ML Data Associate II, AWS Bedrock

7 days ago

Chennai, Tamil Nadu, India ADCI MAA 12 SEZ Full time
About the Role

We are seeking a highly skilled Data Associate II to join our AWS Bedrock team. As a Data Associate II, you will play a critical role in supporting the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS.

Key Responsibilities
  • Build a thorough understanding of data collection and annotation guidelines and various annotation tools.
  • Annotate text data, identifying linguistic categories based on detailed annotation and adhering to guidelines.
  • Perform annotation-related tasks, including data generation, collection, and quality assurance.
  • Collaborate with other ML Data stakeholders to resolve data ambiguities and annotation disagreements.
  • Dive deep into the data to perform qualitative error trend analysis and devise action plans to improve data quality.
  • Provide feedback to Language Engineers and Scientists on tool improvements and annotation processes.
  • Dive deep into issues and implement solutions independently.
  • Contribute to process improvements to reduce handling time and improve resource output.
  • Develop a variety of language artifacts crucial for model development, such as datasets for training and evaluation.
  • Support and consult in pre-screening interviews for Data Associates.
  • Collaborate with ML Data linguists, Language Engineers, and Team Managers to innovate processes, tracker automations, and workflows.
  • Assist Language Engineers in communication with ML Data associates to provide detailed feedback to annotators.
About the Team

AWS values diverse experiences and encourages candidates from all backgrounds to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.

We value work-life harmony and strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

BASIC QUALIFICATIONS
  • Bachelor's degree in a relevant field, such as Linguistics, Communications, or data-related disciplines.
  • At least 6 months of experience with natural language data labeling, data annotation, linguistic annotation, or other forms of data markup, and/or teaching experience.
  • Experience identifying linguistic ambiguity and annotation inaccuracies in data.
PREFERRED QUALIFICATIONS
  • Familiarity with common text processing tools.
  • Passion for language, linguistics, human language technology, and AI.
  • Knowledge of different domains such as Finance, Health Care, and Insurance.

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