📍 Job Overview
Job Title: UX Research Analyst (US-Remote)
Company: DataForce by TransPerfect
Location: United States (Remote – East Coast preferred)
Job Type: TEMPORARY
Category: Operations (Data Analysis & Research Operations)
Date Posted: 2026-08-25T14:44:28
Experience Level: 2-5 years
Remote Status: Remote Solely
🚀 Role Summary
• Implement and manage questionnaire-based research studies, focusing on operationalizing research designs for Text-to-Speech (TTS) and Translation quality initiatives.
• Build, configure, and maintain complex surveys and workflows within Qualtrics to ensure accurate data collection and study execution.
• Monitor live research studies, rigorously validate data quality, and perform in-depth analysis to identify key trends and insights.
• Produce structured, insight-driven reports and visualizations for client stakeholders, ensuring clear communication of research findings.
• Collaborate closely with US East Coast-based client research teams to facilitate seamless study execution and reporting.
📝 Enhancement Note: This role is a temporary, fixed-term engagement focused on the operational execution of research studies. While it involves research analysis, the primary emphasis is on the systematic implementation and management of survey-based projects using tools like Qualtrics, rather than independent research design. The role requires a strong operational mindset and a focus on process efficiency and data integrity within a research context.
📈 Primary Responsibilities
• Construct, configure, and meticulously manage questionnaire-based research studies utilizing Qualtrics, ensuring all survey logic and workflows align with provided research designs.
• Implement sophisticated survey logic, branching, and conditional workflows to support complex research protocols and ensure data relevance.
• Proactively launch and continuously monitor live research studies, identifying and resolving any execution issues to maintain data integrity and study timelines.
• Systematically collect, organize, and rigorously validate incoming survey responses to guarantee the accuracy and reliability of the collected data.
• Perform thorough data cleaning and validation procedures to ensure the highest quality of data for subsequent analysis and reporting.
• Analyze study results to identify significant trends, patterns, anomalies, and the primary drivers influencing user responses.
• Develop and deliver structured summaries, compelling visualizations, and comprehensive reports that clearly articulate research findings to client stakeholders.
• Engage in direct collaboration with client stakeholders, primarily located on the US East Coast, to ensure alignment on study execution and reporting requirements.
• Maintain comprehensive documentation for all research processes, ensuring organized, repeatable, and scalable research operations.
📝 Enhancement Note: The responsibilities highlight a strong emphasis on execution, process management, and data quality within a research framework. The role requires a candidate who can translate research designs into functional surveys, manage their deployment, and ensure the integrity of the data collected, leading to actionable insights.
🎓 Skills & Qualifications
Education: While no specific degree is mandated, a Bachelor’s degree in a related field such as Psychology, Sociology, Human-Computer Interaction, Statistics, Data Science, or a related discipline is often beneficial for understanding research methodologies.
Experience: 1-3 years of direct experience in supporting or executing questionnaire-based research studies, with a proven track record in data validation and insight generation.
Required Skills:
• Proven experience building, configuring, and managing questionnaire-based research studies, with a strong preference for Qualtrics.
• Demonstrated ability to collect, validate, and analyze survey responses, translating raw data into insightful summaries and reports.
• Advanced working knowledge of Qualtrics, specifically in survey logic, conditional branching, and workflow configuration.
• Fluent proficiency in English, both written and verbal, for clear communication with internal teams and external stakeholders.
• Strong analytical thinking capabilities, with exceptional attention to detail to ensure data accuracy and study integrity.
• Proven ability to follow structured research plans and execute tasks independently with minimal supervision.
• Experience with data cleaning, validation, and preparation for analysis.
Preferred Skills:
• Direct experience in Text-to-Speech (TTS) quality assessment, voice testing, translation quality evaluation, or similar domains relevant to AI/ML data.
• Familiarity with software development lifecycles, technology product environments, or digital product research.
• Foundational understanding of statistical principles relevant to survey data analysis.
• Basic familiarity with user interface (UI) design principles and user experience (UX) concepts.
• Experience working effectively within distributed or international project teams.
📝 Enhancement Note: The required skills emphasize hands-on experience with survey platforms and data handling, while preferred skills point towards a desirable background in AI/ML-related data domains and tech environments, suggesting the company’s focus on advanced data services.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
• Demonstrations of at least 2-3 questionnaire-based research studies managed from setup to reporting, showcasing the candidate’s ability to execute complex survey logic and workflows.
• Specific examples of data validation and cleaning processes applied to survey data, highlighting methods used to ensure data accuracy and reliability.
• Case studies detailing the analysis of survey results, including how trends, patterns, and key drivers were identified and communicated.
• Evidence of report generation, including examples of structured summaries and visualizations that clearly present findings to stakeholders.
