Amazon is hiirng for Digital associate
The job you are looking for is no longer available..- Company Name
- Amazon
- Company Website
- http://amazon.com/
- Job Role
- Digital associate
- Job Type
-
- Experienced
- Fresher
- Job Location
-
- Hyderabad
- Education
-
- Graduate
- Branch
-
- Aerospace Engineer
- Electromechanics Engineering
- Thermal Engineering
- MBA
- Industrial Engineer
- Automobile Engineering
- Electrical and Electronics Engineering
- Production Engineering
- Mechatronics
- Chemical
- Mining
- Civil
- Metallurgy
- Electronics and Communication Engineering
- Automation / Instrumentation
- Electrical Engineering
- Electronics and Telecommunication
- IT
- CS
- Mechanical Engineering
- Job will expire on
- 23 Apr 2024
Eligibility Criteria
- Good familiarity with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc. are required
- Flexibility and Interest to do repetitive tasks is required.
- 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
- Attention to detail and ability to identify and rectify errors or inconsistencies in descriptions generated.
- Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
- Passion for language, technology, and AI advancements.
- Ability to meet deadlines, prioritize tasks, and manage multiple projects simultaneously.
Job Description
- Performs simple annotation-related tasks in a narrow ML data process area (e.g. audio, image, and/or video-file). Uses internal tools and software provided by team.
- May participate in data collection activities when scripts and instructions are provided. Adheres to compliance and confidentiality requirements.
- Apply strong language skills, grammar knowledge, and linguistic rules to ensure the generated text adheres to proper grammar, syntax, and appropriate language usage.
- Maintaining high internal quality of the processes by performing quality audits/verification.
- Meets daily productivity and quality targets. Tracks queries related to annotation/data collection and share them with the relevant stakeholders to help solve them.
- Track daily task completion status using recommended tools and provide individual status reports.
- Adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon. Helps test new SOPs and ML data tools.
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