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Computer Vision Annotation Specialist

Salary

₹7 - 10.5 LPA

Min Experience

2 years

Location

remote

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

As a Computer Vision Annotation Specialist, you will be responsible for annotating and labeling a variety of visual data, including images and videos, to support the development of computer vision and machine learning models. Your primary tasks will involve accurately identifying and marking objects, scenes, and other relevant elements within the visual data, ensuring high-quality annotations that can be used to train and improve AI-powered systems. Key Responsibilities: - Precisely annotate and label visual data, such as images and videos, according to project requirements and guidelines - Ensure the accuracy and consistency of annotations by thoroughly reviewing your work - Collaborate with the project team to provide feedback and suggestions for improving the annotation process - Adhere to project deadlines and maintain a high level of productivity - Communicate effectively with the team and proactively address any issues or concerns Requirements: - Strong attention to detail and the ability to consistently produce high-quality annotations - Experience in computer vision, image processing, or a related field is preferred - Familiarity with annotation tools and software, such as LabelBox, Annotell, or Roboflow - Excellent communication and collaboration skills - Ability to work independently and as part of a team - Proficiency in English, both written and verbal

About the company

Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. We partner with technology companies and government agencies to help them build better products and services. Our products and services provide the foundation for innovations in autonomous vehicles, digital assistants, and natural language processing, among other applications.

Skills

computer vision
image processing
annotation
machine learning