UX Researcher (TEMP)

📍 Job Overview

Job Title: UX Researcher (TEMP)

Company: User Research International

Location: United States (Remote)

Job Type: TEMPORARY

Category: User Experience (UX) Research

Date Posted: November 24, 2025

Experience Level: 5+ Years

Remote Status: Fully Remote

🚀 Role Summary

• Lead comprehensive end-to-end UX research initiatives, focusing on benchmarking and structured usability studies for complex technical products.

• Evaluate cutting-edge AI/ML tools, APIs, and cloud-based developer platforms to identify user pain points and opportunities for improvement.

• Act as a key collaborator with engineering, data science, and ML practitioner teams to deeply understand technical workflows and user friction.

• Translate intricate technical feedback and research findings into clear, actionable product recommendations that drive user-centric development.

• Manage multiple research studies independently, delivering high-quality insights with minimal oversight in a fast-paced environment.

📝 Enhancement Note: While the role is "UX Researcher", the focus on AI/ML, cloud, and developer-facing tools, along with evaluating APIs and CLIs, positions this as a specialized technical UX research role. The emphasis on "benchmark and usability studies" and "measuring usability, efficiency, and developer experience" highlights a quantitative and systematic approach, aligning it with operations-minded research that seeks measurable outcomes.

📈 Primary Responsibilities

• Plan, design, execute, and report on benchmark and usability studies from inception to completion, ensuring rigorous methodology and clear deliverables.

• Conduct in-depth evaluations of AI/ML tools, APIs, and cloud-based developer platforms, assessing user experience, efficiency, and effectiveness.

• Engage closely with engineers, data scientists, and ML practitioners to gain a thorough understanding of their tools, workflows, and any encountered friction points.

• Synthesize qualitative and quantitative data from research activities into actionable, product-focused recommendations for engineering and product teams.

• Independently manage the lifecycle of multiple research projects concurrently, ensuring timely delivery of high-quality insights and recommendations.

• Design study protocols that effectively measure key performance indicators (KPIs) related to usability, task completion rates, efficiency, and overall developer experience.

• Communicate research findings and recommendations clearly and persuasively to both technical and non-technical stakeholders through written reports and presentations.

• Identify and articulate workflow friction points and areas for optimization within complex technical environments.

📝 Enhancement Note: The responsibilities emphasize a structured, data-driven approach to research, which is highly valued in operations roles. The ability to "synthesize technical feedback into clear, actionable product recommendations" and "measure usability, efficiency, and developer experience" points to a need for analytical rigor and a focus on measurable outcomes, akin to operations-focused analysis.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Computer Science, Information Science, or a related field, or equivalent practical experience.

Experience: Minimum of 5 years of dedicated UX research experience, with a proven track record of independently owning and executing benchmark or structured usability studies.

Required Skills:

• Demonstrated expertise in HCI principles, study design methodologies, and established measurement frameworks.

• Proven experience researching and evaluating developer tools, complex ML workflows, APIs, CLIs, or cloud platforms.

• Exceptional ability to design and conduct end-to-end research studies with minimal supervision.

• Strong analytical skills for synthesizing technical feedback and translating it into actionable product recommendations.

• Excellent written and verbal communication skills, with the ability to articulate complex findings to diverse audiences (technical and non-technical).

• Highly organized, self-directed, and proactive in managing multiple research projects simultaneously.

• Comfortable and effective working within highly technical environments and collaborating with technical teams.

Preferred Skills:

• Familiarity with machine learning concepts, data workflows, or common software engineering practices.

• Experience with qualitative research methodologies in addition to quantitative.

• Knowledge of statistical analysis techniques relevant to UX research.

• Experience presenting research findings to senior leadership and product stakeholders.

📝 Enhancement Note: The emphasis on "structured usability study ownership," "measurement frameworks," and "synthesizing technical feedback into clear, actionable product recommendations" aligns with an operations mindset focused on measurable improvements and process optimization. The requirement for handling "complex technical workflows" and "developer-facing tools" suggests a need for analytical depth and systematic problem-solving.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 2-3 detailed case studies demonstrating end-to-end ownership of benchmark or structured usability studies.

• Clearly articulate the research objectives, methodologies employed, and the specific technical domains evaluated (e.g., AI/ML tools, APIs, cloud platforms).

• Highlight your process for designing study protocols, recruiting participants, and executing research activities with precision.

• Present synthesized findings, focusing on how you translated technical feedback into actionable product recommendations and measurable improvements.

Process Documentation:

• For each case study, detail your structured approach to planning and protocol design, ensuring alignment with research objectives.

