What are the responsibilities and job description for the ML Data Associate-II, Artificial General Intelligence position at Amazon Data Services, Inc.?
• 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
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 ML Data Associate (MLDA) 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.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
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 ML Data Associate (MLDA) 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.
- 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
