UX/UI Designer (Remote-Worldwide)

📍 Job Overview

Job Title: UX/UI Designer

Company: Qureos Inc. (Partnering with Micro1)

Location: Remote (Worldwide)

Job Type: Full-Time

Category: Design / Operations (AI Training Input)

Date Posted: July 22, 2026

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

Remote Status: Fully Remote

🚀 Role Summary

• Contribute to cutting-edge AI training by providing high-quality, real-world input through expert UX/UI design.

• Shape the learning, reasoning, and performance of next-generation AI systems by translating human-centered design principles into actionable data.

• Leverage advanced proficiency in UX/UI methodologies and tools like Figma to create intuitive and effective design solutions.

• Collaborate within agile, cross-functional teams to deliver impactful design contributions to a customer-focused project.

📝 Enhancement Note: While this role is titled "UX/UI Designer," its application within the context of AI training input positions it as a specialized operational function. The core of the role involves generating structured, user-centric data that directly influences AI model development, making it akin to a data operations or specialized input role within the AI lifecycle. The "operations" aspect is in the systematic generation and refinement of design-based input for AI training.

📈 Primary Responsibilities

• Design and develop user interfaces and user experiences for AI training modules, ensuring clarity, intuitiveness, and alignment with project objectives.

• Create detailed prototypes and interactive mockups in Figma to illustrate design concepts and user flows for AI model interaction.

• Translate complex AI system requirements into user-friendly design inputs that effectively train AI models.

• Utilize data from analytics platforms (e.g., Adobe Analytics) to inform design decisions and optimize the quality of AI training data.

• Document design processes, user feedback, and rationale behind design choices to ensure transparency and knowledge transfer within the cross-functional team.

• Collaborate closely with AI researchers, data scientists, and project managers to refine design inputs based on AI model performance and feedback.

• Actively participate in agile ceremonies, including sprint planning, daily stand-ups, and retrospectives, providing design insights and contributing to project velocity.

• Provide constructive feedback on AI model outputs and user interaction patterns, identifying areas for improvement in both design and AI training data.

📝 Enhancement Note: The responsibilities are framed to emphasize the operational aspect of creating structured input for AI. The core task is not just designing for end-users but designing for the AI's learning process. This involves a keen understanding of how design choices translate into data points that AI models can interpret and learn from.

🎓 Skills & Qualifications

Education: No specific degree mentioned, but a strong portfolio and demonstrated expertise are paramount. Candidates with degrees in Design, Human-Computer Interaction, Computer Science, or related fields may have a foundational advantage.

Experience: 5-10 years of professional experience in UX/UI design, with a proven track record of delivering user-centered design solutions. Experience in consultative roles or as an independent contributor on complex projects is highly valued.

Required Skills:

• Expert-level proficiency in UX/UI design methodologies, including user research, wireframing, prototyping, and usability testing.

• Advanced experience with Figma, including comprehensive knowledge of its features for prototyping, component libraries, and design system management.

• Demonstrated ability to interpret and leverage analytics platforms (e.g., Adobe Analytics) to drive data-informed design decisions and optimize user experiences.

• Exceptional written and verbal communication skills, with a strong emphasis on clear documentation, articulation of design rationale, and constructive feedback delivery.

• Proven experience working in agile development environments and collaborating effectively within cross-functional teams (e.g., with engineers, product managers, data scientists).

• Ability to work independently as a consultant or contributor, managing workload and delivering high-quality results with minimal supervision. Preferred Skills:

• Familiarity with the unique challenges and opportunities in designing for AI-driven products or digital experiences.

• A passion for exploring how human-centered design principles translate to the development of intelligent systems and AI training methodologies.

• Experience with design system governance and scaling design practices across multiple platforms.

• Basic understanding of AI concepts and machine learning principles, particularly as they relate to data input and model training.

📝 Enhancement Note: The emphasis on "expert-level" and "advanced experience" suggests this role requires seasoned professionals capable of independent contribution and strategic design thinking within a novel application area for UX/UI skills. The "nice to have" AI familiarity indicates a desire for candidates who can quickly grasp the nuances of AI training input.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating expert-level UX/UI design methodologies, showcasing user-centered work across both web and mobile platforms.

• Specific case studies detailing your process from problem identification to final solution, highlighting your role and contributions.

• Examples of complex prototyping and design system management, ideally showcasing scalability and maintainability.

• Demonstrations of how you've used data analytics (e.g., Adobe Analytics) to inform design decisions and measure impact.

• Evidence of strong documentation practices and clear communication of design rationale. Process Documentation:

• Showcase your ability to document design workflows, user research findings, and design decisions clearly and concisely.

• Provide examples of how you've contributed to or managed design systems, including component libraries and style guides.