• Documentation showcasing proficiency with Qualtrics or similar survey platforms, including examples of complex survey configurations.
Process Documentation:
• Examples of workflow design and optimization for research study execution, illustrating how processes were streamlined for efficiency and data quality.
• Documentation related to the implementation and monitoring of live studies, including quality assurance checks and issue resolution.
• Evidence of performance analysis and measurement for research projects, demonstrating how study success and data integrity were tracked.
📝 Enhancement Note: A portfolio is crucial for this role to demonstrate practical application of survey management and data analysis skills. Candidates should focus on showcasing their ability to execute research operations efficiently and accurately, with a strong emphasis on the tools and processes involved.
💵 Compensation & Benefits
Salary Range: Based on the temporary nature of the role, the 1-3 years of experience requirement, and the US-based remote location, a competitive hourly rate is expected. For this type of engagement in the US market, an estimated range of $25 – $40 per hour is typical, depending on specific experience and qualifications. This range is informed by industry benchmarks for contract UX Research Analysts and Data Analysts with Qualtrics expertise in the US.
Benefits:
• Fixed-term employment with potential for extension, offering a defined project scope.
• Opportunity to work with a leading global provider of language and technology solutions (TransPerfect).
• Exposure to cutting-edge AI and Machine Learning data initiatives, particularly in TTS and translation quality.
• Access to potentially impactful projects for prestigious technology companies.
• Remote work flexibility, with a preference for candidates on the US East Coast to align with client working hours.
Working Hours: Up to 40 hours per week, Monday through Friday. The schedule will be designed to facilitate collaboration with US East Coast-based client stakeholders, requiring potential overlap with standard US Eastern Time business hours.
📝 Enhancement Note: As this is a temporary position, comprehensive benefits typically associated with full-time employment (e.g., health insurance, retirement plans) are unlikely. The compensation is expected to be an hourly rate. The “preferred East Coast” location suggests a need for synchronous collaboration during typical US business hours.
🎯 Team & Company Context
🏢 Company Culture
Industry: DataForce by TransPerfect operates within the AI and Machine Learning data services sector, a rapidly growing field focused on providing high-quality data for AI model training. This is a specialized segment within the broader Language and Technology Solutions industry, where TransPerfect is a dominant player.
Company Size: TransPerfect is a large global organization with offices in over 100 cities worldwide, indicating a robust corporate structure and extensive resources. DataForce, as a department within TransPerfect, likely operates with specialized teams focused on data collection and processing for AI applications.
Founded: TransPerfect was founded in 1996, establishing a long-standing presence and deep expertise in the global business solutions market. This history suggests a stable and experienced corporate environment.
Team Structure:
• The role likely sits within a dedicated DataForce project team focused on specific AI data initiatives, such as TTS or translation quality.
• Collaboration will occur with a client’s research team, suggesting a matrixed reporting structure where the analyst reports to a DataForce project manager but takes direction from the client’s research leads.
• Cross-functional collaboration is expected with other data specialists, project managers, and potentially client-side product managers or engineers involved in AI development.
Methodology:
• Data-driven approaches are core, with a focus on collecting, validating, and analyzing data to support AI model development.
• Workflow planning and optimization are critical for managing research studies efficiently and ensuring data quality at scale.
• Automation and efficiency practices are likely employed to streamline data collection and processing tasks, especially given the need for large datasets.
Company Website: https://www.transperfect.com/dataforce
📝 Enhancement Note: DataForce’s position within TransPerfect suggests a blend of specialized AI data expertise within a large, established corporate framework. The emphasis on “operationalizing” and “managing” research studies indicates a practical, execution-oriented approach to data acquisition for AI.
📈 Career & Growth Analysis
Operations Career Level: This role is an “Analyst” level position, typically suited for individuals with foundational experience (1-3 years) in research operations or data analysis. It’s an execution-focused role requiring proficiency in specific tools and processes rather than strategic design or leadership.
Reporting Structure: The analyst will likely report to a Project Manager or Team Lead within DataForce, who oversees the operational aspects of the research studies. Direct day-to-day guidance will come from the client’s research team, particularly regarding study setup and analysis requirements.
Operations Impact: The UX Research Analyst directly impacts the quality and effectiveness of AI models by ensuring the collection and validation of high-quality training data. Accurate and well-analyzed survey data is critical for improving TTS accuracy, translation quality, and overall human-machine interaction.
Growth Opportunities:
• Skill Specialization: Deepen expertise in Qualtrics and other survey platforms, as well as specific AI data domains like TTS and translation quality.
• Project Management Exposure: Gain experience managing research projects and workflows, which can lead to more senior project management roles within DataForce or TransPerfect.
