QA Specialist – Ego-centric video project

ABOUT THE COMPANY

Help shape the AI systems being built right now — from wherever you are. Fuzu Atlas connects skilled people around the world with meaningful, paid remote work for leading AI labs and international enterprises. The work matters: human judgment is what makes AI safer, more accurate, and more representative of the languages, cultures, and contexts these systems are meant to serve. Whether you're evaluating model outputs, annotating images and video, working on multilingual data, or applying expert review to high-stakes decisions, your contribution shapes technology that millions will eventually use.
We welcome the full spectrum of talent — from recent graduates to senior researchers, academics, and domain specialists in fields like linguistics, law, medicine, programming, or the social sciences. Engagements are flexible: short pilots, ongoing projects, or long-term programs on a part-time, full-time, or consulting basis, with fair compensation, transparent working conditions and structured validation and certification tracks that grow with your career.
What we ask is straightforward — a laptop, a reliable internet connection, professionalism, and the curiosity to engage carefully with complex work. Fuzu is headquartered in Finland and operates with privacy-first practices grounded in European data protection standards, drawing on a global community of more than 3 million professionals across 40+ countries. Apply now and put your expertise to work on AI the world can trust.

JOB SUMMARY

About FuzuFuzu Atlas is a service line of Fuzu Oy, headquartered in Helsinki, Finland. We deliver global out-staffing services to forward-thinking businesses, connecting them with top-tier talent across data sciences, languages, technology, data annotation, and creative sectors. With strong expertise in global talent and robust support systems, Fuzu ensures seamless remote collaboration, compliance, and scalable delivery. Our fully vetted consultants are managed by Fuzu, providing high-quality work and the flexibility of global remote teams. Join us in reshaping the future of work—where borders no longer limit opportunity or excellence.Role OverviewWe are deploying an elite Quality Assurance team to manage a high-stakes data auditing project for one of our primary clients. This project involves the comprehensive validation of ego-centric videos making sure they are up to the requirements of our client.We need highly independent, detail-obsessed professionals who can catch the smallest data anomalies, enforce strict metadata parameters, and maintain maximum data integrity without constant supervision.Video Data Verification: Audit high-volume video collections against strict content, object, and metadata parameters on a strict Pass/Fail basis with actionable feedback.Root-Cause Analysis: Identify systemic errors or drift in data tagging patterns and flag them before they reach the client-facing pipeline.Async Feedback Loops: Deliver concise, objective, and clear documentation on rejected batches to maintain high-velocity throughput.Execute daily verification targets across assigned image and text batches.Incorporate feedback from the Team Lead immediately into your next batch to optimize personal accuracy metrics.Maintain sharp personal focus over long, repetitive annotation screening sessions.Requirements & Key Competencies (Who You Are)Extreme Attention to Detail: You don't look at data globally; you look at it frame-by-frame and pixel-by-pixel. You spot microscopic lags, vague metadata tagging, and slight rule deviations easily.High Autonomy: You thrive in an asynchronous, remote work environment. You know how to unblock yourself, manage your time, and stay hyper-focused through repetitive data loops.Performance-Driven Metric Focus: You have a proven track record of maintaining high daily throughput without letting your accuracy drops below strict client thresholds (e.g., <2% error rates).Technical Setup: Access to a reliable, high-speed internet connection (minimum 25 Mbps) and a computer capable of loading complex video and image processing tools seamlessly.Experience Required: 2+ years of experience in data annotation quality check or digital asset verification. Strong coachability and a process-oriented mindset are mandatory.

REQUIRED SKILLS

Artificial intelligence (AI), Quality management, Performance monitoring and evaluation, Image classification, Text span highlighting, Multilingual data annotation, Video frame annotation

REQUIRED EDUCATION

Diploma, Associate's degree