Hotline: +91 9986267393 | +91 7795561822

Hiring Video / Image Annotation Specialist For Amazon

Job description

HI Warm Greetings,

Location : Chennai / Hyderabad.

If your profile match the role please mail us your cv riveramanpowerservices@gmail.com

  • Video / Image Annotation skills with 6 months to 1.5 years experience , to be based in Chennai and Hyderabad.
  • With Shifts :7 am to 4 pm 5 pm to 2 am (Shift timing and Shift Rotation Frequency are subject to change) Weekly Off: Rotational two- consecutive day off (it is a 5-day working week with 2 consecutive days off.) .
  • NO of Positions 80

 

Key job responsibilities

– Performs annotation for image and video files to support ground truth data generation •

– Understands and follows the SOP, procedures and guidelines to execute daily tasks •

– Performs repetitive annotation activities and adopts to dynamic instructions without compromising on quality •

– Uses internal tools and software provided by team to track daily status completion and queries. •

– May participate in data collection activities when scripts and instructions are provided.

– Adheres to compliance and confidentiality requirements.

– Meets daily productivity and quality targets.

– Suggests improvements to tools, processes, and SOPs.

BASIC QUALIFICATIONS

– A graduate in any field of study. Quantitative fields such as science and engineering preferred but not mandatory

– Excellent English communication and interpersonal skills.

– Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc. are required

– Basic knowledge on ML data labeling process, related tools and software used for ground truth generation.

– Flexibility and Interest to do repetitive tasks is required

– Exceptional attention to detail.

– 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

Preferred Qualification

– Minimum of 6 months -1.5 Years of work experience in data labeling on image/video with multiple classes of objects and attributes.

– Practical knowledge of data processing needs and trade-offs

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