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).
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.
For the first project, you will review the boundaries of action segments within egocentric videos.
Dataset
Responsibilities
Additional egocentric-data projects will follow during the 2-week engagement. Detailed instructions will be provided at the start of each project.
You may be a strong fit if you:
Prior experience with video annotation, data labeling, computer vision datasets, or egocentric video is helpful but not required.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.
To learn more about Mercor visit their website
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