AI Content Expert , Artificial General Intelligence

📌 Core Information

🔹 Job Title: AI Content Expert II

🔹 Company: Amazon

🔹 Location: Gdańsk, Pomorskie, Poland

🔹 Job Type: On-site

🔹 Category: Artificial General Intelligence

🔹 Date Posted: June 20, 2025

🔹 Experience Level: Entry-level

🔹 Remote Status: On-site

🚀 Job Overview

Key aspects of this role include:

• Creating and annotating high-quality complex training data in multiple modalities
• Writing grammatically correct texts in different styles with various degrees of creativity
• Performing audits and quality checks of tasks completed by other specialists
• Making sound judgments and logical decisions when faced with ambiguous or incomplete information

ASSUMPTION: This role requires a high level of attention to detail, strong writing skills, and the ability to adapt to different writing styles and guidelines.

📋 Key Responsibilities

✅ Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content

✅ Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines

✅ Perform audits and quality checks of tasks completed by other specialists, if required

✅ Make sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks

✅ Dive deep into issues and implement solutions independently

✅ Identify and report tooling bugs and suggest improvements

ASSUMPTION: The role involves a significant amount of independent work, requiring strong problem-solving skills and the ability to work with minimal supervision.

🎯 Required Qualifications

Education: High-School or equivalent diploma.

Experience: Proven experience working with written language data, including experience with annotation, and other forms of data markup.

Required Skills:

• CEFR C1+ or equivalent fluency in German language
• Written and spoken knowledge of English is essential (CEFR B2+)
• Strong understanding of U.S.-based culture, society, and norms
• Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources
• 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 Skills:

• 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 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

ASSUMPTION: While a bachelor's degree is preferred, Amazon is open to considering candidates with equivalent professional experience.

💰 Compensation & Benefits

Salary Range: The salary range for this role is not provided. However, based on industry standards for AI Content Experts in Poland, the estimated salary range is PLN 12,000 - 16,000 per month (gross).

Benefits:

• Health, dental, and vision insurance
• Retirement savings plan
• Paid time off (vacation, sick, and holidays)
• Maternity and paternity leave
• Employee discounts

Working Hours: Full-time, Monday through Friday, eight-hour shift

ASSUMPTION: The provided salary range is an estimate based on market research and may vary depending on the candidate's experience and skills.

📌 Applicant Insights

🔍 Company Context

Industry: Amazon operates in the e-commerce, retail, and technology sectors, with a focus on innovation, customer obsession, and operational excellence.

Company Size: Amazon is a large corporation with over 10,000 employees worldwide. This size allows for diverse opportunities and a robust infrastructure to support employee growth and development.

Founded: Amazon was founded in 1994 by Jeff Bezos and is headquartered in Seattle, Washington, USA.

Company Description:

• Amazon is guided by four principles: customer obsession, passion for invention, commitment to operational excellence, and long-term thinking
• The company is driven by the excitement of building technologies, inventing products, and providing services that change lives
• Amazon's mission is to be Earth's most customer-centric company

Company Specialties:

• E-commerce platform and services
• Retail and consumer products
• Cloud computing and infrastructure services (Amazon Web Services)
• Artificial Intelligence and machine learning technologies (Alexa, Amazon Go, etc.)

Company Website: Amazon.com

ASSUMPTION: Amazon's large size and diverse business segments offer numerous opportunities for career growth and development.

📊 Role Analysis

Career Level: This role is an entry-level position within the Data Team, focusing on creating and annotating training data for Large Language Models.

Reporting Structure: The AI Content Expert II will report directly to the Data Team Manager.

Work Arrangement: This is an on-site role, requiring the candidate to work from Amazon's office in Gdańsk, Poland, Monday through Friday, with an eight-hour shift.

Growth Opportunities:

• Progression to senior roles within the Data Team or related departments
• Expansion of skills and knowledge in AI, machine learning, and data analysis
• Potential to work on diverse projects and collaborate with various teams across the organization

ASSUMPTION: This role provides a strong foundation for a career in AI and data analysis, with ample opportunities for growth and development within Amazon.

🌍 Location & Work Environment

Office Type: Amazon's office in Gdańsk is a modern, collaborative workspace with a diverse team and regular events and trainings.

Office Location(s): 2127 7th Ave., Seattle, WA 98109, US (headquarters); 12900 Worldgate Dr, Herndon, VA 20170, US; 7200 Discovery Dr, Chattanooga, TN 37416, US; 1100 Enterprise Way, Sunnyvale, CA 94089, US; 2010 Broening Hwy, Baltimore, MD 21224, US; and other global locations.

