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Home›Jobs›Amazon›Associate Researcher, Artificial General Intelligence
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

Associate Researcher, Artificial General Intelligence

Amazon • Boston, Massachusetts, USA

Posted 9 months ago🏛️ On-SiteEntry-LevelAi research engineer📍 Boston
Apply Now →

Job 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!

We are looking for candidates who just don’t think outside the box, but make the box bigger.
The future is now. Do you want to be a part of it? Then read on!


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


A day in the life
We are looking for a talented individuals to assess and improve our AI model’s performance in everyday situations by undertaking foundational labeling functions, such as dialogue evaluation on speech, text, audio, and video data. Your ability to concentrate, multi-task, and sustain a strong attention to detail allow you to deliver high-quality work as well as maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use AI. An inner drive, individuality, and a creative mind are extremely beneficial.• 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
• 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

Pay Rate: $23.90

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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