📌 Core Information
🔹 Job Title: AI Content Writer II, AGI Data Services
🔹 Company: Amazon
🔹 Location: Boston, Massachusetts, United States
🔹 Job Type: On-site
🔹 Category: Software Development
🔹 Date Posted: 2025-06-09
🔹 Experience Level: 2-5 years
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Creating and annotating high-quality complex training data in multiple modalities for AGI's Large Language Models (LLMs).
- Collaborating with scientists and engineers to ensure data quality and identify tooling improvement opportunities.
- Working in a fast-paced environment with changing circumstances and direction.
- Adapting writing style to suit various style guidelines and customers.
ASSUMPTION: This role requires a strong understanding of U.S.-based culture, society, and norms, as well as excellent writing, reading, and comprehension skills (C2 level in the Common European Framework 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: This role may involve working with sensitive content, requiring comfort and understanding in handling such materials.
🎯 Required Qualifications
Education: High-School or equivalent diploma.
Experience: 2+ years of 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 Common European Framework 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; understanding of basic academic integrity, i.e., plagiarism.
- 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.
- 1+ year(s) of 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 tools and understanding of data structures may be beneficial for this role.
💰 Compensation & Benefits
Salary Range: $60,000 - $100,000 per year (Estimated based on industry standards for AI Content Writer II roles in the Boston area)
Benefits:
- Medical, dental, and vision insurance
- 401(k) with company match
- Paid time off and holidays
- Maternity and paternity leave
- Employee discounts
- Tuition reimbursement
Working Hours: Full-time (40 hours per week), with flexible scheduling and remote work options available for some roles.
ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and skills.
📌 Applicant Insights
🔍 Company Context
Industry: Software Development, specifically focused on e-commerce, retail, operations, and internet services.
Company Size: 10,001+ employees (Enterprise-level)
Founded: 1994 (as an online bookstore, later expanding into other products and services)
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
- Cloud computing and storage (Amazon Web Services)
- Artificial Intelligence and Machine Learning (Amazon AI, Alexa, etc.)
- Content creation and distribution (Amazon Studios, Amazon Music, Amazon Prime Video, etc.)
Company Website: https://www.amazon.com/
ASSUMPTION: Amazon's vast resources and global presence offer numerous opportunities for career growth and development.
📊 Role Analysis
Career Level: Mid-level (2-5 years of experience)
Reporting Structure: This role reports to the AGI Data Services team within Amazon's AI division.
Work Arrangement: On-site, with potential for remote work or hybrid arrangements depending on the specific role and team.
Growth Opportunities:
- Advancement to senior or lead roles within the AGI Data Services team or related departments.
- Expansion into other areas of Amazon's AI division or broader organization.
- Potential to work on cutting-edge projects and technologies in the AI and machine learning space.
ASSUMPTION: Given Amazon's size and diversity, there are ample opportunities for career growth and development within the company.
🌍 Location & Work Environment
Office Type: Corporate office environment with open-plan workspaces, collaborative areas, and on-site amenities.
Office Location(s): Boston, Massachusetts, United States
Geographic Context:
- Boston is a major city in the northeastern United States, known for its rich history, culture, and education institutions.
- The city offers a mix of urban and suburban living options, with a cost of living that is generally higher than the national average.
- Boston has a humid continental climate, with warm summers and cold, snowy winters.
Work Schedule: Full-time (40 hours per week), with flexible scheduling and remote work options available for some roles.
ASSUMPTION: The work environment may involve handling sensitive content, requiring comfort and understanding in managing such materials.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with a recruiter or HR representative
- Technical assessment or writing sample submission
- On-site or virtual interview with the hiring manager and team members
- Final decision and offer
Key Assessment Areas:
- Writing and annotation skills
- Attention to detail and quality assurance
- Problem-solving and decision-making abilities
- Cultural fit and alignment with Amazon's leadership principles
Application Tips:
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role.
- Demonstrate your understanding of U.S.-based culture, society, and norms in your application materials.
