Researcher Associate, Artificial General Intelligence

Amazon; Boston (MA); On-site; USD 60,000 - 100,000; Full time

Job summary

An innovative industry leader is seeking a Researcher Associate in Artificial General Intelligence. This role offers an exciting opportunity to work with cutting-edge AI technologies, contributing to the development of large language models. You'll engage in diverse data types, ensuring high-quality outputs while adhering to strict confidentiality. The ideal candidate thrives in a fast-paced environment, possesses strong communication skills, and has a passion for machine learning. Join a dynamic team focused on advancing human-technology interaction and making a real impact in the AI landscape. If you're ready to take on this challenge, we want to hear from you!

Qualifications

• 2+ years of professional experience with task execution ability.
• Excellent written and verbal English communication skills.

Responsibilities

• Deliver high-quality labeled data using in-house tools and guidelines.
• Analyze root causes and propose solutions to improve labeling quality.

Skills

Machine Learning

Data Analysis

Communication Skills

Adaptability

Attention to Detail

Education

Associate’s Degree

Bachelor’s Degree

Master’s Degree

Tools

MS Office Suite

Job description

Researcher Associate, Artificial General Intelligence

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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 think outside the box and 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 data types including text, speech, image, and video.
• Deliver high-quality labeled data using in-house tools, software, and guidelines to meet KPIs.
• Serve as a subject matter expert for Machine Learning (ML) data workflows.
• Research, rank responses based on factual and grammatical accuracy, and create grammatically correct annotations for text, speech, image, and video.
• Make sound judgments and logical decisions with ambiguous or incomplete information.
• Switch rapidly between different tasks while maintaining attention to detail.
• Handle end-to-end data execution processes related to LLM labeling tasks.
• Analyze root causes, identify error patterns, and propose solutions to improve labeling quality.
• Identify and escalate operational issues within processes, SOPs, and tools.
• Suggest ways to invent, simplify, and unblock operational workflows.

A day in the life

You will assess and improve AI model performance by undertaking foundational labeling functions such as dialogue evaluation on speech, text, audio, and video data. Your concentration, multi-tasking ability, and attention to detail will help you deliver high-quality work while maintaining confidentiality and following Amazon policies. You will be part of a diverse team aiming to make significant advances in AI and technology. Creativity, individuality, and drive are highly valued.

Basic Qualifications

• An Associate’s Degree or related work experience.
• 2+ years of professional experience with demonstrated task execution ability.
• Excellent written and verbal English communication skills.
• Proficiency in MS Office Suite and a typing speed of >50 wpm.
• Ability to leverage open-source resources for research.
• Adaptability to fast-paced environments with changing circumstances.
• A sense of ownership, drive, and willingness to meet 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.