AI Content Expert

Amazon; Trento; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading tech company in Trento is seeking an AI Content Expert II to improve its language models. Responsibilities include data annotation across multiple formats, ensuring quality and accuracy, and working within a diverse team. Candidates must have a relevant degree and at least 2 years of related experience. Strong writing and research skills are essential, along with a deep understanding of U.S. culture. This role emphasizes precision and adaptability in a fast-paced environment.

Competenze

• 2+ years of experience with written language data, including annotation.
• Strong understanding of complex topics and academic integrity.
• Experience working with command line interfaces and basic UNIX commands.

Mansioni

• Create and annotate complex training data in multiple modalities.
• Perform audits and quality checks of completed tasks.
• Identify and report tooling bugs and suggest improvements.

Conoscenze

Attention to detail

Research skills

Ability to write across domains

Understanding of U.S.-based culture

Formazione

Bachelor’s degree in a relevant field

Strumenti

Python

HTML

JSON

Descrizione del lavoro

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.

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: 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

Requirements:

• Bachelor’s degree in a relevant field or equivalent professional experience
• 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup
• Strong understanding of 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 details and ability to focus for a long period of time
• Comfortable with high-school level STEM
• Ability to effectively write and evaluate diverse subject matter across various domains
• Ability to adapt writing style to suit various style guidelines and customers
• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

Preferred Qualifications

Preferred Experience:

• Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale)
• Experience with creating complex data for LLM training and evaluation
• 1+ year(s) of experience working with command line interfaces and basic UNIX commands
• Familiarity with common markup languages such as HTML, XML, Markdown
• Familiarity with common standard 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.