Amazon ML Data Associate II AWS Bedrock 

India, Karnataka, Bengaluru 

469072041

Key job 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; you participate in data generation, collection and quality assurance tasks
* 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 plan to improve data quality.
* Provide feedback to Language Engineers and Scientists on tool improvements and annotation processes.
* Diving 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 (MLDL), Language Engineers (LEs) and Team Managers (TMs) to innovate processes, tracker automations, and workflows.
* Assist LEs in communication with ML Data associates (MLDA) to provide detailed feedback to the annotators.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates 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.Mentorship & Career Growth
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.Work/Life Balance

* 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.

* 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.