Amazon Is Hiring ML Data Associate I - AWS Bedrock | Click Here To Apply

ML Data Associate I - AWS Bedrock

Job Description:

As part of the AWS Utility Computing (UC) team, this role focuses on supporting product innovations like Amazon S3, EC2, and other AWS services. The role is part of the growing effort to develop AI and Large Language Models (LLMs) for various AWS businesses. The ML Data Associate I will primarily work on data labeling and dialogue evaluation on speech and text data, contributing to improved performance across different modalities.

Amazon Is Hiring ML Data Associate I - AWS Bedrock

Location: Karnataka, India (Bangalore)

Company: Amazon Development Center India (ADCI)
Job ID: 2704202

Key Responsibilities:

  • Conduct data labeling and dialogue evaluation on speech and text data.
  • Identify and address biases, escalate issues as needed.
  • Collaborate with internal teams to communicate effectively with stakeholders.
  • Perform quality assurance on data to maintain high standards.
  • Work in the PST timezone, ensuring adaptability and a focus on detail in a dynamic environment.

About AWS:

  • Diverse Experiences: AWS values candidates from varied backgrounds and non-traditional career paths.
  • Work-Life Balance: AWS supports flexibility to ensure employees thrive both at work and home.
  • Inclusive Culture: AWS fosters a culture of inclusion through employee-led affinity groups and ongoing learning experiences.
  • Mentorship and Career Growth: AWS offers mentorship and continuous learning resources to help employees grow.

Basic Qualifications:

  • Bachelor's degree.
  • Proficiency in Microsoft Office products.
  • Fluency in English (speaking, writing, and reading).

Preferred Qualifications:

  • Bachelor’s degree in Linguistics, Communications, a foreign language, or data-related disciplines.
  • Experience with natural language data labeling, data annotation, or linguistic annotation.

Application Procedure:

[Click Here To Apply]
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This role is ideal for candidates passionate about AI, language technologies, and machine learning who want to contribute to the future of cloud computing with AWS. With its emphasis on work-life balance, mentorship, and a strong culture of inclusion, this position offers a unique opportunity to grow in a dynamic and innovative environment.

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