Senior UX Researcher (3 Month Contract)

📍 Job Overview

Job Title: Senior UX Researcher (3 Month Contract)

Company: Wikimedia Foundation

Location: Remote

Job Type: Contract, Part-Time

Category: User Experience Research / Operations

Date Posted: April 13, 2026

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

Remote Status: Fully Remote

🚀 Role Summary

• Lead end-to-end execution of mixed-method UX research projects, with a primary focus on quantitative methodologies to inform product development and organizational objectives within the Wikimedia ecosystem.

• Drive research operations, including participant recruitment, data collection, analysis, and reporting, ensuring high-quality, actionable insights are delivered to product teams and stakeholders.

• Collaborate closely with the UX Research team and cross-functional stakeholders to scope research initiatives, define methodologies, and translate findings into strategic recommendations.

• Contribute to a global, remote-first organization dedicated to free knowledge, leveraging UX research to enhance user experiences for contributors and readers of Wikimedia projects.

📝 Enhancement Note: This role is a contract position to cover staff leave, emphasizing a need for immediate impact and self-sufficiency. The "Operations" category is derived from the role's focus on research operations, data analysis, and process execution, which are core to operations functions.

📈 Primary Responsibilities

• Design, plan, and execute quantitative UX research studies, including large-scale surveys, unmoderated testing, diary studies, and UX benchmarking, ensuring rigorous methodology and valid data collection.

• Conduct qualitative research such as user interviews and contextual inquiries, integrating findings with quantitative data for comprehensive user understanding.

• Develop research materials (e.g., survey instruments, interview guides, experimental designs) and manage research operations, including participant screening, scheduling, and distribution.

• Perform statistical analysis on quantitative data and synthesize qualitative findings to identify key user needs, pain points, and opportunities for improvement.

• Translate complex research results into clear, compelling, and actionable insights and recommendations for product managers, designers, engineers, and other stakeholders.

• Communicate research findings effectively through written reports, presentations, and interactive discussions, tailoring communication to different audiences.

• Collaborate with the Manager, UX Research and other team members to scope projects, define research objectives, and ensure alignment with organizational goals.

• Proactively identify research opportunities and contribute to the continuous improvement of UX research processes and methodologies within the team.

📝 Enhancement Note: The emphasis on "quantitative research methodologies" and "statistical analysis, data visualization" points to a strong need for analytical rigor and data-driven decision-making, typical of advanced operations roles. The responsibility for "research operations" specifically highlights process management and execution.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Statistics, Computer Science, or a related field is highly beneficial for understanding research principles and analytical techniques.

Experience: 5+ years of professional experience as a UX Researcher, with a proven track record of leading end-to-end research projects.

Required Skills:

• Expertise in designing and executing quantitative UX research methodologies (e.g., surveys, large-scale unmoderated testing, diary studies, UX benchmarking).

• Proficiency in statistical analysis and data visualization techniques to interpret and present quantitative findings.

• Demonstrated experience with qualitative research methods (e.g., interviews, contextual inquiry, diary studies).

• Strong analytical skills to synthesize complex data from multiple sources into actionable insights.

• Exceptional written and verbal communication skills, with the ability to articulate research findings and recommendations clearly and persuasively to diverse audiences.

• Proven ability to manage research projects from conception to completion, both independently and collaboratively.

• Experience working closely with product teams (product managers, designers, engineers) to integrate research insights into product strategy and development.

• Proficiency in research operations, including participant recruitment, survey distribution, and session scheduling.

• Excellent time-management and organizational skills, with the ability to manage multiple priorities and deadlines effectively in a remote setting.

Preferred Skills:

• Fluency in languages other than English.

• Experience working with volunteer or open-source communities and projects.

• Familiarity with editing Wikipedia or contributing to other wiki projects.

• Experience with specific statistical software (e.g., R, SPSS) or data visualization tools (e.g., Tableau, Power BI).

📝 Enhancement Note: The requirement for "5+ years of experience" and expertise in both quantitative and qualitative methods, alongside "statistical analysis" and "data visualization," positions this as a senior-level role requiring a robust operational understanding of research execution and data interpretation. The "preferred skills" suggest an advantage for candidates with community engagement experience, aligning with Wikimedia's mission.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstration of End-to-End Project Leadership: Showcase several research projects where you independently managed all phases, from initial scoping and methodology selection to analysis and reporting.

