Amazon Web Services (AWS) is looking for a data associate to help with annotations, data analysis and quality assurance. As part of the Ai Data Team at AWS you will responsible for delivering high-quality training data to ensure the best performance of the AWS machine learning systems.
This role will be responsible to lead training and provide continuous feedback for a vendor team.


Key job responsibilities
* Conduct regular training sessions, monitor performance, provide feedback, and analyze calibration tests results to identify trends, gaps in knowledge, and areas of improvement of the BDB Team.
* Build a thorough understanding of data collection and annotation guidelines and various annotation tools.
* Annotate, generate and QA 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 Linguists 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.
* Collaborate with LEs, scientists, and Ops Manager to innovate processes, tracker automations, and workflows.