User Study Researcher II#26-25054

$70.14 per hour

Sunnyvale, CA

Onsite Job Description

Job Summary

At Client, we strive to achieve surprise and delight for every one of our millions of customers around the world. We are currently looking for a contractor to join the Interaction & Human Factors team to support data collection and data labeling/validation for development of sensor-based interactions. An ideal candidate for this role will have outstanding interpersonal communication skills, high attention to detail, and a passion for conducting impactful research in support of creating better user experiences. Description

• Manage recruitment and scheduling of qualified candidates based on study requirements.
  
• Facilitate, conduct, and lead in-person user studies
  
• Prepare, troubleshoot, and maintain study specific equipment for data collection efforts
  
• Assist with development of instructional materials as needed
  
• Develop and distribute surveys, review and collate survey responses and other feedback
  
• Set up and break down study session areas
  
• Engage and communicate with participants
  
• Ensure appropriate participant compliance with protocol
  
• Document session issues
  
• Manage participant data including transferring data from test devices or session notes to secure storage
  
• Assist with data review and clean-up
  
• Validate auto-labeled data and machine-generated transcripts against source recordings, correcting errors and flagging recurring or systematic issues for the team
  
• Perform manual annotation of data (audio, video, sensor, and/or text) according to established labeling guidelines when auto-labeling is not available or requires human review
  
• Use LLM-based tools, where appropriate, to accelerate labeling, transcript review, and preliminary analysis, applying human judgment to verify and QA model-generated output
  
• Track labeling/annotation quality and consistency, and contribute feedback to refine labeling guidelines and workflows Key Qualifications
  
• Qualitative user research skills including interviews and usability testing
  
• High attention to detail & great note taking skills
  
• Experience reviewing, validating, and correcting labeled data and transcripts, with a consistent eye for accuracy and edge cases
  
• Ability to perform manual data annotation against defined labeling guidelines when automated labels are unavailable or unreliable
  
• Knowledge of ergonomics or usability of consumer products
  
• Comfortable with executing commands in

Terminal Preferred Skills:

• Familiar with motion capture hardware & software.
  
• Experience with quantitative analysis tools or languages such as Python, R, MatLab, or JMP.
  
• Experience validating auto-labeled data and machine-generated transcripts (e.g., speech-to-text, activity/event detection)
  
• Familiarity with data annotation tools and workflows, and the ability to interpret and apply labeling schemas/guidelines
  
• Experience using LLM-based tools to assist with data labeling, transcript review, or qualitative analysis (e.g., drafting annotations, summarization, categorization, or QA of model output) Education & Experience
  
• Bachelor's degree required.
  
• Preferred disciplines: Human Computer Interaction, Human Factors, Mechanical Engineering, Psychology, Marketing, Computer Science, or other related discipline.
  Additional Credentials - (Preferred credentials particularly for those who do not have a Bachelors major in related discipline.)
  
• Master's degree in related discipline
  
• Completion of certificate, training, or "boot camp" program for UX research, human-computer interaction, or human subjects research.
  
• 1-3 years of hands-on work in human factors, industrial engineering, cognitive engineering, experimental psychology, and/or human-computer interaction.
  
• Hands-on experience with data annotation, transcript validation, or dataset QA in a research, ML, or operations context