AI Content Expert, Artificial General Intelligence

Generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand Large Language Models\’ (LLMs) capabilities.

Job Description

Key job responsibilities:

• Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content.
• Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines.
• Performing audits and quality checks of tasks completed by other specialists, if required.
• Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
• Diving deep into issues and implementing solutions independently.
• Identifying and reporting tooling bugs and suggesting improvements.

A day in the life

As an AI Content Expert, you will be responsible for creating complex training data that require informed and high judgment decisions. You will work closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and discuss data quality. The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, training, and Amazon events throughout the year await you.

We are an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Our inclusive culture empowers employees 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.

Minimum requirements:

• High-School or equivalent diploma.
• Proven experience working with written language data, including annotation and other forms of data markup.
• Strong proficiency in Dutch and English, demonstrating excellent writing, reading, and comprehension skills (C1 level in CEFR).
• Strong understanding of Dutch and U.S.-based culture, society, and norms.
• Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e., plagiarism.
• Excellent attention to detail and ability to focus for long periods.
• Comfortable with high-school level STEM.
• Ability to effectively write and evaluate diverse subject matter across various domains.
• Ability to adapt writing style to various guidelines and customers.
• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
• Bachelor\’s degree in a relevant field or equivalent professional experience.
• Experience with creating complex data for LLM training and evaluation.
• Proven experience working with command line interfaces and basic UNIX commands.
• Familiarity with common markup languages such as HTML, XML, Markdown.
• Familiarity with common text formats such as JSON, CSV, RTF.
• Working knowledge of Python or another scripting language.
• Familiarity with regular expressions syntax.
• Familiarity with Large Language Models.
• Comfort in annotation work that may include sensitive content.