• Quantitative Methodology Focus: Include detailed case studies of quantitative research projects (surveys, large-scale testing, benchmarking). Highlight the research questions, your methodological approach, data analysis techniques used, and the resulting actionable insights.

• Data Analysis & Visualization Examples: Provide examples of your statistical analysis capabilities and data visualization skills. This could include charts, dashboards, or reports that effectively communicate complex quantitative data.

• Impact and Actionability: Clearly articulate how your research findings influenced product decisions or organizational objectives. Quantify the impact where possible (e.g., "led to a X% improvement in user task completion").

• Qualitative Integration: If applicable, demonstrate how you've integrated qualitative findings with quantitative data to provide a more holistic understanding of user behavior or needs.

Process Documentation:

• Research Design and Scoping: Include examples of how you scope research projects, define objectives, select appropriate methodologies, and create research plans.

• Research Operations Management: Detail your experience in managing the logistical aspects of research, such as participant recruitment strategies, survey distribution plans, and session scheduling, especially in a remote context.

• Analysis and Reporting Frameworks: Showcase your systematic approach to data analysis and how you structure research reports to ensure clarity, conciseness, and actionable recommendations.

📝 Enhancement Note: For a Senior UX Researcher role, especially one with a quantitative focus and involving research operations, a portfolio is critical. It should not only showcase past work but also the candidate's ability to manage research processes, analyze data rigorously, and translate findings into strategic, actionable outcomes—skills directly transferable to operations management.

💵 Compensation & Benefits

Salary Range: The anticipated hourly rate range for this position for applicants based within the United States is US$45/hour to US$55/hour. For applicants located outside of the US, the pay range will be adjusted to the country of hire, reflecting local cost of living and market standards.

Benefits: As a contract position, standard employee benefits may not apply. However, typical benefits for contractors in a remote-first organization like Wikimedia Foundation often include:

• Flexible working hours (within core collaboration windows).

• Opportunity to work on impactful projects with a global reach.

• Access to a global network of researchers and product teams.

• Potential for future contract extensions or engagements.

• Reimbursement for specific work-related expenses, if applicable.

Working Hours: This is a part-time role with an expected average of 30 hours per week. Candidates must be available for critical meetings and synchronous work between 15:00 to 19:00 UTC. Occasional availability outside of local business hours may be required during data collection phases or for stakeholder meetings.

📝 Enhancement Note: The salary range is provided by the employer. The methodology for estimation was sourced directly from the job description. Benefits for contract roles are generally more limited than for full-time employees; the listed benefits are common for remote contractors in tech/non-profit sectors. The specified UTC working hours are crucial for operations coordination in a global team.

🎯 Team & Company Context

🏢 Company Culture

Industry: Non-profit, Technology, Information Services (primarily focused on operating free knowledge platforms).

Company Size: Large (The Wikimedia Foundation operates globally with hundreds of staff and a vast network of volunteers). The job description mentions staff members in 40+ countries.

Founded: 2003. The Wikimedia Foundation is the non-profit organization that operates Wikipedia and other Wikimedia free knowledge projects.

Team Structure:

• Research Group: This role is part of the Research group, specifically within the UX Research team.

• Reporting: Reports to the Manager, UX Research.

• Collaboration: Works closely with another researcher on the team for project scoping and research operations support, as well as with product teams (product managers, designers, engineers) and other stakeholders across the organization.

Methodology:

• Data-Driven Decision Making: The Wikimedia Foundation emphasizes using data and research to inform decisions, driving continuous improvement of its platforms.

• User-Centric Approach: The core mission is to improve user experiences for both readers and contributors.

• Community Engagement: Values collaboration with volunteers and open-source communities, reflecting its open-source nature.

• Global Reach: Operates as a remote-first organization, valuing diversity and inclusivity across different countries and cultures.

Company Website: https://wikimediafoundation.org/

📝 Enhancement Note: The company's mission as a non-profit dedicated to free knowledge is central to its culture. For an operations-focused role, understanding this mission is key to aligning research efforts with organizational objectives. The remote-first, global nature of the organization necessitates strong communication and collaboration skills, especially across different time zones.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior UX Researcher role, indicating a level of expertise and autonomy expected in leading research initiatives. It's a contract position, suggesting a focus on delivering specific project outcomes rather than long-term career pathing within the organization, although successful contractors may be considered for future roles.