• Describe your methods for participant recruitment and data collection, emphasizing rigor and efficiency.

• Illustrate your process for analyzing qualitative and quantitative data to identify key insights and areas for optimization.

• Demonstrate how you documented and presented findings, including recommendations for product improvements and workflow enhancements.

📝 Enhancement Note: For a role emphasizing structured research and measurable outcomes, a portfolio is crucial. The emphasis should be on demonstrating a systematic approach to research design, execution, and analysis, with a clear focus on delivering actionable insights that lead to tangible improvements in product usability and efficiency, akin to operational process documentation and impact analysis.

💵 Compensation & Benefits

Salary Range: $55 - $70 per hour (based on experience and qualifications)

Benefits:

• Employer-paid Health, Vision, and Dental insurance.

• 401(k) retirement savings plan.

• Paid Time Off (PTO).

Working Hours:

• Expected to work a standard full-time schedule, approximately 40 hours per week.

• As a remote role, flexibility in daily scheduling may be possible, but consistent availability for study execution and team collaboration is required.

📝 Enhancement Note: The hourly rate for a temporary UX Researcher with 5+ years of experience in the US typically falls within this range, reflecting specialized skills in technical domains like AI/ML and cloud platforms. The benefits package is competitive for a temporary role, particularly the employer-paid health coverage and 401(k) offering.

🎯 Team & Company Context

🏢 Company Culture

Industry: User Experience (UX) Consulting Research. User Research International (URI) operates within the technology consulting sector, specializing in providing in-depth user insights to help clients improve their products and services.

Company Size: Small to Medium-sized Business (SMB). As a consulting firm, URI likely comprises a dedicated team of researchers and support staff, fostering a close-knit and collaborative work environment.

Founded: The provided information does not specify the founding date, but its existence and growth suggest a stable and established presence in the UX research field.

Team Structure:

• The UX research team likely consists of experienced researchers specializing in various domains, including technical products like AI/ML and cloud platforms.

• Researchers may operate with a high degree of autonomy on individual projects but collaborate closely with project managers and other team members for client engagement.

Methodology:

• URI emphasizes a collaborative culture that values both interpersonal and technical skills.

• The firm operates in a fast-paced environment with quick turnarounds, requiring efficient research planning and execution.

• A core methodology involves enabling clients to build in-depth understanding of their customers' needs through usability testing and market research.

• The company is committed to making products and services more usable and accessible for all users.

Company Website: https://uriux.com

📝 Enhancement Note: The company culture is described as collaborative and valuing both people and technical skills, which is common in specialized consulting firms. The fast-paced environment and quick turnarounds suggest a need for efficient processes and effective time management, aligning with operational efficiency principles.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior-level UX Researcher, indicated by the 5+ years of required experience and the expectation of independent study leadership. It represents a mid-to-senior individual contributor role focused on specialized technical research.

Reporting Structure: As a temporary researcher, the reporting structure will likely be project-centric. You will report to a Project Manager or Senior UX Researcher who oversees client engagements. This structure allows for focused project execution while maintaining clear lines of communication for client needs.

Operations Impact: The impact of this role is directly tied to improving the usability, efficiency, and overall developer experience of complex technical products. By providing data-driven insights and actionable recommendations, this researcher will influence product roadmaps, drive user adoption, reduce friction in technical workflows, and ultimately contribute to the success and market competitiveness of client products. This focus on measurable user outcomes and process efficiency aligns closely with operational goals.

Growth Opportunities:

• Skill Specialization: Deepen expertise in researching AI/ML tools, cloud platforms, and developer workflows, becoming a go-to expert in these niche technical areas.

• Project Leadership: Gain experience managing multiple complex research projects simultaneously, enhancing project management and client communication skills.

• Methodological Advancement: Contribute to the refinement of research methodologies within URI, potentially developing new frameworks for evaluating technical user experiences.

• Client Relationship Building: Develop strong client relationships through consistent delivery of high-quality research and insights, potentially leading to future project opportunities.

📝 Enhancement Note: The growth opportunities focus on deepening specialized technical research skills and improving project management, which are valuable for career progression in operations-adjacent fields that require deep analytical and problem-solving capabilities.

🌐 Work Environment

Office Type: Fully Remote. This role is designated as "TELECOMMUTE" and requires the candidate to be based in the US.

Office Location(s): Remote within the United States.

Workspace Context:

• Flexibility and Autonomy: As a remote, temporary role, you will have the autonomy to set up your workspace and manage your schedule within the parameters of project deadlines and team collaboration needs.

