Software Expert (Creative Software) (Train AI Models Part Time!)
Hackajob
Software Engineering, Data Science
United States
Posted on Mar 21, 2026
hackajob is collaborating with Mercor to connect them with exceptional professionals for this role.
- Location:** Remote **(must have access to a physical Mac)** **Fluent Language Skills Required:** English **Why This Role Exists** 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. **What You’ll Do** Depending on the task phase, you may be asked to complete one or both of the following: - 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 **Who You Are** - You have strong familiarity with professional software tools used in your domain including: - Photoshop - Premiere - Adobe Illustrator - Blender - FruitLoops Studio - Unreal Engine - DaVinci Resolve - 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 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
