📌 Core Information
🔹 Job Title: AI Content Expert II Co-op, AGI Data Services
🔹 Company: Amazon
🔹 Location: Boston, MA, USA
🔹 Job Type: Co-op (Internship)
🔹 Category: AI & Machine Learning
🔹 Date Posted: May 19, 2025
🔹 Experience Level: Entry-level (0-2 years)
🔹 Remote Status: On-site (Boston, MA)
🚀 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
- Collaborating with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data
ASSUMPTION: This role requires strong writing skills, attention to detail, and the ability to work independently. It also involves making informed decisions with ambiguous information and performing audits of completed tasks.
📋 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: The role may require working on tasks with tight deadlines and managing multiple projects simultaneously.
🎯 Required Qualifications
Education: Pursuing a Bachelor's or Master's degree in a relevant field (e.g., Linguistics, Computer Science, or a related discipline)
Experience: 0-2 years of experience in data annotation, content creation, or a related field
Required Skills:
- Excellent written communication skills in English
- Strong attention to detail and quality assurance skills
- Ability to work independently and manage multiple projects
- Familiarity with data annotation tools and processes
- Basic understanding of AI and machine learning concepts
Preferred Skills:
- Experience with large language models (LLMs) or other AI technologies
- Fluency in multiple languages
- Background in technical or scientific writing
ASSUMPTION: While not explicitly stated, proficiency in English is required for this role. Fluency in additional languages may be an asset but is not a requirement.
💰 Compensation & Benefits
Salary Range: $20 - $25 per hour (Estimated, based on industry standards for entry-level AI content roles in Boston, MA)
Benefits:
- Paid internship with a stipend
- Potential for full-time employment after the internship
- Opportunity to work on cutting-edge AI projects and gain valuable experience
Working Hours: Full-time (40 hours per week) for 6 months, from July to December 2025
ASSUMPTION: The salary range is an estimate based on industry standards for entry-level AI content roles in Boston, MA. The actual salary may vary depending on factors such as the candidate's education level, relevant experience, and the company's compensation structure.
📌 Applicant Insights
🔍 Company Context
Industry: E-commerce and Technology
Company Size: 10,001+ employees (Large enterprise)
Founded: 1994 (Amazon was founded in Bellevue, WA, USA)
Company Description:
- Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence
- It is guided by four principles: customer obsession, passion for invention, commitment to operational excellence, and long-term thinking
- Amazon is driven by the excitement of building technologies, inventing products, and providing services that change lives
Company Specialties:
- E-commerce platform and services
- Cloud computing and storage (Amazon Web Services)
- Digital streaming and entertainment (Amazon Prime Video, Music, and other services)
- Artificial intelligence and machine learning technologies
Company Website: Amazon.com
ASSUMPTION: Working at Amazon offers opportunities to collaborate with talented professionals, work on large-scale projects, and contribute to innovative technologies that impact millions of customers worldwide.
📊 Role Analysis
Career Level: Entry-level (Co-op/Intern)
Reporting Structure: This role reports directly to the Data Team, working closely with scientists and engineers
Work Arrangement: On-site (Boston, MA) for 6 months, full-time (40 hours per week)
Growth Opportunities:
- Potential for full-time employment after the internship
- Opportunity to work on cutting-edge AI projects and gain valuable experience
- Possibility to transition into a full-time role or advance within the company after demonstrating strong performance
ASSUMPTION: This role offers a unique opportunity for students to gain practical experience in AI content creation and data annotation while working on real-world projects for a leading technology company.
🌍 Location & Work Environment
Office Type: Corporate office with a collaborative work environment
Office Location(s): Boston, MA, USA
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 diverse range of neighborhoods, cultural attractions, and outdoor activities
- Boston has a humid continental climate, with warm, humid summers and cold, snowy winters
Work Schedule: Full-time (40 hours per week) for 6 months, from July to December 2025
ASSUMPTION: Working on-site in Boston offers the opportunity to collaborate directly with team members, attend in-person meetings, and engage in the city's vibrant culture and activities.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with the hiring manager
- Technical assessment or take-home task
- Final on-site or video interview with the team
Key Assessment Areas:
- Writing skills and attention to detail
- Ability to work independently and manage multiple projects
- Familiarity with data annotation tools and processes
- Understanding of AI and machine learning concepts
Application Tips:
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role
- Demonstrate your understanding of AI content creation and data annotation in your application materials
- Showcase your ability to work independently and manage multiple projects
- Prepare for the interview by researching Amazon's mission, values, and AI initiatives
ATS Keywords: AI content creation, data annotation, writing skills, attention to detail, AI, machine learning, Amazon, AGI, Boston, co-op, internship
ASSUMPTION: The application process may involve multiple rounds of interviews and assessments to ensure the best fit for the role and the company.
🛠️ Tools & Technologies
- Data annotation tools (e.g., Amazon SageMaker Ground Truth, Labelbox, or similar platforms)
- Collaboration and project management tools (e.g., Amazon Chime, Slack, or Microsoft Teams)
- Office suite (e.g., Microsoft Office or Google Workspace)
ASSUMPTION: The specific tools and technologies used may vary depending on the team's preferences and the project's requirements.
👔 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 innovative
- Data-driven and analytical
- Focused on delivering high-quality results
Self-Assessment Questions:
- Do you share Amazon's customer-centric focus and commitment to operational excellence?
- Are you passionate about inventing and learning new technologies?
- Can you thrive in a fast-paced, collaborative work environment?
ASSUMPTION: Successful candidates will demonstrate a strong fit with Amazon's company values and work style, as well as a passion for AI and data annotation.
⚠️ Potential Challenges
- Working on tight deadlines and managing multiple projects simultaneously
- Adapting to a fast-paced, dynamic work environment
- Dealing with ambiguous or incomplete information while making sound judgments
- Potential for repetitive tasks in data annotation and content creation
ASSUMPTION: These challenges can be overcome with strong time management skills, adaptability, and a commitment to delivering high-quality work.
📈 Similar Roles Comparison
- This role is similar to other AI content creation and data annotation positions, but it offers the unique opportunity to work on cutting-edge AI projects for a leading technology company
- Compared to other entry-level AI roles, this co-op position offers a competitive salary and the potential for full-time employment after the internship
- Career progression may involve transitioning into a full-time role or advancing within the company after demonstrating strong performance
ASSUMPTION: This role provides a valuable entry point into the AI and machine learning industry, with the potential for long-term career growth and development.
📝 Sample Projects
- Creating and annotating training data for Amazon's large language models (LLMs) to improve their capabilities in understanding and generating human-like text
- Working on data annotation projects for Amazon's AI-powered virtual assistant, Alexa, to enhance its natural language processing and conversational abilities
- Contributing to the development of high-quality training data for Amazon's computer vision and image recognition technologies
ASSUMPTION: Sample projects may vary depending on the team's priorities and the company's ongoing AI initiatives.
❓ 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 co-op role contribute to Amazon's broader AI and machine learning efforts?
- What opportunities are there for growth and development within the company after the internship?
- How does the team collaborate and communicate to ensure the success of AI content creation and data annotation projects?
- What is the typical career path for someone in this role, and how can I position myself for long-term success?
ASSUMPTION: Asking thoughtful questions during the interview demonstrates your interest in the role and 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
- Prepare for the interview by researching Amazon's mission, values, and AI initiatives
- Showcase your writing skills and attention to detail in your application materials
- Follow up with the hiring manager one week after submitting your application, if you haven't heard back
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
