1)Performs annotation for image and video files to support ground truth data generation
2)Understands and follows the SOP, procedures and guidelines to execute daily tasks
3)Performs repetitive annotation activities and adopts to dynamic instructions without compromising on quality
4)Uses internal tools and software provided by team to track daily status completion and queries.
5)May participate in data collection activities when scripts and instructions are provided.
6)Adheres to compliance and confidentiality requirements.
7)Meets daily productivity and quality targets.
8)Suggests improvements to tools, processes, and SOPs.
Performs annotation for image and video files to support ground truth data generation
Job Responsibilities:
1)Understands and follows the SOP, procedures and guidelines to execute daily tasks
2)Performs repetitive annotation activities and adopts to dynamic instructions without compromising on quality
3)Uses internal tools and software provided by team to track daily status completion and queries.
4)May participate in data collection activities when scripts and instructions are provided.
5)Adheres to compliance and confidentiality requirements.
6)Meets daily productivity and quality targets.
7)Suggests improvements to tools, processes, and SOPs.
Skills Required:
1)Excellent English communication and interpersonal skills.
2)Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc. are required
3)Basic knowledge on ML data labeling process, related tools and software used for ground truth generation.
4)Flexibility and Interest to do repetitive tasks is required
5)Exceptional attention to detail.
6)High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential
7)Minimum of 6 months of work experience in data labeling on image/video with multiple classes of objects and attributes.
8)Practical knowledge of data processing needs and trade-offs
Eligibility Criteria:
1)Any Graduate Can Apply.
2)Year of Passing: 2016 to 2023
Location: Hyderabad
Apply Link: Click Here
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