Video Data Reviewer - Egocentric - AI Trainer

Mercor; Boston (MA); On-site; USD 28,000 - 44,000; Full time

Job summary

Mercor is seeking 5 detail-oriented generalists to review egocentric video data for short-term projects. You will perform structured quality-review tasks across multiple videos, applying precise guidelines and maintaining consistency in boundary judgments.

The role emphasizes careful visual discernment, adherence to instructions, and strong written English communication. Open to recruits for a 2-week engagement on multiple projects with fast turnaround times.

Qualifications

• Excellent attention to detail and visual comprehension.
• Ability to distinguish closely related actions and moments in video.
• Structured, repetitive review work with high accuracy.
• Ability to learn and consistently apply detailed annotation guidelines.
• Strong written English communication skills.

Responsibilities

• Review egocentric video data and apply project guidelines.
• Determine whether segment start and end boundaries match 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.

Skills

Attention to detail

Visual comprehension

Written English communication

Annotation guidelines following

Video data review

Job description

bout 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