management and feedback exchange.

• AI-Centric Tools: Access to and familiarity with AI training platforms or interfaces provided by the AI labs will be necessary.

Work Schedule: Highly flexible, with the requirement to commit 8-20 hours per week. Tasks can often be completed asynchronously, but prompt availability for assignments and feedback is crucial for project momentum.

📝 Enhancement Note: The "Remote (EU/UK)" designation is critical for a freelance contractor role, ensuring compliance with local labor laws and tax regulations. The emphasis on prompt availability highlights the operational need for timely input to keep AI training pipelines moving.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Application & Written Evaluation: Submit a standard application, followed by a short written evaluation to assess foundational understanding and communication skills.

• AI-Powered Interview: Engage in a brief, AI-led interview designed to assess cognitive abilities, problem-solving approaches, and potentially communication style.

• Compliance Check: A credentials and identity verification process to ensure eligibility and authenticity.

• Portfolio Review: A critical component where your visual design portfolio will be evaluated not just for aesthetic quality but for the depth of your design reasoning, process documentation, and critical evaluation capabilities. Be prepared to discuss specific examples of how you've identified and solved complex design challenges.

Portfolio Review Tips:

• Highlight Process, Not Just Product: Showcase your design process, including research, ideation, iteration, and problem-solving. Emphasize how you arrived at the final solution.

• Demonstrate Criticality: Include examples where you've critically evaluated design work (your own or others') and proposed improvements. This is key for the AI training aspect.

• Articulate Reasoning: Be prepared to clearly explain the rationale behind your design decisions, especially in the context of user needs, brand strategy, and technical constraints.

• Scenario-Based Examples: If possible, include examples that demonstrate your ability to think through different use cases or stakeholder perspectives.

• Documentation Examples: Showcase any examples of design documentation, style guides, or process outlines you've created.

Challenge Preparation:

• Expect tasks that might involve evaluating AI-generated design concepts or scenarios, requiring you to provide structured feedback on their realism, effectiveness, and adherence to design principles.

• Prepare to articulate how you would approach training an AI to understand nuances in visual design, such as brand consistency across different media or the user experience implications of specific UI elements.

• Focus on clear, concise communication of complex ideas, as this is vital for effective AI training.

📝 Enhancement Note: The multi-stage application process, including a written evaluation and an AI-powered interview, is designed to filter candidates efficiently for a role that demands specific analytical and communication skills beyond traditional design portfolios. The emphasis on portfolio review for reasoning and process is crucial.

🛠 Tools & Technology Stack

Primary Tools:

• Design Software: Proficiency in industry-standard design tools such as Adobe Creative Suite (Photoshop, Illustrator, InDesign), Figma, Sketch, or similar.

• Collaboration Platforms: Familiarity with tools like Slack, Microsoft Teams, Asana, Trello, or Jira for communication and task management.

• AI Training/Annotation Platforms: While specific platforms are not listed, candidates should be adaptable to learning new interfaces for reviewing and annotating AI-generated content.

Analytics & Reporting:

CRM & Automation:

• Not directly relevant to this specific role, but an appreciation for how visual design integrates into broader customer journeys and automated workflows is a plus.

📝 Enhancement Note: The core technical requirement is mastery of visual design tools. Adaptability to new AI-specific platforms is more important than pre-existing knowledge of niche AI tools, given the nature of the role.

👥 Team Culture & Values

Operations Values:

• Excellence in Execution: A commitment to delivering high-quality, accurate, and insightful feedback that measurably improves AI model performance.

• Data-Driven Improvement: Utilizing professional experience and critical analysis to provide data-informed evaluations that guide AI development.

• Continuous Learning: Embracing new technologies and methodologies, particularly in the rapidly evolving field of AI.

• Integrity & Autonomy: Operating with a high degree of professionalism, honesty, and independence in task completion.

• Collaboration: Effectively communicating feedback and insights to both AI lab teams and 10x.team project managers.

