Junior ML Data Associate – Artificial General Intelligence
Jobright.ai
Boston,
Massachusetts,
United States
Information Technology
H-1B
Job posted on July 29, 2025
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Job Description:
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Job Summary: Amazon is investing in generative AI and the responsible development and deployment of large language models across all of its businesses. The ML Data Associate will undertake foundational labeling functions, ensuring high-quality work while maintaining customer confidentiality and supporting the team in operational deliverables.
Responsibilities: • Maintain and follow strict confidentiality as customer privacy is our most important tenet • Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video • Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. • Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. • Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. • Eye for detail and ability to pivot from one category of requirement to another instantaneously. • Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team • Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. • Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations • Demonstrate ownership in floor support to clarify internal queries during execution on need basis.
Qualifications:
Required: • An Associate’s Degree or related work experience • C1+ or equivalent fluency in English • Strong business writing skills with ability to create reports, proposals, and professional correspondence • Advanced reading comprehension with ability to analyze complex business documents • Developed analytical thinking and structured problem-solving capabilities • Strong ability to interpret and implement detailed instructions across various projects • Proficient research skills with experience gathering and synthesizing information from multiple sources • Proven attention to detail in managing complex tasks and documents
Preferred: • Bachelor’s degree in a relevant field • 2+ years of professional work experience with demonstrated task execution ability • 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 • Experience managing stakeholder relationships across departments • Advanced proficiency in Microsoft Office Suite and common business applications.
Company: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Public Company. Amazon has a track record of offering H1B sponsorships.
APPLY NOW
Job Summary: Amazon is investing in generative AI and the responsible development and deployment of large language models across all of its businesses. The ML Data Associate will undertake foundational labeling functions, ensuring high-quality work while maintaining customer confidentiality and supporting the team in operational deliverables.
Responsibilities: • Maintain and follow strict confidentiality as customer privacy is our most important tenet • Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video • Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. • Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. • Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. • Eye for detail and ability to pivot from one category of requirement to another instantaneously. • Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team • Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. • Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations • Demonstrate ownership in floor support to clarify internal queries during execution on need basis.
Qualifications:
Required: • An Associate’s Degree or related work experience • C1+ or equivalent fluency in English • Strong business writing skills with ability to create reports, proposals, and professional correspondence • Advanced reading comprehension with ability to analyze complex business documents • Developed analytical thinking and structured problem-solving capabilities • Strong ability to interpret and implement detailed instructions across various projects • Proficient research skills with experience gathering and synthesizing information from multiple sources • Proven attention to detail in managing complex tasks and documents
Preferred: • Bachelor’s degree in a relevant field • 2+ years of professional work experience with demonstrated task execution ability • 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 • Experience managing stakeholder relationships across departments • Advanced proficiency in Microsoft Office Suite and common business applications.
Company: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Public Company. Amazon has a track record of offering H1B sponsorships.