• Illustrate your approach to iterative design and incorporating feedback from stakeholders, including AI specialists if applicable.

• Demonstrate your understanding of agile processes and how design integrates into sprint cycles.

📝 Enhancement Note: For this role, the portfolio is crucial for demonstrating not just design skill but the ability to translate those skills into structured, teachable inputs for AI. The emphasis should be on the process of generating that input and the clarity of the output.

💵 Compensation & Benefits

Salary Range: Given the "Remote-Worldwide" nature, the "5-10 years" experience level, and the specialized application of UX/UI skills in AI training, a competitive salary is expected. Based on industry benchmarks for experienced UX/UI designers in remote-first environments, and considering the unique nature of the work, the estimated salary range is: $90,000 - $130,000 USD annually. This range can vary significantly based on the candidate's specific location, cost of living, and negotiation.

Benefits: While specific benefits are not detailed, typical offerings for remote, full-time roles with partner organizations like Micro1 often include:

• Competitive salary commensurate with experience and location.

• Health, dental, and vision insurance (may vary by region).

• Paid time off and holidays.

• Professional development opportunities, including access to training and conferences.

• Flexible working hours to accommodate global time zones.

• Opportunities to work with cutting-edge AI technology.

• Potential for long-term engagement or transition to direct employment with Micro1 or its partners.

Working Hours: 40 hours per week, with flexibility to accommodate global time zones. The role requires active participation in agile ceremonies and collaboration with teams across different regions.

📝 Enhancement Note: The salary estimate is based on general market rates for experienced UX/UI designers in North America and Europe, adjusted for a remote, worldwide context. Local market rates for skilled professionals in their respective countries will be a significant factor. The benefits are extrapolated from common practices for remote, full-time positions within tech-adjacent companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Artificial Intelligence, Design Services. Qureos Inc. acts as a platform connecting talent with opportunities, and this specific role is with their partner, Micro1, which focuses on AI development and talent solutions. The AI industry is characterized by rapid innovation, data-centricity, and a strong emphasis on technological advancement.

Company Size: Micro1 is likely a growing company or a specialized division within a larger entity, focused on AI and talent solutions. As a partner to Qureos, it implies a structure that values specialized expertise and project-based collaborations. The ability to work in an agile, cross-functional manner suggests a relatively lean and adaptable organizational structure.

Founded: Information on Micro1's founding date is not provided, but its partnership with Qureos suggests it's an established entity within the tech talent or AI services sector. The focus on "emerging technology" and "next-generation AI systems" indicates a forward-looking and innovative operational ethos.

Team Structure:

• The UX/UI Designer will be part of a project team focused on AI training input, likely comprising AI researchers, data scientists, project managers, and potentially other specialized roles.

• Reporting will likely be to a Project Lead or Design Lead within the Micro1 team.

• Cross-functional collaboration is a cornerstone of this role, requiring close interaction with technical teams to ensure design inputs are effective for AI model training. Methodology:

• Data-driven decision-making is paramount, utilizing analytics to inform design choices that serve as AI training data.

• Agile methodologies will guide project execution, emphasizing iterative development and continuous feedback loops.

• A focus on user-centered design principles, adapted for the unique context of AI training input generation.

• Emphasis on clear documentation and knowledge sharing to facilitate collaboration across dispersed, global teams.

Company Website: https://jobs.qureos.com (Qureos Inc.), https://micro1.io/ (Micro1)

📝 Enhancement Note: The culture is likely to be fast-paced, innovative, and highly collaborative, with a strong emphasis on technical excellence and data integrity. The "partnering with Micro1" aspect means understanding both Qureos's talent platform and Micro1's operational focus on AI is key.

📈 Career & Growth Analysis

Operations Career Level: This role represents a mid-to-senior level position (5-10 years of experience) within a specialized application of design. It's an opportunity to transition or expand UX/UI expertise into the burgeoning field of AI development, specifically in the crucial area of data curation and training input. It can be seen as a specialized "AI Data Operations" role from a design perspective.

Reporting Structure: The UX/UI Designer will report to a project lead or manager within Micro1's AI training initiative. This structure emphasizes clear lines of communication for project deliverables and feedback, vital for a remote, global team.

Operations Impact: The designer's impact is directly tied to the quality and effectiveness of the AI models being trained. By providing superior, well-structured design input, they contribute significantly to the AI's ability to learn, reason, and perform, ultimately influencing the success of the AI product or system.

Growth Opportunities:

• Specialization: Deepen expertise in designing for AI training, becoming a sought-after professional in a rapidly growing niche.

• Skill Development: Gain hands-on experience with AI technologies, data science principles, and advanced analytics within a practical, project-based setting.

• Leadership: Potential to lead design initiatives within AI training projects, mentor junior designers, or contribute to the development of best practices for AI data input.

