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Fuzu Atlas
Computers + 1 more
Description
About Fuzu
Fuzu Global Workforce is a service line of Fuzu where we deliver global outstaffing 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.
Overview:
We are seeking highly skilled individuals with a strong background in camera movement, camera direction, camera positions. The ideal candidates will have a passion for filming and the ability to apply these concepts to identify camera details in a video.
This is a full time role and to qualify, you need to have:
A working laptop of Core i7 and above
- A WIFI connection of a minimum of 15 mbps
Our Recruitment Process
Screening and Shortlisting – Our recruitment team reviews applications to shortlist candidates who meet the basic qualifications.
Skill Test – Shortlisted candidates to evaluate your experience further
Interview – Successful candidates from the skill test will be invited for an interview with the hiring manager and potentially other team members.
Background Check – Final candidates will undergo a background check before being onboarded.
1. Data Annotation and Labeling: Manually annotate and label data in videos accurately based on specific criteria and guidelines
2.Video Evaluation: Evaluating video content on different parameters like camera movement, camera direction, camera positions etc
3.Content creation - To create accurate video descriptions, include:
Camera Movements: Describe pans, tilts, and zooms.
Camera Direction: Note the angle and viewpoint (e.g., overhead, side view).
Camera Position: Specify where the camera is relative to the action.
Action Details: Outline what is happening in the scene, including key movements and interactions.
Key Visuals: Mention significant objects or people.
Ensure the text clearly conveys the scene’s progression and key elements.
4. Quality Assurance: Perform quality checks on annotated data to ensure high accuracy and consistency.
5.Collaboration: Work closely with AI researchers and developers to understand data requirements and adjust labeling tasks as needed.
6.Tool Proficiency: Utilize annotation tools and software efficiently, following best practices for data handling and labeling.
7. Language Proficiency: Very good with Written English language
8. Documentation: Keep detailed records of annotation guidelines, methodologies, and any issues encountered.
9. Continuous Learning: Stay informed about new tools, technologies, and techniques in data annotation to improve skills and efficiency.
Qualifications:
● Education
Film background + Work Experience: any courses related to videography
3+ experience. Awareness of these tools -
■ Kinemaster
■ Imovie
■ adobe premier pro
- gopro/insta360/ interchangeable lens cameras/ gimbals
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