Annotation Quality Analyst
2 days ago
Immediate Joiners Preferred
Job Opening: QA Annotation (Image Annotation Executive)
Location: Bangalore (Work from Office 5 Days a Week)
Experience: Freshers & Experienced Candidates Welcome
Salary: 3.75 LPA (Fixed Non-Negotiable)
Working Days: Monday to Friday (Full-time, On-site)
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About the Role:
We are seeking enthusiastic and detail-oriented individuals to join our growing team as Image Annotation Executives.
In this role, you will contribute to the development of cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) technologies by accurately labeling and categorizing image data. Your work will directly support model training and help improve AI-based systems used in various industries such as autonomous vehicles, healthcare, e-commerce, and more.
Key Responsibilities:
Accurately label, classify, and annotate images according to defined project guidelines.
Use annotation tools and software to tag objects, shapes, and regions within images.
Maintain high levels of accuracy and consistency throughout the annotation process.
Conduct basic quality checks and ensure all annotated data meets the projects standards.
Understand project specifications and communicate effectively with team leads for clarifications.
Meet daily/weekly productivity and quality targets.
Support continuous process improvement through feedback and collaboration.
Required Skills & Qualifications:
Bachelor's degree in any discipline (BCA, B.Sc, BE/B.Tech, or equivalent preferred).
Basic understanding of image annotation tools and computer vision concepts.
Good analytical and observational skills with strong attention to detail.
Familiarity with AI/ML data labeling workflows is an added advantage.
Basic computer literacy and proficiency in using MS Office and web-based tools.
Ability to work independently as well as in a team-oriented environment.
Strong communication and time-management skills.
Why Join Us?
Excellent opportunity for freshers to start their career in the AI & Data Annotation field.
Exposure to real-world AI/ML projects and hands-on experience with annotation tools.
Work in a collaborative environment with training and growth opportunities.
Stable full-time position with a fixed salary and 5-day work week.
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