Logo of Huzzle

Home

Matches

Explore

Manage

ML Data Associate-II, Artificial General Intelligence - Data services

image

Amazon

12d ago

  • Job
    Full-time
    Entry & Junior Level
  • Data
    Research & Development
  • Chennai

AI generated summary

  • You need a bachelor's degree, 0-2 years of experience, research skills, adaptability, ownership, strong computer skills, B2 language proficiency, and flexibility for an onsite role.
  • You will label diverse data types, ensure accuracy, analyze processes, solve errors, maintain confidentiality, and adapt to workflows while improving quality and efficiency.

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
  • - This will be 100% onsite role which may require flexibility in work schedule
  • - 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 job title for this position?

The job title is ML Data Associate-II, Artificial General Intelligence - Data services.

What educational qualifications are required for this position?

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

How much work experience is required for this role?

0-2 years of work experience with demonstrated task execution ability is required.

Is this role onsite or remote?

This is a 100% onsite role.

Is there flexibility in the work schedule?

Yes, flexibility in the work schedule may be required for this role.

What types of data will I work with in this position?

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

What are the key responsibilities of an ML Data Associate?

Key responsibilities include maintaining confidentiality, delivering high-quality labeled data, serving as a subject matter expert for ML data workflows, demonstrating analytical capabilities, and contributing to root cause analysis.

What skills are necessary for this role?

Skills necessary for this role include research capabilities, critical thinking, logical decision-making, attention to detail, and the ability to adapt to diverse labeling workflows.

Is prior experience in machine learning beneficial for this position?

Yes, prior experience in the machine learning domain will be an added advantage.

What language proficiency is required for this job?

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

Do I need to have experience with open-source resources?

Yes, proven capacity to leverage open-source resources effectively for comprehensive research purposes is a requirement for this role.

What is the focus of the team I will be working with?

You will work with a team that provides data creation, curation, and analytics services to develop, test, and train AI models, closely collaborating with ML Science and Modelling teams.

Do I need to demonstrate strong typing skills?

Yes, excellent computer skills with a good typing speed of over 50 words per minute are required.

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.