Senior Data Associate
2 weken geleden
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, stricly 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 training data that is complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
This is a Fixed term contract
About the team
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, trainings, and Amazon events throughout the year await you.
Basic Qualifications:
- High school or equivalent diploma
- Experience with language annotation and other forms of data markup
- Experience and familiarity with US culture
- Can work proactively and independently, meet deadlines, and deliver on projects and tasks
- Experience working in science, technology, engineering, or mathematics (STEM)
- Experience working in a fast paced, quickly changing or international environment
- - CEFR C1+ or equivalent fluency in Dutch language
- - Written and spoken knowledge of English is essential (CEFR B2+)
- - Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- - Ability to effectively write and evaluate diverse subject matter across various domains
- - Ability to adapt writing style to suit various style guidelines and customers.
Preferred Qualifications:
- Knowledge of HTML, XML, and Excel
- Knowledge of a scripting language (Python, R, etc.)
- Experience using Linux, demonstrating proficiency with associated tools or languages
- - 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 standard text formats such as JSON, CSV, RTF
Amazon is 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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians 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, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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