- Showcase your ability to adapt writing style to suit various style guidelines and customers in your writing sample or technical assessment.
ATS Keywords: AI Content Writer, Data Annotation, Large Language Models, AGI Data Services, Amazon AI, Writing Skills, English Proficiency, U.S. Culture, Attention to Detail
ASSUMPTION: The interview process may involve assessments of your writing, research, and problem-solving skills, as well as your cultural fit with Amazon's values and work environment.
🛠️ 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 (preferred)
- Regular expressions syntax
- Large Language Models (familiarity)
ASSUMPTION: The specific tools and technologies used may vary depending on the projects and tasks assigned to the role.
👔 Cultural Fit Considerations
Company Values:
- Customer obsession
- Passion for invention
- Commitment to operational excellence
- Long-term thinking
Work Style:
- Fast-paced and dynamic work environment
- Collaborative and team-oriented culture
- Focus on innovation, continuous learning, and improvement
- Strong commitment to diversity, equity, and inclusion
Self-Assessment Questions:
- Do you have a strong understanding of U.S.-based culture, society, and norms?
- Are you comfortable working in a fast-paced environment with changing circumstances, direction, and strategy?
- Can you effectively write and evaluate diverse subject matter across various domains, and adapt your writing style to suit various style guidelines and customers?
ASSUMPTION: Successful candidates will demonstrate a strong cultural fit with Amazon's values and work style, as well as a passion for innovation and continuous learning.
⚠️ Potential Challenges
- Handling sensitive content may require comfort and understanding in managing such materials.
- Working in a fast-paced environment with changing circumstances, direction, and strategy may be challenging for some individuals.
- Adapting writing style to suit various style guidelines and customers may require flexibility and strong writing skills.
- The cost of living in Boston may be higher than in other regions, potentially impacting overall compensation and benefits.
ASSUMPTION: Addressing these challenges requires self-awareness, adaptability, and strong communication skills.
📈 Similar Roles Comparison
- Compared to other AI Content Writer roles, this position focuses more on creating complex data for Large Language Model training and evaluation.
- In the AI and machine learning industry, Amazon is known for its cutting-edge research and development, offering opportunities to work on innovative projects and technologies.
- Career paths in AI Content Writing may vary depending on the specific role, company, and industry, with potential for growth into senior or lead roles, as well as expansion into other areas of AI and machine learning.
ASSUMPTION: Understanding the unique aspects of this role and its industry context can help applicants tailor their application materials and prepare for the interview process.
📝 Sample Projects
- Creating and annotating a dataset of technical or scientific content, focusing on complex and nuanced aspects of the subject matter.
- Developing a writing style guide for a specific customer or project, ensuring consistency and adherence to quality standards.
- Performing a quality audit of a dataset created by other specialists, identifying and addressing any inconsistencies or errors.
ASSUMPTION: These sample projects demonstrate the key responsibilities and required skills for the AI Content Writer II role within AGI Data Services at Amazon.
❓ Key Questions to Ask During Interview
- Can you describe the specific projects and tasks that this role will be working on initially?
- How does this role fit into the broader AGI Data Services team and Amazon's AI division?
- What are the most important qualities and skills for success in this role, according to the hiring manager?
- How does Amazon support the professional development and growth of its employees in this role and within the AI division?
- What is the work-life balance like for this role, and how does Amazon support its employees in maintaining a healthy work-life balance?
ASSUMPTION: Asking thoughtful and insightful questions during the interview process can help applicants better understand the role, the team, and the company, as well as demonstrate their interest and engagement.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant skills and experiences for this role, emphasizing your understanding of U.S.-based culture, society, and norms, as well as your strong writing, research, and problem-solving skills.
- Prepare a writing sample or technical assessment that showcases your ability to create and annotate high-quality complex training data in multiple modalities, as well as your ability to adapt your writing style to suit various style guidelines and customers.
- Follow up with the hiring manager or recruiter within one week of submitting your application to express your continued interest in the role.
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
