ML Data Associate–II, Applied AI

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".

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 undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.

Basic Qualifications

• An Associate's Degree or related work experience
• C1+ or equivalent fluency in English language
• 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
• Experience managing stakeholder relationships across departments
• Advanced proficiency in Microsoft Office Suite and common business applications.

Preferred Qualifications

• 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

Compensation & Benefits:

Our compensation structure is designed to remain competitive across different markets. Base pay for this position will vary depending on your skills and experience. In addition to salary, Applause Digital may offer performance incentives, sign-on bonuses, and a comprehensive benefits package that includes medical, financial, and professional development opportunities.

This position will remain open until filled. Interested candidates are encouraged to apply directly via email at with the subjected titled "Applying for
ML Data Associate–II, Applied AI"