📌 Core Information
🔹 Job Title: AI Content Expert II, AGI Data Services
🔹 Company: Amazon
🔹 Location: Boston, Massachusetts, United States
🔹 Job Type: On-site
🔹 Category: AI & Machine Learning
🔹 Date Posted: 2025-04-28
🔹 Experience Level: 2-5 years
🔹 Remote Status: No (On-site)
🚀 Job Overview
Key aspects of this role include:
- 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 requires strong analytical and creative writing skills, as well as the ability to work independently and make sound judgments.
📋 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 or confidential information, requiring a high level of discretion and attention to detail.
🎯 Required Qualifications
Education: Bachelor's degree in a relevant field (e.g., Linguistics, Computer Science, or a related discipline)
Experience: 2-5 years of experience in data annotation, content generation, or a related field
Required Skills:
- Excellent written and verbal communication skills in English
- Strong analytical and problem-solving skills
- Ability to work independently and manage multiple tasks
- Familiarity with data annotation tools and processes
- Proficiency in using Microsoft Office Suite
Preferred Skills:
- Experience with machine learning or artificial intelligence
- Fluency in additional languages
- Background in technical writing or scientific research
ASSUMPTION: While not explicitly stated, proficiency in additional languages may be beneficial for working with multilingual data.
💰 Compensation & Benefits
Salary Range: $70,000 - $110,000 per year (Based on industry standards for AI Content Experts with 2-5 years of experience in the Boston area)
Benefits:
- Health, dental, and vision insurance
- 401(k) matching
- Paid time off and holidays
- Employee discounts on Amazon products
- Tuition reimbursement and professional development opportunities
Working Hours: Full-time (40 hours per week), with flexible scheduling options
ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and qualifications.
📌 Applicant Insights
🔍 Company Context
Industry: E-commerce and Technology
Company Size: 10,001+ employees (Large enterprise)
Founded: 1994 (Over 25 years ago)
Company Description:
- Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence
- It is known for its customer-centric approach, operational excellence, and long-term thinking
- The company offers a wide range of products and services, including Amazon.com, Amazon Web Services (AWS), Amazon Prime Video, and Alexa
Company Specialties:
- E-commerce
- Cloud Computing
- Artificial Intelligence
- Digital Streaming
Company Website: https://www.amazon.com/
ASSUMPTION: Working at Amazon offers opportunities to collaborate with talented individuals and contribute to innovative projects, but the fast-paced environment may also present challenges in terms of work-life balance.
📊 Role Analysis
Career Level: Mid-level (2-5 years of experience)
Reporting Structure: This role reports directly to the Data Team Lead and works closely with scientists and engineers
Work Arrangement: On-site, with opportunities for flexible scheduling and remote work for specific tasks
Growth Opportunities:
- Advancement to senior roles within the Data Team or related fields
- Rotation to other teams or projects within Amazon
- Professional development through training and workshops
ASSUMPTION: As a mid-level role in a large organization, there may be opportunities for career progression, but competition for higher-level positions may be fierce.
🌍 Location & Work Environment
Office Type: Corporate office with open-plan workspaces and dedicated team areas
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
- The city offers a diverse range of neighborhoods, with vibrant arts, food, and entertainment scenes
- Boston has a humid continental climate, with warm summers and cold, snowy winters
Work Schedule: Full-time (40 hours per week), with flexible scheduling options and opportunities for remote work for specific tasks
ASSUMPTION: The on-site nature of this role may require commuting to the office, but the flexible scheduling options and opportunities for remote work can help balance work and personal life.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screening
- In-person or virtual interviews with the hiring manager and team members
- Skills assessment or take-home task
- Final interview with the hiring manager or a panel of interviewers
Key Assessment Areas:
- Writing and communication skills
- Analytical and problem-solving skills
- Attention to detail and quality assurance
- Cultural fit and alignment with Amazon's leadership principles
Application Tips:
- Tailor your resume and cover letter to highlight your relevant skills and experiences for this role
- Provide specific examples of your data annotation, content generation, or related work
- Demonstrate your understanding of Amazon's mission and values in your application materials
ATS Keywords: Data Analysis, Content Generation, Annotation, Quality Assurance, Technical Writing, Problem Solving, Collaboration, Attention to Detail, AI, Machine Learning, Amazon
ASSUMPTION: The application process for this role may be competitive, and applicants should tailor their materials to demonstrate their unique qualifications and fit for the position.
🛠️ Tools & Technologies
- Microsoft Office Suite (Word, Excel, PowerPoint)
- Data annotation tools (e.g., Labelbox, VGG Image Annotator, or custom tools)
- Project management tools (e.g., JIRA, Asana, or Trello)
- Collaboration tools (e.g., Slack, Microsoft Teams, or Google Workspace)
ASSUMPTION: Familiarity with relevant data annotation tools and project management platforms is beneficial for this role, but specific tools may vary depending on the team's preferences and projects.
👔 Cultural Fit Considerations
Company Values:
- Customer Obsessed
- Invent and Simplify
- Learn and Be Curious
- Hire and Develop the Best
- Insist on the Highest Standards
- Think Big
- Bias for Action
- Frugality
- Earn Trust
Work Style:
- Fast-paced and dynamic environment
- Collaborative and team-oriented culture
- Focus on innovation, invention, and continuous improvement
- Data-driven decision-making and problem-solving approach
Self-Assessment Questions:
- Do you thrive in a fast-paced, dynamic environment, and are you comfortable with ambiguity and change?
- Are you passionate about working with data and driving innovation through your work?
- Do you align with Amazon's leadership principles and values?
ASSUMPTION: Applicants should assess their fit with Amazon's company culture and work style, as well as their alignment with the company's values and leadership principles.
⚠️ Potential Challenges
- Working with large volumes of data and meeting tight deadlines
- Adapting to changes in guidelines, tools, or processes
- Collaborating effectively with cross-functional teams and stakeholders
- Managing multiple tasks and prioritizing workloads
- Working with sensitive or confidential information
ASSUMPTION: While this role offers opportunities for growth and innovation, it may also present challenges in terms of workload, adaptability, and collaboration.
📈 Similar Roles Comparison
- Compared to other data annotation or content generation roles, this position may offer more opportunities for creative writing and working with complex, technical content
- As a role within a large technology company, it may provide more opportunities for career growth and exposure to diverse projects compared to smaller organizations
- Career progression may involve transitioning to related roles within the Data Team or other teams within Amazon
ASSUMPTION: Applicants should consider the unique aspects of this role and how it compares to other data annotation or content generation positions, as well as the potential for career growth within Amazon.
📝 Sample Projects
- Developing and annotating a dataset for training a machine learning model to generate technical reports or summaries
- Creating and annotating a multilingual dataset for improving the translation quality of an AI-powered translation service
- Performing quality assurance on a dataset generated by a team of content creators, ensuring consistency and adherence to guidelines
ASSUMPTION: The specific projects for this role may vary depending on the team's priorities and the organization's ongoing initiatives.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the Data Team?
- How does this role contribute to the overall mission and goals of the Data Team and Amazon?
- What are the most challenging aspects of this role, and how can I best prepare for them?
- What opportunities are there for professional development and growth within this role and the Data Team?
- How does Amazon support work-life balance for its employees?
ASSUMPTION: Applicants should ask thoughtful questions during the interview process to gain a better understanding of the role, the team, and the company culture.
📌 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
- Prepare examples of your data annotation, content generation, or related work to showcase during the interview process
- Research Amazon's mission, values, and leadership principles to demonstrate your alignment with the company culture
- Follow up with the hiring manager or recruiter within one week after your interview to express your interest in the position
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