Reporting Structure: The role reports to the Manager, UX Research, and works in close collaboration with another researcher and various product teams. This structure allows for guidance on strategic direction while providing autonomy in research execution.

Operations Impact: The primary impact of this role is to provide crucial research insights that directly inform product development and strategic decisions for Wikipedia and other Wikimedia projects. By understanding user needs and behaviors, this research helps improve the usability, accessibility, and engagement of these globally significant platforms, thereby contributing to the organization's mission of sharing knowledge freely.

Growth Opportunities:

• Project Diversity: Opportunity to work on a variety of research projects that can expand your methodological toolkit and exposure to different user segments and product areas within the Wikimedia ecosystem.

• Cross-Functional Collaboration: Gain experience working with diverse teams (product, engineering, design, other research functions) in a large, mission-driven organization.

• Global Research Exposure: Experience conducting research in a global, remote-first context, which can be valuable for future roles in international organizations.

• Specialization: While the role emphasizes quantitative methods, there's potential to deepen expertise in specific areas through project work and collaboration.

📝 Enhancement Note: While this is a contract role, the "senior" designation implies a significant level of responsibility and potential for contributing to strategic operations. The growth opportunities lie more in the experience gained and the breadth of projects rather than a defined internal promotion path, which is typical for contract positions.

🌐 Work Environment

Office Type: The Wikimedia Foundation is a remote-first organization. This means there is no central physical office requirement for this role. Work is conducted from the employee's home office.

Office Location(s): While the organization has offices in San Francisco, California, USA, this position is designated as fully remote. The employer specifies approved countries and US states for hiring, and candidates must reside within one of these approved locations.

Workspace Context:

• Remote Collaboration: Expect a highly collaborative digital environment utilizing various communication and project management tools.

• Tools and Technology: Access to standard productivity software, collaboration platforms, and potentially specialized research tools provided or approved by the foundation.

• Team Interaction: Regular virtual meetings, stand-ups, and asynchronous communication channels will be used for team interaction and project updates.

Work Schedule: This is a part-time contract (30 hours/week) with specific core working hours required between 15:00-19:00 UTC. This structure is designed to facilitate synchronous collaboration across many of the approved time zones. Flexibility outside these core hours is expected for certain phases of research.

📝 Enhancement Note: The "remote-first" nature is a defining characteristic of the work environment. For operations roles, this means a strong reliance on digital tools for communication, project management, and data handling, and an expectation of self-discipline and effective remote collaboration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely review your application and resume, focusing on your UX research experience, methodology expertise, and alignment with the contract duration and remote requirements.

• Hiring Manager/Team Interview: Expect an interview with the UX Research Manager and potentially another researcher. This stage will delve deeper into your experience with quantitative and qualitative methods, research operations, statistical analysis, and your approach to translating insights into action. Be prepared to discuss specific projects and your contributions, especially those demonstrating end-to-end ownership.

• Portfolio Review: A significant part of the evaluation will be reviewing your portfolio. Be ready to walk through 2-3 key projects that best showcase your skills in quantitative UX research, data analysis, and research operations. Focus on demonstrating impact and actionable outcomes.

• Stakeholder/Cross-functional Interview (Potentially): You might speak with a product manager or designer to assess your collaboration style and ability to work effectively with product teams.

• Final Interview/Offer: A final discussion to confirm fit and extend an offer.

Portfolio Review Tips:

• Highlight Quantitative Expertise: Since this role emphasizes quantitative research, ensure your portfolio prominently features projects where you led surveys, large-scale testing, or benchmarking studies.

• Showcase Research Operations: Include examples of how you managed participant recruitment, survey distribution, and logistical coordination for research studies.

• Demonstrate Impact: For each project, clearly articulate the research problem, your methodology, the key findings, and, most importantly, the resulting actions or impact on the product or users. Use metrics where possible.

• Structure for Clarity: Organize your portfolio logically, perhaps by methodology or project type. Use clear headings, concise descriptions, and compelling visuals. Be prepared to present your work verbally during interviews.

• Tailor to Wikimedia: If possible, subtly tailor your presentation to highlight experience with open-source communities or large-scale digital platforms.