Collaboration Style:

• Remote & Asynchronous: Primarily asynchronous collaboration via digital platforms, requiring clear and concise written communication.

• Feedback-Oriented: A culture that values constructive criticism and detailed feedback as essential drivers of AI model improvement.

• Expert-to-Expert: Interaction is often at a professional peer level, focused on domain expertise and operational effectiveness.

📝 Enhancement Note: The values emphasize precision, analytical rigor, and a forward-thinking approach, all critical for operationalizing AI development through expert human input.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Nuance: The primary challenge will be translating the subtle nuances and subjective elements of visual design reasoning into clear, actionable feedback for AI models that operate on logic and data.

• Subjectivity vs. Objectivity: Balancing subjective design preferences with objective evaluation criteria to ensure AI training is consistent and effective.

• Pace of AI Development: Keeping pace with the rapid advancements in AI technology and adapting assessment strategies accordingly.

• Scalability of Feedback: Developing methods to provide feedback efficiently at scale, given the volume of AI-generated content.

Learning & Development Opportunities:

• AI Upskilling: Direct access to the in-house AI Academy provides structured learning paths to deepen understanding of AI concepts, ML principles, and AI development lifecycles.

• Domain Specialization: Becoming an expert in a niche but rapidly growing field: applying creative domain knowledge to AI operationalization.

• Industry Exposure: Gaining insights into how leading AI labs operate and the specific challenges they face in developing advanced creative AI systems.

• Freelance Business Acumen: Developing skills in managing freelance workload, client communication, and project delivery within a platform ecosystem.

📝 Enhancement Note: The challenges are inherent to pioneering new fields, requiring adaptability and a problem-solving mindset. The growth opportunities are substantial for those looking to pivot their creative expertise into the operational domain of AI.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex visual design project you managed from concept to completion. What were the key challenges, and how did you ensure the final deliverable met professional standards?" (Focus on process, problem-solving, and quality assurance.)

• "How would you evaluate an AI-generated user interface design for a mobile banking app? What criteria would you use, and what specific feedback would you provide to improve it?" (Demonstrate critical evaluation and application of UI/UX principles.)

Company & Culture Questions:

• "What interests you about applying your visual design expertise to AI training, as opposed to traditional design roles?" (Highlight motivation and understanding of the role's unique nature.)

• "How do you approach providing critical feedback to creative work, and how would you adapt this for an AI model?" (Assess communication style and adaptability.)

Portfolio Presentation Strategy:

• Select Case Studies Carefully: Choose projects that best demonstrate your critical thinking, process documentation, and ability to articulate design rationale.

• Emphasize the "Why" and "How": For each project, clearly explain the problem, your approach, the decisions you made, and the iterative steps you took.

• Showcase Critical Evaluation: If possible, include an example where you had to critique or refine existing design work, explaining your reasoning.

• Quantify Impact (if possible): While difficult for design alone, if your work led to measurable improvements (e.g., user engagement, conversion), highlight this.

• Be Prepared for Hypotheticals: Anticipate questions about how you would approach specific AI training scenarios based on your portfolio examples.

📝 Enhancement Note: Interview preparation should focus on demonstrating not just design skill but also analytical rigor, communication clarity, and an understanding of how to operationalize design expertise for AI development.

📌 Application Steps

To apply for this operations-adjacent AI training position:

• Submit your application through the provided link on Ashby.

• Complete the Written Evaluation: Prepare thoughtful responses that showcase your understanding of visual design principles and your ability to articulate them clearly.

• Engage with the AI-Powered Interview: Approach this with the same analytical and problem-solving mindset you would use for a design challenge.

• Curate Your Portfolio for Process and Reasoning: Select portfolio pieces that best illustrate your design process, critical evaluation skills, and ability to explain complex design decisions. Be ready to discuss these in detail.

• Research 10x.team and AI Training: Understand the company's mission and the general principles of AI training to articulate your interest and how your skills align.

• Verify Eligibility: Ensure you meet the EU/UK residency requirement for this freelance, contractor role.

⚠️ 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.