• Technology Integration: You will be expected to leverage standard remote work tools for communication, collaboration, and research execution. Proficiency with video conferencing, project management software, and potentially remote usability testing platforms will be essential.

• Collaboration: Despite the remote nature, active participation in virtual team meetings, client calls, and collaborative working sessions will be key. This includes engaging with engineers, data scientists, and product managers virtually.

Work Schedule:

• The role is expected to be full-time, approximately 40 hours per week, consistent with a temporary employment status.

• While specific daily start and end times may offer some flexibility, availability during core business hours for the US market and for scheduled research sessions or meetings is crucial.

📝 Enhancement Note: The fully remote aspect emphasizes the need for self-discipline, strong communication, and proficiency with digital collaboration tools, all critical for effective operations and remote team management.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess experience and alignment with the role's requirements, particularly regarding technical UX research and structured studies.

• Hiring Manager Interview: A discussion with the hiring manager to delve deeper into your experience, research methodologies, and understanding of technical user environments. Expect to discuss specific examples from your past work.

• Portfolio Presentation/Case Study Review: You will likely be asked to present one or more detailed case studies from your portfolio, showcasing your process, findings, and the impact of your recommendations. This is a critical step to assess your analytical and communication skills.

• Team/Stakeholder Interview: An interview with potential collaborators (e.g., engineers, data scientists, other researchers) to evaluate your ability to work effectively in a team, communicate technical concepts, and integrate into the company's collaborative culture.

• Final Interview (if applicable): A potential final discussion to cover any remaining questions, discuss the terms of the temporary engagement, and confirm cultural fit.

Portfolio Review Tips:

• Focus on Technical Depth: Ensure your case studies highlight experience with developer tools, AI/ML, cloud platforms, or APIs. Clearly explain the technical context of your research.

• Showcase Structured Methodology: Emphasize your process for benchmark and usability studies, including how you designed protocols, collected data, and measured outcomes (e.g., task completion, efficiency metrics).

• Quantify Impact: Whenever possible, quantify the impact of your recommendations. Did your research lead to a measurable improvement in user efficiency, task success rate, or reduction in support tickets?

• Articulate Problem-Solving: Clearly describe the challenges you faced and how you systematically approached solving them through research.

• Tailor to the Role: Highlight projects that best demonstrate your ability to work independently and deliver actionable insights in complex technical environments.

Challenge Preparation:

• Be prepared to discuss how you would approach a hypothetical research scenario involving a new AI/ML tool or a complex developer workflow.

• Practice articulating your research process concisely and clearly, focusing on a step-by-step approach.

• Prepare to answer questions about how you handle ambiguity, manage competing priorities, and communicate difficult feedback to stakeholders.

• Familiarize yourself with common metrics used in UX research for technical products.

📝 Enhancement Note: The emphasis on a portfolio review and case studies is critical for this role. Candidates should prepare to demonstrate not just research skills but also the ability to apply them systematically to complex technical domains and deliver measurable, actionable outcomes, mirroring the rigor expected in operations roles.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Familiarity with tools for remote usability testing and participant management (e.g., UserTesting.com, Lookback, Maze).

• Survey & Data Collection Tools: Proficiency with survey platforms for data gathering (e.g., Qualtrics, SurveyMonkey, Google Forms).

• Prototyping & Wireframing Tools: Basic understanding of tools used for creating or evaluating prototypes (e.g., Figma, Sketch, Adobe XD) may be beneficial for context.

Analytics & Reporting:

• Spreadsheet Software: Advanced proficiency in Excel or Google Sheets for data analysis, manipulation, and basic visualization.

• Data Visualization Tools: Experience with tools like Tableau, Power BI, or even advanced features within Google Sheets/Excel for creating clear charts and dashboards to present findings.

• Statistical Software (Optional but helpful): Familiarity with tools like R, SPSS, or Python libraries (e.g., SciPy, NumPy) for more advanced quantitative analysis.

CRM & Automation:

• While not directly managing CRM, an understanding of how user feedback integrates into product development pipelines, which may be managed via CRM or project management tools, is advantageous.

• Familiarity with project management software (e.g., Jira, Asana, Trello) for tracking research tasks and collaborating with development teams.

📝 Enhancement Note: While the role is research-focused, a strong understanding of tools used for data analysis, reporting, and project management is crucial. This aligns with the operational need for efficient data handling, clear communication of metrics, and streamlined workflow processes.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A core value is using empirical data from user research to inform product decisions and drive measurable improvements.

• User-Centricity: A commitment to understanding and advocating for the user's needs, ensuring products are usable, efficient, and meet user goals.

