ML Data Associate, Artificial General Intelligence

Amazon; Hyderabad; On-site; INR 300,000 - 420,000; Full time

Job summary

Amazon in Hyderabad seeks a ML Data Associate (MLDA) to perform foundational labeling on dialogue evaluation across speech, text, audio, and video data. The role emphasizes data privacy, attention to detail, and using in-house tools to meet KPIs.

This is a fixed-term 12-month contract with potential for future opportunities. The ideal candidate holds a Bachelor's degree, is fluent in Hindi and English, and has experience in language data labeling or MS Office.

Qualifications

• Bachelor's degree or above.
• Fluent in Hindi.
• Fluent in English.
• Willing to work rotating shifts.
• Experience in natural language data labeling or data annotation.
• MS Office including Excel experience.

Responsibilities

• Maintain confidentiality of customer data.
• Label data across text, speech, audio, image, and video.
• Meet KPIs using in-house tools and guidelines.
• Generate high-quality human insight data across modalities.
• Identify root causes and propose quality improvements.

Skills

Hindi fluency

English fluency

Data labeling

MS Office (Excel)

Attention to detail

Education

Bachelor's degree or above

Tools

MS Office

Job description

Description

AI is the most transformational technology of our time, capable of tackling some of humanity’s 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 don't 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 Amazon's 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.

Basic Qualifications

• Bachelor's degree or above


• Speak, write, and read fluently in Hindi


• Speak, write, and read fluently in English


• 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

Preferred Qualifications

• 2+ years of professional work experience


• Experience working in a fast paced, quickly changing or international environment


• Knowledge of Microsoft Office products and applications


• Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization


• Experience building and utilizing a variety of sourcing plans and tools, including proactive phone and internet research


• 1+ years of project 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company - ADCI HYD 16 SEZ - H83