ML Data Associate-II, Artificial General Intelligence Data Services

Amazon; Chennai District; On-site; INR 600,000 - 700,000; Full time

Job summary

Amazon is seeking a ML Data Associate-II for foundational labeling across dialogue, speech, text, audio, and video data. You will concentrate, multitask, and maintain strict confidentiality while following Amazon policies for securing confidential information.

You will be part of a diverse team delivering high-quality AI data to improve generative models. The role rewards attention to detail, ability to adapt to changing priorities, and collaboration with cross-functional teams to meet KPIs and

Qualifications

• Experience in natural language data labeling.
• Bachelor’s degree in a relevant field (may vary by location).
• 2+ years of professional work experience with task execution ability.
• Ability to adapt in fast-paced environments with changing priorities.

Responsibilities

• Maintain strict confidentiality; handle customer privacy as a top priority.
• Work with data across text, speech, audio, image, and video modalities.
• Deliver high-quality labeled data using guidelines and in-house tools to meet KPIs.
• Identify root causes, error patterns, and propose quality improvements.
• Support daily operational deliverables and clarify internal queries as needed.

Skills

Data labeling

Attention to detail

NLP data labeling

Multitasking

Education

Bachelor’s degree in a relevant field

Job description

ML Data Associate-II, Artificial General Intelligence Data Services

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.

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 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.
• Generate high‑quality human insight data across a range of modalities, inclusive of text, image, video and audio.
• Make sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
• Possess eye for detail and ability to pivot from one category of requirement to another instantaneously.
• Support 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.
• Identify 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 needs 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, and video data. Your ability to concentrate, multi‑task, and high attention to detail helps you deliver high‑quality work as well as maintaining strict confidentiality and following 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

• Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup.

Preferred Qualifications

• Bachelor’s degree in a relevant field (may vary in other locations like India).
• 2+ years of professional work experience with demonstrated task execution ability.
• Proven capacity to leverage open‑source resources effectively for comprehensive research purposes.
• Ability to adapt well to fast‑paced environments with changing circumstances, direction, and strategy.
• 2–3 years project coordination or management experience (for support functions teams).

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.