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ML Data Associate-II

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Amazon

14d ago

  • Job
    Full-time
    Junior Level
  • Data
    Business, Operations & Strategy
  • Chennai

AI generated summary

  • You need an Associate’s Degree, C1+ English fluency, 2+ years of experience, strong writing and analytical skills, and proficiency in Microsoft Office. Project coordination experience is a plus.
  • You will label diverse data types, ensure quality, analyze errors, improve processes, support team operations, maintain confidentiality, and make informed decisions in ambiguous situations.

Requirements

  • An Associate’s Degree or related work experience
  • C1+ or equivalent fluency in English language
  • Strong business writing skills with ability to create reports, proposals, and professional correspondence
  • Advanced reading comprehension with ability to analyze complex business documents
  • Developed analytical thinking and structured problem-solving capabilities
  • Strong ability to interpret and implement detailed instructions across various projects
  • Proficient research skills with experience gathering and synthesizing information from multiple sources
  • Proven attention to detail in managing complex tasks and documents
  • Experience managing stakeholder relationships across departments
  • Advanced proficiency in Microsoft Office Suite and common business applications.
  • 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
  • 1+ years project coordination or management experience (for support functions teams)
  • Experience managing stakeholder relationships across departments
  • Advanced proficiency in Microsoft Office Suite and common business applications.

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

FAQs

What is the minimum education requirement for the ML Data Associate-II position?

An Associate’s Degree or related work experience is required for the ML Data Associate-II position.

Is fluency in English required for this role?

Yes, a C1+ or equivalent fluency in the English language is required.

What skills are required for business writing and analysis in this position?

Strong business writing skills, advanced reading comprehension, and the ability to analyze complex business documents are essential for this role.

How important is attention to detail for this job?

Proven attention to detail is crucial as the role involves managing complex tasks and documents.

What types of data will I be working with as an ML Data Associate-II?

You will work with various types of data including text, speech, audio, image, and video.

What is meant by 'high-quality labelled data' in this context?

High-quality labelled data refers to data that has been accurately categorized or tagged according to established guidelines, which is essential for training AI models.

Will I need to work with other departments?

Yes, experience managing stakeholder relationships across departments is part of the job requirements.

What office applications should I be proficient in for this role?

Advanced proficiency in Microsoft Office Suite and common business applications is required for this position.

Is there a requirement for confidentiality in this role?

Yes, maintaining strict confidentiality is a critical aspect of the job as customer privacy is of utmost importance.

How many years of professional work experience do I need to apply?

A minimum of 2+ years of professional work experience is preferred, with demonstrated task execution ability.

Will I be required to handle ambiguous or incomplete information?

Yes, the role requires making sound judgments and logical decisions when faced with ambiguous or incomplete information.

Is prior project coordination or management experience necessary?

While not mandatory, 1+ years of project coordination or management experience is preferred for support functions teams.

Can I expect a diverse team working on improving customer lives with AI innovations?

Yes, you will be part of a diverse team that aims to improve customers’ lives with practical, useful generative AI innovations.

What characteristics would benefit someone in this position?

An inner drive, individuality, creativity, and the ability to concentrate and multi-task will benefit someone in this role.

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.