AI Content Expert , Artificial General Intelligence

📌 Core Information

🔹 Job Title: AI Content Expert II

🔹 Company: Amazon

🔹 Location: Gdańsk, Pomeranian Voivodeship, Poland

🔹 Job Type: On-site

🔹 Category: Artificial General Intelligence

🔹 Date Posted: June 10, 2025

🔹 Experience Level: 0-2 years

🔹 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
• Collaborating with scientists and engineers to improve data quality and tooling

ASSUMPTION: This role requires a strong understanding of U.S.-based culture, society, and norms, as well as excellent writing, reading, and comprehension skills in English (C2 level in the CEFR scale).

📋 Key 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

ASSUMPTION: The role may involve working with sensitive content, requiring comfort and discretion.

🎯 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:

• Strong proficiency in English (C2 level in the CEFR scale)
• 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

ASSUMPTION: While not explicitly stated, having experience with data analysis and content generation tools may be beneficial for this role.

💰 Compensation & Benefits

Salary Range: The salary range for this role is estimated to be between PLN 10,000 - 15,000 per month, based on industry standards for similar roles in Poland. This is an estimate and the actual salary may vary based on experience and qualifications.

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, with an eight-hour shift

ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary based on the candidate's qualifications and experience.

📌 Applicant Insights

🔍 Company Context

Industry: Amazon operates in the e-commerce, retail, and technology sectors, with a focus on artificial intelligence and machine learning.

Company Size: Amazon is a large corporation with over 10,000 employees worldwide. This size offers opportunities for career growth and exposure to diverse projects.

Founded: Amazon was founded in 1994 and has since grown into a global leader in its industries.

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 embraces new ways of doing things, makes decisions quickly, and is not afraid to fail.

Company Specialties:

• E-commerce
• Retail
• Operations
• Internet
• Artificial Intelligence
• Machine Learning

Company Website: Amazon.com

ASSUMPTION: Working at Amazon offers exposure to cutting-edge technology and a dynamic work environment.

📊 Role Analysis

Career Level: This role is an entry-level to mid-level position within the AI content creation and annotation field.

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

Work Arrangement: This is an on-site position, with regular office hours from Monday to Friday.

Growth Opportunities:

• Progression to senior roles within the Data Team or related departments
• Expansion of skills and expertise in AI content creation, annotation, and data analysis
• Potential involvement in special projects and initiatives

ASSUMPTION: This role offers opportunities for professional growth and development within the AI and data analysis fields.

🌍 Location & Work Environment

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

Office Location(s): Gdańsk, Pomeranian Voivodeship, Poland

Geographic Context:

• Gdańsk is the largest city in the Pomeranian Voivodeship and the capital of the Pomeranian Metropolitan Area.
• The city is known for its vibrant culture, rich history, and beautiful architecture.
• Gdańsk is also a major hub for technology and innovation, with a growing startup scene.

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

ASSUMPTION: Working in Gdańsk offers a unique blend of historical and modern urban living, with a thriving cultural scene and a strong focus on technology and innovation.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening
• On-site or virtual interview with the hiring manager and team members
• Background check and reference check
• Job offer

Key Assessment Areas:

• English language proficiency
• Writing and annotation skills
• Problem-solving abilities
• Cultural fit and understanding of U.S.-based norms
• Adaptability to fast-paced environments

Application Tips:

• Tailor your resume and cover letter to highlight relevant skills and experiences for this role
• Provide examples of your writing and annotation work, if available
• Demonstrate your understanding of U.S.-based culture and norms in your application materials
• Prepare for behavioral and situational interview questions that assess your problem-solving skills and adaptability

ATS Keywords: AI content creation, data annotation, English language proficiency, U.S. culture, writing skills, problem-solving, adaptability

ASSUMPTION: The application process for this role may involve multiple rounds of interviews and assessments to evaluate the candidate's skills and cultural fit.

🛠️ 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 beneficial for this role, but not all may be required on a daily basis.

👔 Cultural Fit Considerations

Company Values:

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

Work Style:

• Collaborative and team-oriented
• Fast-paced and dynamic
• Focused on innovation and continuous improvement

Self-Assessment Questions:

• Do you have excellent writing, reading, and comprehension skills in English (C2 level in the CEFR scale)?
• Are you comfortable working in a fast-paced environment with changing circumstances, direction, and strategy?
• Do you have a strong understanding of U.S.-based culture, society, and norms?

ASSUMPTION: Candidates who align with Amazon's values and work style, and who can demonstrate strong English language proficiency and cultural awareness, will be well-suited for this role.

⚠️ Potential Challenges

• Working with sensitive content may require comfort and discretion
• The fast-paced nature of the role may present challenges for those who prefer a more stable work environment
• Adapting to changing circumstances, direction, and strategy may require flexibility and resilience
• Working with complex data and tools may present learning curves and technical challenges

ASSUMPTION: These challenges can be overcome with strong problem-solving skills, adaptability, and a willingness to learn and grow in the role.

📈 Similar Roles Comparison

• This role focuses more on content creation and annotation than data analysis or engineering
• While the role involves working with AI and machine learning technologies, it is not a research or development position
• Career progression in this role may lead to senior content creation and annotation roles, or related data analysis positions

ASSUMPTION: This role offers a unique blend of content creation, data analysis, and AI technologies, with opportunities for growth and development within the field.

📝 Sample Projects

• Creating and annotating a dataset for training a Large Language Model to generate creative and engaging product descriptions
• Developing a style guide for writing product reviews in various tones and styles
• Performing a quality audit of an existing dataset to identify and address inconsistencies and inaccuracies

ASSUMPTION: These sample projects illustrate the range of tasks and responsibilities for this role, and demonstrate the importance of creativity, attention to detail, and adaptability.

❓ Key Questions to Ask During Interview

• What are the most challenging aspects of this role, and how can I best prepare for them?
• How does this role fit into the broader data team and company goals?
• What opportunities are there for professional growth and development within this role?
• How does the company support work-life balance for on-site employees?
• What is the team's approach to collaboration and communication, and how can I contribute to a positive work environment?

ASSUMPTION: Asking thoughtful and insightful questions demonstrates your interest in the role and your commitment to success.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight relevant skills and experiences for this role
• Provide examples of your writing and annotation work, if available
• Prepare for behavioral and situational interview questions that assess your problem-solving skills and adaptability
• Follow up with the hiring manager one week after submitting your application to express your interest and reiterate your qualifications

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