Challenge Preparation:

• Hypothetical Research Design: Be ready to discuss how you would approach a hypothetical research problem relevant to Wikipedia or its users, focusing on methodology selection and operational planning.

• Data Interpretation: You might be asked to interpret a sample data set or chart and explain what insights it provides and what follow-up research might be needed.

• Communication Scenarios: Prepare to explain how you would communicate challenging or unexpected research findings to stakeholders who may have differing opinions or priorities.

📝 Enhancement Note: The emphasis on a portfolio and the specific interview stages are crucial for operations-focused roles. Candidates should prepare to demonstrate not just research knowledge but also project management, data analysis, and communication skills in a structured, evidence-based manner.

🛠 Tools & Technology Stack

Primary Tools:

• Survey Platforms: Tools like SurveyMonkey, Qualtrics, or Google Forms for designing and distributing surveys.

• Statistical Analysis Software: Proficiency in tools such as R, SPSS, Python (with libraries like Pandas, NumPy, SciPy), or similar for quantitative data analysis.

• Data Visualization Tools: Experience with tools like Tableau, Power BI, Matplotlib/Seaborn (Python), or Google Data Studio for creating insightful charts and dashboards.

• Collaboration Platforms: Familiarity with tools like Slack, Zoom, Google Workspace (Docs, Sheets, Meet), Confluence, or similar for communication and documentation in a remote environment.

Analytics & Reporting:

• Web Analytics: Depending on the project, familiarity with tools like Google Analytics or custom internal analytics platforms might be beneficial for understanding user behavior context.

• Reporting Software: Ability to generate clear, concise reports using standard office software or specialized reporting tools.

CRM & Automation:

• While not a direct CRM/automation role, familiarity with how user data is managed and how research insights can feed into product automation or user journey mapping is valuable.

📝 Enhancement Note: While this role is for a UX Researcher, the emphasis on quantitative analysis, statistical software, and data visualization tools aligns strongly with the technical skill set expected in operational roles that handle data processing and analysis. Proficiency in these tools is key for effective research operations and insight generation.

👥 Team Culture & Values

Operations Values:

• Mission-Driven: A strong commitment to the Wikimedia Foundation's mission of free knowledge for all. This translates to research efforts being focused on improving access and contribution.

• Data-Informed: Decisions are expected to be backed by evidence, with a strong emphasis on rigorous research and data analysis.

• Collaboration & Community: Values working together with a diverse, global team of researchers, product professionals, and volunteers. Openness to feedback and shared learning is key.

• Efficiency & Impact: A focus on delivering research that has a tangible impact, optimizing processes to achieve organizational objectives effectively within the contract period.

• Inclusivity & Diversity: The organization actively promotes diversity and equitable treatment, which should be reflected in research participant selection and data interpretation.

Collaboration Style:

• Remote-First Communication: Relies on asynchronous communication (Slack, email, documentation) and scheduled synchronous meetings (Zoom, Google Meet). Clarity and proactivity in communication are essential.

• Cross-Functional Partnership: Works closely with product managers, designers, and engineers, requiring the ability to translate research findings into language and formats that are useful for these disciplines.

• Open Feedback Culture: Encourages constructive feedback among team members to refine research approaches and improve outcomes.

• Knowledge Sharing: Actively shares learnings and best practices within the research team and broader organization through documentation and presentations.

📝 Enhancement Note: The core values of a mission-driven, data-informed, and collaborative organization are central to how operations are conducted. Understanding and embodying these values is crucial for success in this role, especially in a remote, global context.

⚡ Challenges & Growth Opportunities

Challenges:

• Contract Duration: A 3-month contract requires rapid onboarding and immediate productivity. Prioritizing tasks and delivering impactful results within a tight timeframe will be a key challenge.

• Global Time Zones: Coordinating research activities and synchronous meetings across a wide range of global time zones (especially with the 15:00-19:00 UTC requirement) can be operationally complex.

• Data Scale and Complexity: Working with large datasets from a global user base can present challenges in analysis and interpretation, requiring robust methodological and analytical skills.

• Balancing Quantitative and Qualitative: While the role leans quantitative, integrating qualitative insights effectively to provide a complete picture requires careful planning and execution.

• Remote Work Dynamics: Maintaining strong collaboration and communication without in-person interaction requires discipline and proactive engagement.

Learning & Development Opportunities:

• Deep Dive into Open-Source Research: Gain unparalleled experience in understanding the research needs and dynamics of a massive open-source project and its global community.

