Role Overview

Mercor is supporting a high-priority data collection initiative aimed at improving how AI systems understand complex software interfaces and real-world, multi-step workflows. Current datasets lack the fidelity and expert grounding needed to reflect authentic professional software usage. This project addresses that gap by collecting high-quality screen annotations and screen recordings performed by experienced domain experts working in real digital environments.

Key Responsibilities

Record screen sessions demonstrating specific tasks, accompanied by clear verbal narration explaining each step
Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements
Follow provided staging instructions to set up specific UI states prior to recording
Use a custom capture tool to record workflows accurately and consistently
Adhere closely to task guidelines to ensure data quality and usability

Ideal Qualifications

You have strong familiarity with professional software tools used in your domain including:
Visual Studio Code
Android Studio
Quartus
VMware
You are detail-oriented and capable of following precise instructions
You are comfortable working independently and meeting tight deadlines
You have access to a physical Mac and can create a fresh macOS user profile if required

Nice-to-Have

Prior experience with data collection, annotation, or QA work
Experience recording or documenting workflows
Comfort working with new tools and staged environments

What Success Looks Like

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

Equal Opportunity Statement

Mercor considers all qualified applicants without regard to legally protected characteristics and provides reasonable accommodations upon request.