• Cross-functional Expertise: Broaden understanding of the entire AI development lifecycle and collaborate with diverse technical teams.

📝 Enhancement Note: This role offers a unique career pivot for experienced designers into the AI space, moving beyond traditional product design to a more foundational role in AI development. The growth potential lies in becoming an expert in a critical, emerging aspect of AI operations.

🌐 Work Environment

Office Type: Fully Remote. This offers maximum flexibility in terms of location and work schedule, catering to a global talent pool.

Office Location(s): Worldwide. Candidates can work from any location, provided they have reliable internet access and can coordinate with team members across different time zones.

Workspace Context:

• Collaborative Environment: Despite being remote, the role emphasizes active participation in agile ceremonies and cross-functional collaboration through digital tools. Expect frequent virtual meetings and asynchronous communication.

• Tools & Technology: Access to industry-standard design and collaboration tools (Figma, communication platforms like Slack/Teams, project management software).

• Team Interaction: Opportunities for engagement with a diverse, international team of AI and design professionals, fostering a rich learning environment.

Work Schedule: 40 hours per week. While core working hours might be flexible, candidates must be available for scheduled meetings and collaborative sessions, which may require some overlap with specific time zones relevant to the project team.

📝 Enhancement Note: The remote nature is a significant aspect, requiring strong self-discipline, excellent communication skills, and adaptability to different cultural and temporal working styles.

📄 Application & Portfolio Review Process

Interview Process:

• Application Submission: Submit resume and portfolio through the Qureos platform, addressing screening questions.

• AI Interview: An automated or AI-driven interview (approx. 30 minutes) to assess initial qualifications, communication style, and fit with the role's requirements. This may involve answering pre-recorded questions or scenario-based assessments.

• Hiring Manager Review: A more in-depth interview with the hiring manager from Micro1 to discuss your experience, portfolio, design philosophy, and how your skills align with the AI training project. This stage will likely involve detailed portfolio walkthroughs and discussions on your problem-solving approach.

• Potential Technical/Project Discussion: Depending on the role's complexity, there might be a follow-up session focusing on specific design challenges, agile methodologies, or how you'd approach generating input for AI models.

Portfolio Review Tips:

• Highlight Process: Clearly articulate your design process for each project, emphasizing user-centered methodologies and data-driven decisions.

• Showcase Figma Mastery: Include examples of complex prototypes, design systems, and component libraries built in Figma.

• Demonstrate Analytics Integration: If possible, show how you've used analytics data to refine designs or measure success.

• Focus on AI Relevance: For this role, consider how your projects demonstrate an ability to translate complex requirements into clear, structured outputs, which is analogous to generating AI training data.

• Communication Clarity: Ensure your portfolio is well-organized, visually appealing, and includes concise, compelling descriptions of your work and its impact.

Challenge Preparation:

• Be prepared to discuss how you would approach designing inputs for an AI model that needs to learn specific user behaviors or interface interactions.

• Practice articulating your design decisions and rationale clearly and concisely, as this will be critical for both the AI interview and the hiring manager discussion.

• Research Micro1 and Qureos to understand their mission and how this role contributes to their goals.

📝 Enhancement Note: The AI interview is a unique step that requires candidates to be comfortable with automated assessment platforms and to articulate their skills concisely and effectively within a potentially limited timeframe.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Expert-level proficiency is required for UI design, prototyping, and design system management. This will be the primary tool for creating the design inputs.

• Prototyping Tools (within Figma or standalone): Essential for creating interactive mockups and user flows that serve as training data.

Analytics & Reporting:

• Adobe Analytics: Demonstrated ability to interpret and leverage data from analytics platforms for design decision-making. This implies familiarity with tracking user behavior and performance metrics.

• Other Analytics Tools: Familiarity with other web/mobile analytics platforms may be beneficial.

CRM & Automation:

• Project Management Software: Proficiency with tools like Jira, Asana, Trello, or similar for agile workflow management.

• Communication Platforms: Tools such as Slack, Microsoft Teams, or Google Workspace for seamless team collaboration.

• Documentation Tools: Platforms like Confluence, Notion, or Google Docs for creating design documentation and knowledge bases.

📝 Enhancement Note: The emphasis on Figma and Adobe Analytics suggests a modern design workflow that is data-informed and collaborative. Understanding how these tools integrate into a broader project pipeline is key.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A fundamental belief in designing for the user, adapted to serve the learning needs of AI.

• Data-Driven Approach: Decisions are informed by analytics and performance metrics to ensure the highest quality of AI training input.

• Excellence & Precision: A commitment to delivering high-quality, accurate, and well-documented design outputs.

