Amazon is conducting a walk-in interview in Chennai for the role of ML Data Associate, accepting candidates with 0 to 5 years of experience. This position involves working closely with machine learning teams to label and process data, ensuring high-quality input for AI model training. Itβs a great opportunity for those looking to start or grow their career in AI and machine learning operations within a world-class tech firm.
Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Amazon is Hiring: ML Data Associate | Chennai – Overview
| Company Name: | Amazon |
| Job Role: | ML Data Associate |
| Location: | Chennai |
| Work Mode: | On-site |
| Last Date to Apply: | ASAP |
Job Description:
- Role:Β OtherIndustry
- Type:Β IT Services & Consulting
- Department:Β Other
- Employment Type:Full Time, Temporary/Contractual
- Role Category:Β Other
- AI is the most transformational technology of our time, capable of tackling some of humanitys most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
- 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!
Skills:
- β’ Maintain and follow strict confidentiality as customer privacy is our most important tenet
β’ Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
β’ Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon’s commitment to developing and deploying AI responsibly.
β’ Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
β’ Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
β’ Eye for detail and ability to pivot from one category of requirement to another instantaneously.
β’ Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
