ML Data Associate, Artificial General Intelligence
Job Summary
We are looking for those candidates who just dont think out of the box but make the box they are in Bigger. The future is now do you want to be a part of it Then read on!
This is a fixed term contractual role for 12 months.
Key job responsibilities
Maintain and follow strict confidentiality as customer privacy is our most important tenet
Work with a range of different types of data including but not limited to: text speech audio image and video
Deliver high-quality labelled data using guidelines provided to meet our KPIs and using in-house tools and software as part of Amazons commitment to developing and deploying AI responsibly.
Demonstrate proficiency in generating high quality human insight data across a range of modalities inclusive of text image video and audio.
Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
Eye for detail and ability to pivot from one category of requirement to another instantaneously.
Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
Analyze root causes identify error patterns and propose solutions to enhance the quality of labeling tasks and their outputs.
Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure tools and suggest changes to unblock operations
Demonstrate ownership in floor support to clarify internal queries during execution on need basis
A day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions such as dialogue evaluation on speech text audio video data.
Your ability to concentrate multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical useful generative AI innovations. An inner drive individuality and a creative mind are extremely beneficial.
- Bachelors degree or above
- Speak write and read fluently in Hindi
- Work rotating shift schedules and variable days off
- Experience in natural language data labeling data annotation linguistic annotation or other forms of data markup or experience in MS Office including Excel
- 2 years of professional work experience
- Experience working in a fast paced quickly changing or international environment
- Knowledge of Microsoft Office products and applications
- Speak write and read fluently in English at B2 level or above
- Experience in stakeholder management dealing with multiple stakeholders at varied levels of the organization
- Proven capacity to leverage open-source resources effectively for comprehensive research purposes
- 1 years project coordination or management experience
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
About Company
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