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ML Data Associate-II, Artificial General Intelligence

Amazon

Boston (MA)

On-site

USD 60,000 - 95,000

Full time

12 days ago

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Job summary

An innovative company is seeking an ML Data Associate-II to contribute to the future of human-technology interaction. In this role, you will work with diverse data types, ensuring high-quality labeling while adhering to strict confidentiality guidelines. You will analyze data workflows, identify operational issues, and propose solutions to streamline processes. This position requires strong communication skills and the ability to adapt to fast-paced environments. Join a forward-thinking team dedicated to advancing AI technologies and making a significant impact in the field of machine learning.

Qualifications

  • 2+ years of professional experience with demonstrated task execution ability.
  • Proven capacity to leverage open-source resources effectively for research.

Responsibilities

  • Deliver high-quality labeled data and maintain confidentiality guidelines.
  • Analyze root causes and propose solutions to enhance labeling quality.

Skills

Machine Learning
Data Annotation
Research Skills
Attention to Detail
Communication Skills
Problem Solving

Education

Associate’s Degree
Bachelor’s Degree
Master’s Degree

Tools

MS Office Suite

Job description

Join to apply for the ML Data Associate-II, Artificial General Intelligence role at Amazon

Description

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us!

Key job responsibilities

  1. Maintain and follow strict confidentiality guidelines as customer privacy is our top priority
  2. Work with a wide range of different types of data including but not limited to text, speech, image, and video
  3. Deliver high-quality labelled data, utilizing in-house tools, software, and guidelines to meet our Key Performance Indicators
  4. Serve as a subject matter expert for Machine Learning (ML) data workflows.
  5. Demonstrate proficiency in research, ranking responses based on factual and grammatical accuracy, and creating grammatically correct text, speech, image, and video annotation
  6. Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
  7. Rapidly switch from one category of work to another all while maintaining attention to detail
  8. Demonstrate expertise in handling end-to-end data execution processes related to LLM labelling tasks
  9. Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs
  10. Identify and escalate operational issues within day-to-day process, standard operating procedures and tools.
  11. Suggest ways to invent and simplify and/or unblock operational workflows

Basic Qualifications

  • An Associate’s Degree or related work experience
  • 2+ years of professional work experience with demonstrated task execution ability
  • Excellent written and verbal communication of the English Language
  • Excellent computer skills, including MS Office Suite, with good typing speed (> 50 wpm and above)
  • 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, as well as a willingness to accept the challenge of daily deadlines
  • This role requires candidates to be onsite full time

Preferred Qualifications

  • Bachelor’s or Master’s degree preferred
  • Exposure to US culture
  • Ability to multi-task and work across multiple teams
  • Prior experience in machine learning

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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