Quality Check Reviewers

About Careerflow.ai Human Data Labs Careerflow.ai Human Data Labs is the data operations arm of Careerflow.ai , an AI-powered platform that helps people manage their job search with tools for resume optimization, application tracking, LinkedIn enhancement, and career coaching. Human Data Labs partners with AI and robotics companies to deliver high-quality, human-generated training data, creating part-time and contract opportunities for our community.

Role Overview Careerflow.ai Human Data Labs is hiring Quality Check Reviewers to support robotics and embodied AI data collection projects. In this role, reviewers will evaluate first-person household task videos recorded by remote contributors, checking that each submission meets project quality standards before it is accepted into the training dataset.

This is an onsite contract opportunity for reliable, detail-oriented reviewers who can apply strict quality guidelines consistently, work efficiently through a steady queue of submissions, and give clear, actionable feedback. What You’ll Do Review first-person video recordings of household tasks such as cleaning, folding laundry, organizing items, and food preparation.

Check each submission against detailed quality protocols covering framing, camera stability, lighting, hand-object visibility, task completeness, file naming, and submission requirements. Approve, reject, or flag recordings for rework, and document the reason for each decision clearly and accurately. Write concise feedback that helps contributors fix recurring issues and improve future submissions.

Track review outcomes and report recurring quality problems, unclear guidelines, or tooling issues to the project lead. Meet daily and weekly review targets while maintaining high accuracy. Required Equipment Your own laptop or desktop computer capable of smooth playback of 1080p video. Ability to use your own device onsite at our Davao City location.

Required Qualifications Strong attention to detail and the ability to follow SOPs and quality guidelines precisely. Comfort working with video players, spreadsheets, web-based review tools, and cloud storage platforms. Consistent judgment across a high volume of repetitive review tasks. Clear written English for logging decisions and giving contributor feedback.

Reliable attendance and punctuality for onsite shifts in Davao City.

Preferred Qualifications

Prior experience in data annotation, content moderation, QA, or video review. Familiarity with AI training data, robotics, or embodied AI projects. Experience working against defined productivity and accuracy targets. Success in This Role Strong reviewers make fast, accurate, and consistent decisions that keep low-quality data out of the dataset and help contributors improve over time.

Their work ensures robotics systems are trained on clean, reliable real-world footage of how people interact with objects in their homes.