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

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Amazon

3d 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, strong research skills, adaptability, ownership, and B2 language proficiency. Excellent computer skills and flexibility are essential.
  • You will label diverse data types, ensure quality and accuracy, analyze processes, contribute to solutions for challenges, and maintain confidentiality while adhering to performance standards.

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 a 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

Is this position remote or onsite?

This role is 100% onsite, which may require flexibility in the work schedule.

What is the minimum educational requirement for this position?

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

How much work experience is necessary for this role?

Candidates with 0-2 years of work experience are encouraged to apply.

What skills are important for success in this role?

Important skills include effective research abilities, analytical and critical thinking, proficiency in handling diverse data types, and a strong sense of ownership.

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

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

Are there any specific language proficiency requirements?

Yes, candidates must demonstrate verbal, written, reading, and comprehension language proficiency at a minimum B2 level in the CEFR framework.

Will there be opportunities to contribute to process improvements?

Yes, you will have the opportunity to highlight process challenges and suggest changes for improvement.

What is the primary focus of the ML Data Associate role?

The primary focus is on foundational labeling functions to assess and improve AI model performance across different data types.

Is prior experience in the machine learning domain advantageous?

Yes, prior experience in the machine learning domain is considered an added advantage for this role.

What is the typing speed requirement for this position?

Candidates should have a typing speed of over 50 words per minute (wpm).

How does the team collaborate with other departments?

The team works closely with Machine Learning Science and Modelling teams to provide critical data for improving AI capabilities.

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.