📌 Core Information
🔹 Job Title: AI Content Expert II Co-op, AGI Data Services
🔹 Company: Amazon
🔹 Location: Boston, Massachusetts, United States
🔹 Job Type: Co-op (Internship)
🔹 Category: Data & AI
🔹 Date Posted: May 19, 2025
🔹 Experience Level: Entry-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 (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
ASSUMPTION: This role requires strong analytical and creative writing skills, as well as the ability to work independently and make informed decisions.
📋 Key Responsibilities
✅ Create and annotate high-quality complex training data in multiple modalities 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: This role involves a significant amount of data analysis and content creation, with a focus on quality and accuracy.
🎯 Required Qualifications
Education: Pursuing a Bachelor's degree in a relevant field (e.g., Computer Science, Linguistics, Data Science)
Experience: 0-2 years of relevant experience (e.g., internships, personal projects)
Required Skills:
- Strong analytical and problem-solving skills
- Excellent written communication skills in English
- Ability to work independently and manage time effectively
- Familiarity with data analysis tools and techniques
- Knowledge of AI and machine learning concepts
Preferred Skills:
- Experience with AI content creation or data annotation
- Fluency in multiple languages
- Background in technical writing or content creation
ASSUMPTION: While relevant experience is preferred, this role is designed for students looking to gain practical experience in AI content creation and data analysis.
💰 Compensation & Benefits
Salary Range: $18 - $22 per hour (based on industry standards for AI content internships)
Benefits:
- Paid internship with a competitive hourly wage
- Opportunity to work on cutting-edge AI projects
- Potential for full-time employment after the internship
Working Hours: Full-time (40 hours per week) for 6 months (July - December 2025)
ASSUMPTION: The salary range is an estimate based on industry standards for AI content internships. The actual salary may vary depending on the candidate's qualifications and experience.
📌 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 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
- Retail
- Operations
- Internet
Company Website: https://www.amazon.com
ASSUMPTION: Amazon is a well-established company with a strong focus on innovation and customer satisfaction. This role offers an excellent opportunity to gain experience in AI content creation and data analysis within a large, successful organization.
📊 Role Analysis
Career Level: Entry-level (Co-op/Intern)
Reporting Structure: This role reports directly to the Data Team
Work Arrangement: On-site, full-time (40 hours per week) for 6 months
Growth Opportunities:
- Potential for full-time employment after the internship
- Opportunity to work on diverse AI projects and gain hands-on experience
- Exposure to Amazon's innovative work environment and culture
ASSUMPTION: This role offers a unique opportunity for students to gain practical experience in AI content creation and data analysis, with the potential for long-term career growth within Amazon.
🌍 Location & Work Environment
Office Type: Corporate office
Office Location(s): Boston, MA
Geographic Context:
- Boston is a major city in Massachusetts, known for its rich history, culture, and education
- The city offers a variety of neighborhoods, each with its unique character and amenities
- Boston has a humid continental climate, with warm summers and cold, snowy winters
Work Schedule: Monday - Friday, 9:00 AM - 5:00 PM (with a 1-hour lunch break)
ASSUMPTION: The work environment is fast-paced and dynamic, with a strong focus on collaboration and innovation. The office is located in a bustling urban area, offering easy access to public transportation and nearby amenities.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with the hiring manager
- Technical assessment or take-home project
- Final on-site or virtual interview with the team
Key Assessment Areas:
- Analytical and problem-solving skills
- Written communication skills
- Ability to work independently and manage time effectively
- Familiarity with AI and machine learning concepts
Application Tips:
- Tailor your resume and cover letter to highlight your relevant skills and experiences
- Be prepared to discuss your familiarity with AI content creation and data analysis
- Demonstrate your ability to work independently and make informed decisions
ATS Keywords: AI content creation, data annotation, data analysis, machine learning, technical writing, problem-solving, independent work
ASSUMPTION: The application process is competitive, and candidates should be prepared to demonstrate their skills and qualifications through a combination of interviews and assessments.
🛠️ Tools & Technologies
- Data analysis tools (e.g., Python, R, SQL)
- AI content creation platforms (e.g., Amazon's internal tools)
- Collaboration tools (e.g., Slack, Microsoft Teams)
ASSUMPTION: The specific tools and technologies used may vary depending on the projects assigned during the internship.
👔 Cultural Fit Considerations
Company Values:
- Customer obsession
- Passion for invention
- Commitment to operational excellence
- Long-term thinking
Work Style:
- Fast-paced and dynamic
- Collaborative and innovative
- Focused on customer satisfaction
Self-Assessment Questions:
- Do you thrive in a fast-paced, collaborative environment?
- Are you passionate about inventing and creating new solutions?
- Do you have a strong commitment to customer satisfaction?
ASSUMPTION: Candidates should be prepared to demonstrate their alignment with Amazon's core values and work style during the interview process.
⚠️ Potential Challenges
- Working with complex and ambiguous data
- Meeting tight deadlines and maintaining high-quality standards
- Adapting to a fast-paced, dynamic work environment
- Competing with experienced candidates for limited internship positions
ASSUMPTION: While this role offers many opportunities for growth and learning, it also presents unique challenges that candidates should be prepared to face.
📈 Similar Roles Comparison
- Compared to other AI content creation roles, this internship offers a competitive salary and the opportunity to work on cutting-edge projects within a large, successful organization
- AI content creation roles may vary in terms of the specific industries and types of data they focus on
- This role offers a clear career path for candidates interested in pursuing a career in AI content creation or data analysis
ASSUMPTION: Candidates should research similar roles and compare the opportunities and challenges they present to make an informed decision about their career goals.
📝 Sample Projects
- Creating and annotating training data for Amazon's Large Language Models (LLMs)
- Developing guidelines and best practices for AI content creation and data annotation
- Identifying and addressing tooling bugs and improvement opportunities
ASSUMPTION: The specific projects assigned may vary depending on the team's needs and the candidate's skills and interests.
❓ 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 internship fit into Amazon's long-term goals for AI content creation and data analysis?
- What opportunities are there for growth and development within this role and the broader organization?
- How does Amazon support work-life balance for its interns?
- What is the team's approach to collaboration and innovation, and how can I contribute to it?
ASSUMPTION: Candidates should prepare thoughtful questions that demonstrate their interest in the role and their commitment to learning and growth.
📌 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
- Prepare for a phone or video screen with the hiring manager, focusing on your analytical and problem-solving skills, as well as your familiarity with AI and machine learning concepts
- Complete a technical assessment or take-home project, demonstrating your ability to work independently and make informed decisions
- Follow up with the hiring manager one week after your final interview, expressing your enthusiasm for the role and reiterating your qualifications
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
