Data Annotation Reviewer (AI)

TL;DR

Data Annotation Reviewer (AI): Reviewing and correcting machine-generated annotations for egocentric video datasets with an accent on precision, consistency, and adherence to strict quality guidelines. Focus on verifying action segmentation, hand-pose tracking, and language descriptions to ensure high-quality training data for AI and robotics models.

Location: Must be based in Manila, Philippines

Company

hirify.global is a mission-driven company building an all-in-one HR, payroll, and hiring platform for the hourly workforce.

What you will do

• Review and correct language annotations to ensure descriptions and action labels are accurate and consistent.
• Verify action segmentation and timing to ensure non-overlapping, correctly timed video segments.
• Perform sanity checks on machine-generated hand-pose tracking and motion data.
• Flag privacy issues and content that fails to meet collection or quality standards.
• Maintain alignment with other reviewers through shared calibration sets.
• Meet throughput targets while maintaining high accuracy standards.

Requirements

• Excellent written and reading English comprehension is the most important requirement.
• Sharp attention to detail and stamina for cognitively demanding review work.
• Ability to provide consistent, well-reasoned judgment on ambiguous edge-case segments.
• Reliable high-speed internet and a device capable of smooth video playback.
• Comfort working in a remote, target-driven environment.

Nice to have

• Prior experience in data annotation, labeling, QA, or content review.
• Familiarity with video annotation or labeling tools.
• Exposure to computer vision, robotics, or hand/gesture tracking concepts.

Culture & Benefits

• Opportunity to work with a high-growth series B company backed by top-tier VCs.
• Impactful work directly influencing the quality of AI and robotics training datasets.
• Remote-first environment with structured calibration and performance feedback.
• Commitment to equal employment opportunity and inclusive hiring practices.