• Collaboration and Communication: Valuing open communication and teamwork across disciplines (research, engineering, product) to achieve common goals.

• Efficiency and Agility: Operating effectively in a fast-paced environment, delivering high-quality insights promptly to support agile development cycles.

• Continuous Improvement: A dedication to refining research methodologies and contributing to the overall improvement of client products and services.

Collaboration Style:

• Cross-Functional Integration: Expected to work closely with engineers, data scientists, ML practitioners, and product managers, requiring strong communication and the ability to bridge technical and user experience perspectives.

• Feedback Exchange: A culture that encourages constructive feedback, both in giving and receiving, to enhance research quality and product outcomes.

• Knowledge Sharing: Encouraging the sharing of research findings, methodologies, and best practices across the team to foster collective learning and growth.

📝 Enhancement Note: The emphasis on data-driven insights, efficiency, and cross-functional collaboration directly mirrors the core tenets of revenue and sales operations, highlighting the transferable skills and mindset required for success in this research role.

⚡ Challenges & Growth Opportunities

Challenges:

• Researching Complex Technical Domains: Navigating and deeply understanding AI/ML concepts, cloud architectures, and developer workflows to design relevant and impactful research.

• Synthesizing Diverse Technical Feedback: Effectively distilling complex, nuanced feedback from highly technical users into accessible and actionable product recommendations.

• Managing Multiple Concurrent Studies: Balancing the demands of several research projects with varying timelines and complexities, requiring strong organizational and time-management skills.

• Working Independently in a Remote Setting: Maintaining high productivity, proactive communication, and strong self-direction without direct day-to-day supervision.

• Bridging User Needs with Technical Constraints: Finding solutions that satisfy user requirements while being feasible within technical limitations and development roadmaps.

Learning & Development Opportunities:

• Deepen Technical Domain Expertise: Gain hands-on experience researching cutting-edge technologies like AI/ML and cloud platforms, becoming a subject matter expert.

• Enhance Quantitative Research Skills: Refine abilities in designing and analyzing benchmark studies, measuring performance metrics, and presenting data-driven insights.

• Develop Stakeholder Management: Improve skills in communicating complex research findings and influencing product decisions with diverse stakeholders.

• Master Remote Collaboration: Hone best practices for effective communication, project management, and team collaboration in a fully remote environment.

📝 Enhancement Note: The challenges presented are typical for specialized technical research roles and require a problem-solving, analytical approach that is highly valued in operations. The growth opportunities focus on deepening specialized knowledge and improving project execution, which are key for career advancement in operations-oriented roles.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led an end-to-end benchmark study for a complex technical product. What was your process, what were the key findings, and what was the impact?" (Focus on structured methodology, technical domain, and outcome.)

• "How would you approach evaluating the usability and efficiency of an API for a new set of developers? What metrics would you prioritize?" (Demonstrate understanding of developer experience measurement and tool evaluation.)

Company & Culture Questions:

• "What interests you about User Research International and our focus on AI/ML and cloud technologies?" (Showcase research into the company and its specialization.)

• "How do you approach collaborating with engineers and data scientists who may have different priorities or perspectives?" (Assess teamwork and cross-functional communication skills.)

Portfolio Presentation Strategy:

• Structure: For each case study, clearly outline the problem, your approach (methodology, participants), key findings, and recommendations. Use visuals where appropriate.

• Quantify: Emphasize any measurable outcomes or impacts of your research.

• Technical Context: Ensure you can clearly explain the technical domain and user workflows you researched.

• Conciseness: Be mindful of time. Focus on the most impactful aspects of your work and be prepared for follow-up questions.

📝 Enhancement Note: Interview preparation should focus on demonstrating a systematic, data-driven approach to research, with a strong emphasis on technical understanding and the ability to deliver actionable insights. This mirrors the interview expectations for operations roles that require analytical rigor and problem-solving skills.

📌 Application Steps

To apply for this operations-minded UX Research position:

• Submit your application through the provided link on the User Research International careers page.

• Tailor Your Resume: Highlight your experience with benchmark studies, usability testing, HCI, and specifically your work with developer tools, AI/ML, cloud platforms, or APIs. Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best demonstrate your end-to-end research process, technical domain expertise, and ability to deliver actionable recommendations. Ensure they clearly articulate your methodology and impact.

• Prepare Your Presentation: Practice presenting your portfolio case studies concisely and effectively, focusing on your structured approach and measurable outcomes. Be ready to discuss your process in detail.

• Research the Company: Familiarize yourself with User Research International's work, their client base, and their stated values. Understand their specialization in technical UX research.

⚠️ 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.

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