• Data Analysis Advancement: Develop advanced data analysis and reporting skills, potentially moving into dedicated Data Analyst or Data Scientist roles if further education or experience is gained.
• Client Relationship Management: Enhance skills in stakeholder communication and collaboration, crucial for client-facing roles in operations.
📝 Enhancement Note: While this is a temporary role, it offers valuable experience in operationalizing research for AI applications, a high-demand area. Growth potential lies in specializing within AI data operations or transitioning into related project management or data analysis roles.
🌐 Work Environment
Office Type: This is a fully remote position, allowing for work from a home office or any suitable remote location within the United States.
Office Location(s): Primarily remote within the United States, with a preference for candidates on the East Coast to facilitate real-time collaboration with client stakeholders.
Workspace Context:
• The work environment is digital and collaborative, relying heavily on online communication tools and project management platforms.
• Access to necessary software, particularly Qualtrics, will be provided or expected as part of the candidate’s existing toolkit.
• Opportunities for team interaction will be primarily through virtual meetings, chat, and project collaboration platforms, requiring proactive engagement.
Work Schedule: A standard 40-hour work week, Monday through Friday, with flexibility in daily hours as long as it aligns with the need for synchronous collaboration with US East Coast-based clients. This implies a need to be available during core US business hours.
📝 Enhancement Note: The remote nature of the role necessitates strong self-discipline and communication skills. The East Coast preference indicates a need for alignment with specific time zones for effective client interaction.
📄 Application & Portfolio Review Process
Interview Process:
• Initial Screening: A review of applications and resumes to assess experience with Qualtrics, survey management, and data analysis.
• Skills Assessment/Case Study: Candidates may be asked to complete a short exercise or case study involving survey configuration, data interpretation, or report generation using sample data. This is crucial for evaluating practical skills.
• Behavioral/Situational Interview: Interviews focusing on how candidates handle research execution challenges, data quality issues, stakeholder communication, and teamwork in a remote setting. Expect questions about attention to detail and ability to follow instructions.
• Client/Team Interview: Potentially an interview with the client’s research team to assess cultural fit and direct collaboration capabilities.
Portfolio Review Tips:
• Showcase Qualtrics Proficiency: Include clear examples of survey structures, logic, and workflow configurations within Qualtrics.
• Highlight Data Validation: Detail your process for cleaning and validating survey data, demonstrating attention to detail and commitment to data integrity.
• Quantify Impact: For analysis and reporting sections, use metrics where possible to demonstrate the impact of your insights (e.g., “identified X key trends that informed Y decision”).
• Focus on Execution: Emphasize your ability to take a research design and execute it flawlessly, manage its lifecycle, and deliver accurate results.
• Tailor to TTS/Translation: If you have experience in these domains, explicitly highlight it with specific examples of data or insights provided.
Challenge Preparation:
• Be prepared to discuss specific examples of complex survey logic you’ve implemented in Qualtrics.
• Practice articulating how you ensure data quality and what steps you take when encountering data anomalies.
• Prepare to walk through a past research project, explaining your role, the process, the challenges, and the outcomes.
• Understand the importance of Text-to-Speech (TTS) and Translation Quality in the context of AI/ML data.
📝 Enhancement Note: The emphasis on Qualtrics and data validation suggests that the practical application of these skills will be heavily scrutinized. A portfolio demonstrating hands-on experience and a clear understanding of research operations processes is vital.
🛠 Tools & Technology Stack
Primary Tools:
• Qualtrics: This is the core tool for survey building, logic implementation, and workflow management. Deep proficiency is essential.
• Data Analysis Tools: While not explicitly stated, expect to use spreadsheet software (e.g., Microsoft Excel, Google Sheets) for data cleaning, validation, and basic analysis. Advanced statistical software (e.g., SPSS, R, Python) might be beneficial but likely not required for this execution-focused role.
• Data Visualization Tools: Proficiency with tools like Tableau, Power BI, or even advanced features within Excel/Google Sheets for creating clear charts and graphs for reports.
Analytics & Reporting:
• Tools for generating structured summaries and reports. This may involve direct output from Qualtrics, supplemented by standard office productivity suites.
• Tools for tracking study progress and data quality metrics.
CRM & Automation:
• While not a direct CRM role, understanding how data feeds into larger systems or workflows might be relevant.
• Automation might be a consideration for repetitive data cleaning or reporting tasks, though the role focuses more on manual execution within the provided framework.
📝 Enhancement Note: Qualtrics is the non-negotiable primary tool. Proficiency in standard data manipulation and visualization tools within office suites is also expected.
👥 Team Culture & Values
Operations Values:
• Precision & Accuracy: A core value, given the need for high-quality data in AI/ML. Every step in data collection and validation must be executed with meticulous attention to detail.
