AI Content Expert

Amazon; Asti; In loco; EUR 35.000 - 55.000; Tempo pieno

Descrizione del lavoro

A leading e-commerce company is looking for an AI Content Expert II in Piemonte, Italy. The role involves creating and annotating training data while ensuring quality and compliance with guidelines. Candidates should have a relevant degree and experience with language data. This position offers an opportunity to work within a diverse team focused on innovative AI solutions and requires attention to detail and the ability to adapt to fast-paced environments.

Competenze

• 2+ years of experience with written language data, including annotation.
• Ability to evaluate diverse subject matter across various domains.
• Strong proficiency in English (C1 level in the CEFR).

Mansioni

• Create and annotate high-quality complex training data.
• Perform audits and quality checks of tasks completed by others.
• Identify and report tooling bugs and suggest improvements.

Conoscenze

Research skills

Attention to detail

Writing proficiency

Adaptability in writing style

Formazione

Bachelor’s degree in a relevant field

Strumenti

Python or another scripting language

Markup languages (HTML, XML, Markdown)

Standard text formats (JSON, CSV, RTF)

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.

Note: This is a Fixed Term Contractual Role

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

• Bachelor’s degree in a relevant field or equivalent professional experience
• 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup
• 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
• 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

• Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the CEFR)
• Experience with creating complex data for LLM training and evaluation
• Strong understanding of U.S.-based culture, society, and norms
• Comfortable with high-school level STEM
• 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

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