• Advanced Quantitative Methods: Opportunity to apply and refine advanced quantitative research techniques on a large scale, potentially working with complex experimental designs or large survey datasets.

• Global UX Insights: Develop a deeper understanding of diverse user needs and behaviors across different cultural and linguistic contexts.

• Research Operations Excellence: Hone skills in managing the operational complexities of research in a distributed, international environment.

• Impact on Free Knowledge: Contribute directly to projects that empower free knowledge sharing globally, providing a sense of purpose and significant impact.

📝 Enhancement Note: Understanding potential challenges is key for preparation. The focus on "research operations complexity" and "tight timeframe" directly relates to the operational nature of the role. The growth opportunities highlight the unique experience of working within a global, mission-driven, open-source environment.

💡 Interview Preparation

Strategy Questions:

• Quantitative Research Design: "Describe a complex quantitative UX research project you led from start to finish. What were the key objectives, your methodology, the challenges you faced in data collection and analysis, and what were the actionable insights you delivered?" (Focus on process, rigor, and impact.)

• Research Operations Management: "How do you ensure efficient and ethical research operations, particularly for large-scale surveys or unmoderated studies? Walk me through your process for participant recruitment and data distribution." (Highlight your organizational and logistical skills.)

• Translating Insights: "Imagine you've found a surprising or counter-intuitive result in your quantitative data. How would you validate this finding, and how would you communicate it to a product team that might be resistant to the implications?" (Demonstrate analytical thinking and communication strategy.)

Company & Culture Questions:

• Mission Alignment: "What interests you about the Wikimedia Foundation's mission, and how do you see UX research contributing to that mission?" (Show genuine interest and understanding.)

• Remote Collaboration: "How do you maintain productivity and effective collaboration in a remote-first, globally distributed team environment? What strategies do you use for asynchronous communication?" (Highlight self-management and communication skills.)

• Working with Open Source: "Have you worked with volunteer communities or open-source projects before? If so, what unique considerations arise when conducting research in such environments?" (Address preferred skills if applicable, or demonstrate adaptability.)

Portfolio Presentation Strategy:

• Quant-First Focus: Lead with your strongest quantitative research case studies. Clearly outline the research problem, your methodological choices (why quantitative?), the execution process, your analytical approach, and the concrete outcomes or recommendations.

• Showcase Operations: For each project, briefly touch upon the research operations aspects – how you managed recruitment, distribution, or scheduling, especially if it involved complex logistics.

• Data Visualization Clarity: Ensure any charts or graphs presented are clear, well-labeled, and effectively communicate the key findings you are discussing. Be ready to explain your choices in visualization.

• Impact Storytelling: Frame your project narratives around the impact. Use the STAR method (Situation, Task, Action, Result) to clearly articulate how your research led to positive changes or informed decisions. Quantify results whenever possible.

• Conciseness and Engagement: Be mindful of time. Present your case studies efficiently, focusing on the most critical aspects and engaging your audience. Be prepared for follow-up questions on any part of your process.

📝 Enhancement Note: Interview preparation for operations roles often involves demonstrating a structured, process-oriented approach. Candidates should be ready to articulate their methodologies, showcase their analytical capabilities with data, and highlight their project management and communication skills, especially in a remote context.

📌 Application Steps

To apply for this operations-adjacent UX Research position:

• Submit your application through the provided link on Greenhouse.

• Curate Your Portfolio for Impact: Carefully select 2-3 key UX research projects that best demonstrate your expertise in quantitative methodologies, research operations, and your ability to deliver actionable insights. Ensure these showcase end-to-end project leadership and measurable impact.

• Optimize Your Resume for Operations Keywords: Highlight experience in research operations, statistical analysis, data visualization, project scoping, stakeholder management, and cross-functional collaboration. Use action verbs that reflect process execution and analytical rigor.

• Prepare Your Portfolio Presentation: Practice walking through your selected portfolio projects, focusing on the quantitative aspects, research operations, and the tangible outcomes. Be ready to discuss your methodology and rationale clearly and concisely.

• Research Wikimedia's Mission and Projects: Understand the organization's commitment to free knowledge and its unique position as a global, non-profit, open-source entity. Consider how your research skills can directly contribute to their goals.

⚠️ 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.