• Efficiency & Execution: The role emphasizes operationalizing research plans and executing them smoothly. Timeliness and process adherence are key.
• Data Integrity: Maintaining the reliability and trustworthiness of the collected data is paramount.
• Collaboration & Communication: Working effectively with both internal DataForce teams and external client stakeholders is essential for successful project delivery.
Collaboration Style:
• Task-Oriented: Collaboration will likely be focused on specific study tasks, data validation checks, and reporting deliverables.
• Remote-First: Communication will be primarily digital via email, chat, and video conferencing, requiring proactive engagement and clear articulation.
• Client-Focused: A strong emphasis on meeting client requirements and ensuring their satisfaction with the research execution and reporting.
📝 Enhancement Note: The culture likely prioritizes rigorous execution and data quality. Success in this role hinges on being a reliable, detail-oriented operator who can effectively communicate within a remote, client-facing context.
⚡ Challenges & Growth Opportunities
Challenges:
• Managing Complex Logic: Implementing and debugging intricate survey logic in Qualtrics can be challenging, requiring careful planning and testing.
• Data Quality Assurance: Ensuring consistent data quality across a potentially large volume of responses, especially when dealing with diverse participant inputs, requires vigilance.
• Time Zone Alignment: Coordinating effectively with US East Coast clients while potentially being in a different US time zone requires careful scheduling and communication.
• Temporary Engagement: Adapting to a fixed-term project with a defined end date and the need to deliver impactful results within that timeframe.
Learning & Development Opportunities:
• Deepen Qualtrics Expertise: Become a power user of Qualtrics for complex survey design and workflow automation.
• Domain Knowledge: Gain specific insights into Text-to-Speech (TTS) and Translation Quality research methodologies and data requirements within AI/ML.
• Data Operations Skills: Enhance skills in data cleaning, validation, and reporting for AI applications.
• Client Interaction: Improve stakeholder communication and management skills in a professional services context.
📝 Enhancement Note: The challenges are largely operational, focusing on execution and detail. Growth is tied to mastering the tools and domain, and excelling in a project-based, client-facing environment.
💡 Interview Preparation
Strategy Questions:
• “Describe a time you had to implement complex logic in a survey. What were the challenges, and how did you overcome them?” (Focus on Qualtrics experience and problem-solving)
• “How do you ensure data quality and accuracy when managing a large-scale survey study?” (Highlight your validation and cleaning processes)
• “Walk me through your process for analyzing survey results and presenting them to stakeholders.” (Emphasize structured reporting and clear communication of insights)
• “How do you manage your time and prioritize tasks when working on multiple research studies simultaneously?” (Demonstrate organizational skills and ability to follow plans)
Company & Culture Questions:
• “What do you know about DataForce by TransPerfect and its work in AI/ML data?” (Show research into the company’s mission and specialization)
• “How do you approach collaboration with a client’s research team, especially when working remotely?” (Highlight communication strategies and client-centricity)
• “What does ‘attention to detail’ mean to you in the context of UX research operations?” (Provide concrete examples of how you apply this)
Portfolio Presentation Strategy:
• Structure: Organize your portfolio by project, clearly stating your role, the objectives, the tools used (especially Qualtrics), your specific contributions (survey building, data validation, analysis, reporting), and the outcomes.
• Highlight Process: For each project, explain your operational process step-by-step, emphasizing how you ensured accuracy and efficiency.
• Showcase Qualtrics: Be ready to demonstrate specific examples of survey logic, complex question types, or workflow configurations within Qualtrics.
• Quantify Results: Whenever possible, use numbers to illustrate the scale of studies managed, the volume of data processed, or the impact of your findings.
• Tailor to TTS/Translation: If applicable, use examples that directly relate to voice data, language, or translation quality research.
📝 Enhancement Note: Interviews will likely focus heavily on practical application of Qualtrics, data integrity, and your ability to execute research operations reliably. Be prepared to demonstrate your skills with specific examples.
📌 Application Steps
To apply for this operations position:
• Submit your application through the provided link on the DataForce by TransPerfect community portal.
• Tailor your resume: Highlight specific experience with Qualtrics, survey design, data validation, and reporting. Use keywords from the job description such as “questionnaire-based research,” “data quality,” “workflow configuration,” and “Text-to-Speech.”
• Prepare your portfolio: Curate examples showcasing your ability to build, manage, and analyze survey studies. Focus on demonstrating your practical skills with Qualtrics and your attention to detail in data handling.
• Research DataForce: Familiarize yourself with DataForce by TransPerfect’s mission, services, and their role within the broader TransPerfect organization. Understand their focus on AI/ML data.
• Practice interview responses: Prepare to discuss specific examples of your experience with survey execution, data quality assurance, and stakeholder communication, particularly in a remote setting.
⚠️ 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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