Geographic Context:

• Gdańsk is a major city in northern Poland, located on the Baltic Sea coast
• The city is known for its rich history, vibrant culture, and beautiful architecture
• Gdańsk is home to the European Solidarity Center and the Long Embankment (Długie Pobrzeże)

Work Schedule: Full-time, Monday through Friday, eight-hour shift

ASSUMPTION: Working in Gdańsk offers a unique blend of historical and cultural experiences, with a vibrant tech industry and a diverse, multinational workforce.

💼 Interview & Application Insights

Typical Process:

• Online application and resume screening
• Phone or video call with the hiring manager
• On-site or virtual interview with the team
• Final interview with the hiring manager or a panel of interviewers
• Background check and offer extension

Key Assessment Areas:

• Language proficiency and writing skills
• Attention to detail and quality assurance
• Problem-solving skills and adaptability
• Cultural fit and understanding of Amazon's values

Application Tips:

• Tailor your resume to highlight relevant skills and experiences for this role
• Prepare for language proficiency assessments and writing samples during the interview process
• Research Amazon's values and be prepared to discuss how your personal values align with the company's

ATS Keywords: AI Content Expert, Data Annotation, Content Generation, Data Analysis, Language Proficiency, Writing Skills, Attention to Detail, Problem Solving, Quality Assurance, Tool Improvement, Team Collaboration, Technical Writing, Cultural Understanding, Scripting Knowledge

ASSUMPTION: The application process for this role is competitive, and candidates should be prepared to demonstrate their skills and qualifications throughout the interview process.

🛠️ Tools & Technologies

• Command line interfaces and basic UNIX commands
• Common markup languages such as HTML, XML, Markdown
• Common standard text formats such as JSON, CSV, RTF
• Python or another scripting language
• Regular expressions syntax
• Large Language Models

ASSUMPTION: Familiarity with these tools and technologies is preferred but not required. Amazon provides training and resources to help employees develop the necessary skills for their roles.

👔 Cultural Fit Considerations

Company Values:

• Customer obsession
• Passion for invention
• Commitment to operational excellence
• Long-term thinking

Work Style:

• Fast-paced and dynamic environment
• Collaborative and team-oriented culture
• Focus on innovation and continuous improvement
• Strong emphasis on customer-centricity

Self-Assessment Questions:

• Do you have a strong passion for creating high-quality content and ensuring its accuracy?
• Are you comfortable working in a fast-paced, dynamic environment with changing circumstances and direction?
• Do you have strong problem-solving skills and the ability to work independently?

ASSUMPTION: Candidates who align with Amazon's values and work style are more likely to succeed in this role and contribute to the company's continued success.

⚠️ Potential Challenges

• The role may involve working with sensitive content, requiring a high level of discretion and professionalism
• The fast-paced nature of the role may be challenging for candidates who prefer a more structured or predictable work environment
• The role may require working with complex technical or scientific concepts, which may be challenging for candidates without a strong foundation in STEM
• The on-site nature of the role may be inconvenient for candidates who prefer a remote or hybrid work arrangement

ASSUMPTION: Candidates should carefully consider their personal preferences and work style when evaluating this role to ensure a good fit with Amazon's work environment.

📈 Similar Roles Comparison

• This role is similar to other AI Content Expert positions but may require a higher level of language proficiency and cultural understanding
• Compared to related roles in the industry, this position offers a competitive salary range and comprehensive benefits package
• Career progression in this role may lead to senior positions within the Data Team or related departments, with opportunities for growth and development within Amazon

ASSUMPTION: Candidates should research similar roles in the industry to better understand the competitive landscape and make informed decisions about their career prospects.

📝 Sample Projects

• Creating and annotating training data for a new Large Language Model focused on technical or scientific content
• Developing and implementing quality assurance processes for content generation tasks
• Collaborating with scientists and engineers to review and update guidelines for content creation and annotation

ASSUMPTION: These sample projects provide a glimpse into the types of tasks and responsibilities that an AI Content Expert II may encounter in this role.

❓ Key Questions to Ask During Interview

• Can you describe the day-to-day responsibilities of an AI Content Expert II in this role?
• How does this role fit into the overall structure of the Data Team and Amazon's broader organization?
• What are the most challenging aspects of this role, and how does Amazon support its employees in overcoming these challenges?
• What opportunities are there for growth and development within this role and Amazon more broadly?
• How does Amazon foster a culture of innovation and continuous improvement within its teams?

ASSUMPTION: Asking thoughtful questions during the interview process demonstrates your interest in the role and provides valuable insights into the work environment and company culture.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume to highlight your relevant skills and experiences for this role
• Prepare for language proficiency assessments and writing samples during the interview process
• Research Amazon's values and be prepared to discuss how your personal values align with the company's
• Follow up with the hiring manager one week after your final interview to inquire about the status of your application

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.