Amazon Recruitment Drive; Hiring Data Associate – Apply Now

Amazon looking for a Data Associate (DA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech & text data, to assess and improve performance in everyday situations. To make a mark, one needs to be an expert, your adaptability, focus, and attention to detail in a dynamic need to be unparalleled. To pride yourself on your ability to recognize issues, not succumb to pressure, but come up with an elegant and innovative solution to tackle any hurdle from the goal while working on multi-data modalities.

Name of the Organization: Amazon

Requisition ID: 2703753

Positions: ML Data Associate I, AWS Bedrock

Location: Bangalore

Salary: As per company Norms

Educational Qualifications:

• Bachelor's degree
• Knowledge of Microsoft Office products and applications
• Speak, write, and read fluently in English

Preferred Qualifications:

• Bachelor's degree in a relevant field, such as Linguistics, Communications, a foreign language, or other language or data-related disciplines, including teaching.
• Experience with natural language data labeling, data annotation, linguistic annotation or other forms of data markup.

Job Description:

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Responsibilities:

• Attention to detail (linguistically and culturally)
• Strong grammar skills
• Critical thinking and analytical skills when it comes to evaluating linguistic data (ask questions)
• Ability to identify potential biases (and be aware of your own biases)
• Sufficient annotator experience to identify when there is a major issue with the task that should be escalated
• Experience in some specific domains, like healthcare, finance, retail, etc
• Having strong writing/communication skills to communicate with stakeholders.
• Quality assurance experience
• Good research and reading comprehension skills.
• Willing to work round in PST timezone.

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