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ML Data Associate-II

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Amazon

Jan 21, 2025

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Hyderabad, +1

Requirements

  • A bachelor's degree in any field of study
  • 0-2 years of work experience with demonstrated task execution ability
  • Ability to effectively research, comprehend and evaluate diverse subject matter across various domains
  • 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
  • A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential
  • Bachelor's or Master’s degree preferred
  • Exposure to US culture, prior experience in Machine learning domain will be an added advantage
  • Willingness to multi-task
  • Excellent computer skills with good typing speed (> 50 wpm and above)
  • Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension at minimum B2 level in the CEFR framework

Responsibilities

  • Maintain and follow strict confidentiality guidelines
  • Work with a wide range of different types of data including but not limited to text, audio, speech, image, and video
  • Deliver high-quality labelled data, utilizing in-house tools, software and guidelines to meet our Key Performance Indicators with a commitment to foster the safe, responsible, and effective development of AI technologies
  • Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating images and videos
  • Demonstrate analytical and critical thinking capabilities while evaluating different forms of data and making decisions
  • Logical decision making while performing tasks that may include ambiguous information
  • Be agile to transition to diverse labelling workflows while paying close attention to details
  • Demonstrate expertise in handling end-to-end data execution process related to labelling the tasks and be less dependent on work instructions
  • Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
  • Highlight process challenges in SOP, tools and suggest changes as required
  • Demonstrate high judgement to balance process adherence and take ownership to analyze and provide resolutions

FAQs

What is the required educational background for the ML Data Associate-II position?

A bachelor's degree in any field of study is required for this position.

Is work experience necessary for this role?

Yes, 0-2 years of work experience with demonstrated task execution ability is preferred.

What types of data will I be working with in this role?

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

Will this position require me to work on-site?

Yes, this is a 100% onsite role.

What skills are necessary for success in this role?

Strong research abilities, analytical and critical thinking skills, proficiency in handling diverse data, and excellent attention to detail are essential for this position.

Do I need to have prior experience in the Machine Learning domain?

While it is not mandatory, prior experience in the Machine Learning domain will be an added advantage.

What is the expected typing speed for candidates applying for this position?

Candidates should have a typing speed of more than 50 words per minute.

What level of language proficiency is required for this role?

Candidates must demonstrate language proficiency in verbal, writing, reading, and comprehension at a minimum B2 level in the CEFR framework.

How does the team contribute to AI development at Amazon?

The team provides data creation, curation, and analytics services to help develop, test, and train AI models, working closely with Machine Learning Science and Modelling teams.

Are there any health benefits offered for employees?

Yes, health benefits will typically be provided as part of the employment package.

What qualities is Amazon looking for in candidates for this position?

Amazon is looking for candidates who have a sense of ownership, adaptability, creativity, and the drive to deliver high-quality results in a fast-paced environment.

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.