AI Content Expert, Artificial General Intelligence

Kanz Dresden

Stellenbeschreibung:

Seeking 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 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

  • Creating training data that are complex in nature and require informed, high‑judgment decisions
  • Working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data

Basic Qualifications

  • 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 (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 and plagiarism
  • Excellent attention to detail 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

  • 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 standard text formats such as JSON, CSV, RTF
  • Working knowledge of Python or another scripting language
  • Familiarity with regular expressions syntax and Large Language Models
  • Comfort in annotation work that may include sensitive content

This is a fixed‑term contract.

About the Team

  • The team works strictly in the office Monday through Friday with an eight‑hour shift
  • They are constantly looking for ways to improve capabilities and deliver the best product possible
  • Diverse team with regular meetings, training, and Amazon events throughout the year

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.

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, please let us know.

Seniority Level

Entry level

Employment Type

Full‑time fixed‑term contract

Job Function

Marketing, Public Relations, and Writing/Editing

Industries

Technology, Information and Internet

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    02 Jan 2026
  • Standort:

    Dresden
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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