• Adaptability & Innovation: Embracing new technologies and methodologies, particularly in the rapidly evolving field of AI.

• Collaboration & Transparency: Open communication and teamwork are vital for success in a distributed, cross-functional environment.

Collaboration Style:

• Agile & Iterative: Working in short cycles, with continuous feedback and adaptation based on project needs and AI model performance.

• Cross-functional Integration: Seamlessly working with technical teams (AI researchers, data scientists) to ensure design inputs are effective and aligned with AI objectives.

• Remote-First Communication: Leveraging digital tools effectively for asynchronous and synchronous communication, fostering a connected virtual workspace.

• Constructive Feedback Culture: Encouraging open and honest feedback to improve designs and the overall AI training process.

📝 Enhancement Note: The culture likely values proactive problem-solving, continuous learning, and a strong sense of ownership over one's contributions to the AI development process.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Design to AI Input: The primary challenge is effectively translating traditional UX/UI design principles into data that AI models can learn from, requiring a novel approach to design execution.

• Remote Collaboration: Maintaining strong team cohesion and effective communication across diverse time zones and cultural backgrounds.

• Pace of AI Development: Keeping up with the rapid advancements in AI technology and adapting design input strategies accordingly.

• Defining Success Metrics: Establishing clear metrics for evaluating the quality of design input and its impact on AI model performance.

Learning & Development Opportunities:

• AI Domain Expertise: Gain deep insights into AI development, machine learning, and data science through practical application.

• Advanced Design Applications: Explore the frontiers of UX/UI design in emerging technology sectors.

• Global Collaboration Skills: Enhance abilities in cross-cultural communication and managing projects in a distributed team setting.

• Industry Networking: Connect with professionals at the forefront of AI and design innovation through Qureos and Micro1's networks.

📝 Enhancement Note: This role is positioned at the intersection of design and AI, offering significant opportunities to develop expertise in a highly in-demand and future-oriented field.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing a user flow for an AI model that needs to learn how to categorize complex visual data?" (Focus on process, breakdown of task, and output structure).

• "Describe a time you used analytics data to significantly improve a user experience. How would you apply a similar data-driven approach to generating AI training input?" (Highlight data interpretation and actionable insights).

• "How do you ensure clarity and consistency in your design documentation, especially when working with technical teams remotely?" (Emphasize communication, organization, and stakeholder management). Company & Culture Questions:

• "What interests you about applying UX/UI design principles to AI training, and how do you see your skills contributing to Micro1's mission?" (Show genuine interest and understanding of the role's unique application).

• "How do you approach collaboration and feedback within a remote, cross-functional team?" (Provide examples of successful remote collaboration and feedback exchange).

• "How would you measure the success of your contributions in this role, beyond traditional UX metrics?" (Think about impact on AI model performance, data quality, and project efficiency). Portfolio Presentation Strategy:

• Structure: Organize your portfolio logically, perhaps by project type or by showcasing your process. Start with a brief overview of your experience and expertise.

• Case Studies: For each project, clearly define the problem, your role, the process you followed (research, ideation, design, testing), the tools used (especially Figma), the solutions implemented, and the outcomes/impact.

• Quantify Impact: Whenever possible, use metrics to demonstrate the effectiveness of your designs. For this role, consider how your design input could lead to improved AI performance.

• Figma Showcase: Be prepared to demonstrate your Figma skills, perhaps by walking through a complex prototype or explaining your design system setup.

• Conciseness: Be articulate and concise in your explanations, respecting the interviewer's time.

📝 Enhancement Note: The interview process will likely assess not only design skills but also a candidate's ability to adapt their expertise to a novel application, their comfort with remote work, and their analytical thinking.

📌 Application Steps

To apply for this operations-focused design position:

• Submit your application through the Qureos job portal, ensuring all screening questions are thoroughly answered.

• Portfolio Customization: Curate your portfolio to prominently feature projects that demonstrate complex problem-solving, strong UX/UI methodologies, proficiency in Figma, and experience with data-informed design. If possible, frame past projects in terms of creating structured outputs or clear instructions, analogous to AI training input.

• Resume Optimization: Tailor your resume to highlight keywords such as "UX/UI Design," "Figma," "Prototyping," "Design Systems," "Adobe Analytics," "Data-driven Design," "Agile," "Cross-functional Collaboration," and "AI." Emphasize achievements and quantifiable results.

• Interview Preparation: Practice articulating your design process and rationale clearly. Prepare specific examples for behavioral questions, focusing on collaboration, problem-solving, and adaptability. Research Micro1 and Qureos to understand their vision and how this role fits into their AI initiatives.

• Company & Role Research: Understand Micro1's focus on AI and Qureos's role as a talent platform. Be ready to discuss your interest in contributing to AI development through design input.

⚠️ 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.