This position plays a crucial role in a high-priority data collection initiative aimed at enhancing AI systems'' understanding of complex software interfaces and multi-step workflows. By collecting high-quality screen annotations and recordings from experienced domain experts, this project seeks to fill the gap in current datasets, ensuring they reflect authentic professional software usage.

• Record screen sessions demonstrating specific tasks, providing clear verbal narration for each step.
• Annotate screenshots of professional software by accurately drawing bounding boxes around relevant UI elements.
• Follow staging instructions to set up specific UI states prior to recording.
• Utilize a custom capture tool for accurate and consistent workflow recordings.
• Adhere closely to task guidelines to ensure data quality and usability.

• Strong familiarity with professional software tools such as MATLAB, Origin, Stata, and EViews.
• Detail-oriented with the ability to follow precise instructions.
• Comfortable working independently and meeting tight deadlines.
• Access to a physical Mac and capability to create a fresh macOS user profile if required.

• Prior experience with data collection, annotation, or quality assurance work.
• Experience in recording or documenting workflows.
• Comfortable working with new tools and staged environments.

• Screen annotations are precise, consistent, and aligned with guidelines.
• Screen recordings accurately capture realistic, expert workflows.
• Tasks are completed efficiently while maintaining high quality.
• Collected data is usable at scale for downstream AI research and development.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.