LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)
$100 - $120 / hour
Verified Mercor opportunity
About the Role — We are looking for 5 detail-oriented generalists to support a series of short-term projects involving egocentric (first-person) video data. The engagement will run for approximately 2 weeks, covering 3 projects, with each individual project expected to last between 3 days and 1 week. The first project is expected to begin Monday morning 17th August (PST). — What You’ll Do — You will review egocentric video data and complete structured quality-review tasks according to project-specific guidelines. The work requires strong attention to detail, consistency, and the ability to make precise judgments about actions occurring in first-person video. — Project 1: Action Segment Boundary Review — For the first project, you will review the boundaries of action segments within egocentric videos. — Dataset • 50 egocentric videos • Approximately 1–2 minutes per video • Approximately 38 action segments per video on average • Estimated review time: ~30 minutes per video — Responsibilities • Review action segments identified within each video • Determine whether segment start and end boundaries accurately correspond to the action being performed • Adjust or flag incorrect boundaries according to provided guidelines • Maintain consistent judgment across a high volume of short action segments • Complete assigned videos within the project timeline — Additional egocentric-data projects will follow during the 2-week engagement. Detailed instructions will be provided at the start of each project. — Who We’re Looking For — You may be a strong fit if you: • Have excellent attention to detail and visual comprehension • Can carefully distinguish between closely related actions and moments in video • Are comfortable performing structured, repetitive review work while maintaining accuracy • Can quickly learn and consistently apply detailed annotation guidelines • Have strong written English communication skills — Prior experience with video annotation, data labeling, computer vision datasets, or egocentric video is helpful but not required. — Engagement Details • Openings: 5 • Duration: Approximately 2 weeks • Projects: 3 short-term projects • Individual project duration: Approximately 3 days to 1 week • First project start: Monday morning PST