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ML Data Associate-II

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Amazon

8d ago

  • Job
    Full-time
    Junior Level
  • Data
    Research & Development
  • Hyderabad, +1

AI generated summary

  • You need an Associate's Degree or relevant experience, C1+ English fluency, strong writing skills, 2+ years’ work experience, project management experience, and proficiency in Microsoft Office.
  • You will label diverse data types, maintain confidentiality, ensure quality, analyze errors, propose process improvements, and support team operations by addressing internal queries as needed.

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
  • 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
  • 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 required educational qualification for the ML Data Associate-II position?

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

What language proficiency is needed for this role?

Candidates must have C1+ or equivalent fluency in the English language.

What type of writing skills are necessary for this job?

Strong business writing skills are needed, including the ability to create reports, proposals, and professional correspondence.

What types of data will I be working with?

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

How does Amazon ensure customer privacy in this role?

You are required to maintain and follow strict confidentiality as customer privacy is considered a top priority.

What experience is preferred for applicants?

Applicants should have 2+ years of professional work experience with demonstrated task execution ability.

Is previous project coordination or management experience necessary?

Yes, at least 1+ years of project coordination or management experience is preferred.

What kind of analytical skills are required?

Developed analytical thinking and structured problem-solving capabilities are necessary for this role.

What kind of tools and software will I be using?

You will use in-house tools and software to deliver high-quality labelled data as part of Amazon's AI initiatives.

How important is attention to detail in this job?

Proven attention to detail is crucial for managing complex tasks and documents effectively.

Will I be working in a team environment?

Yes, you will be part of a diverse team with a shared vision of improving customers' lives through generative AI innovations.

What kind of problem-solving abilities are necessary for this role?

You should be capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information.

What should I do if I need workplace accommodations?

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, you can visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Are there opportunities for career advancement in this role?

Yes, there are opportunities for growth and advancement as you gain experience and develop your skills in a fast-paced environment.

What software proficiency is expected from candidates?

Advanced proficiency in Microsoft Office Suite and common business applications is expected.

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Amazon

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.