Data Annotator (Computer Vision)

IF YOU HAD APPLIED, BEEN SHORTLISTED, TESTED, INTERVIEWED, OR GONE THROUGH ANY OTHER RECRUITMENT PROCESS FOR THIS ROLE OR ANY OTHER ANNOTATOR ROLE UNDER FUZU REMOTE,KINDLY DO NOT REAPPLY

Location: Remote

About Fuzu
Fuzu is leading the transformation of how we live and work through artificial intelligence. We work closely with top professionals and leading companies to push the limits of AI and build the future. By joining Fuzu, you'll be part of a company that values growth, innovation, and opportunity.

Job Summary
We are seeking detail-oriented Computer Vision Data Annotators to join our growing team. In this role, you will work directly with our clients and platform partners to label and annotate data, which is crucial for training our machine learning models. You will primarily work on computer vision tasks, including annotating images and videos. Your work will play a key role in helping develop high-performing AI models.

Our recruitment process is as below:

1. Screening and Shortlisting - Our recruitment team reviews applications to shortlist candidates who meet the basic qualifications.
   

2. Skill Test - Shortlisted candidates will be required to complete relevant skill assessments.
   

3. Interview - Successful candidates from the skill test will be invited for an interview with the hiring manager and possibly other team members.
   

4. Background Check - Final candidates will undergo a background check before being onboarded
   

• Accurately label and annotate images and videos following established guidelines.
  

• Use annotation tools and software platforms to efficiently produce high-quality data.
  

• Ensure annotation quality across large datasets with minimal supervision.
  

• Communicate effectively with project managers or data scientists to address any questions or ambiguities.
  

• Adapt to changing guidelines and incorporate feedback to improve annotations.
  

What you need to have:

• Experience using annotation tools such as Labelbox, CVAT, or SuperAnnotate etc.
  

• Ability to create high-quality labeled datasets for computer vision tasks.
  

• Understanding of computer vision concepts, including object detection and segmentation.
  

• Willingness to learn and adapt to advanced annotation techniques
  

What We’re Looking For

• Attention to Detail: Strong attention to detail to ensure accurate labelling.
  

• Tech Skills: Comfortable using various SaaS tools and annotation platforms.
  

• Team Player: Strong collaboration and communication skills within a team.
  

• Reliable and Adaptable: Able to meet deadlines and adjust as guidelines change.
  

• Experience with annotating 2D/3D data is a plus but not required.
  

Why Join Us?

• Career Growth: We prioritize your career growth and learning. Our culture encourages internal mobility and offers opportunities to acquire new skills.
  

• AI Industry Exposure: Working at Fuzu provides direct exposure to the AI industry and the chance to work alongside professionals shaping the future.
  

• Collaborative Environment: We value teamwork. You will be part of a supportive community that values feedback and continuous improvement.
  

Your Career Path at Fuzu

At Fuzu, we are deeply invested in your professional growth. Data annotation is just the beginning of your journey with us—many of our annotators progress into advanced roles, such as project management, data science, or specialized AI-related positions like AI training specialists, quality assurance analysts, or machine learning engineers. We provide a structured career development pathway, including mentorship, training programs, and skill-building workshops, to help you advance based on your interests and strengths. Whether you aspire to lead projects, delve into data science, or specialize in AI technologies, we support you every step of the way.