📌 Core Information
🔹 Job Title: AI Content Expert II Co-op
🔹 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
🚀 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 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 writing, with a focus on quality and attention to detail.
🎯 Required Qualifications
Education: Pursuing a Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Linguistics, or a related discipline).
Experience: None specified, but relevant coursework or projects are preferred.
Required Skills:
- Strong analytical and problem-solving skills.
- Excellent writing skills with the ability to adapt to different styles and tones.
- Attention to detail and a strong commitment to quality.
- Ability to work independently and make informed decisions.
- Familiarity with data analysis tools and techniques.
Preferred Skills:
- Experience with AI or machine learning concepts.
- Knowledge of programming languages (e.g., Python, R).
- Fluency in multiple languages.
ASSUMPTION: Strong analytical and writing skills are crucial for this role, as well as the ability to work independently and make informed decisions.
💰 Compensation & Benefits
Salary Range: $20 - $25 per hour (based on industry standards for AI internships).
Benefits:
- Paid internship with the opportunity to work on cutting-edge AI projects.
- Mentorship and training opportunities.
- Potential full-time employment after the internship.
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 AI internships. Actual compensation may vary.
📌 Applicant Insights
🔍 Company Context
Industry: E-commerce and technology. Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence.
Company Size: 10,001+ employees. Amazon is one of the largest companies in the world, with a significant impact on the tech industry.
Founded: 1994. Amazon was founded by Jeff Bezos and is headquartered in Seattle, Washington, USA.
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 infrastructure (Amazon Web Services).
- Digital streaming and entertainment (Amazon Prime Video, Amazon Music).
- Artificial intelligence and machine learning.
Company Website: Amazon.com
ASSUMPTION: Amazon's large size and diverse business portfolio offer numerous opportunities for growth and learning.
📊 Role Analysis
Career Level: Entry-level (Co-op/Intern). This role is designed for students pursuing a degree in a relevant field.
Reporting Structure: This role reports directly to the Data Team, working closely with scientists and engineers.
Work Arrangement: On-site, full-time (40 hours per week) for 6 months, from July to December 2025.
Growth Opportunities:
- Potential full-time employment after the internship.
- Mentorship and training opportunities to develop AI and data analysis skills.
- Exposure to cutting-edge AI projects and technologies.
ASSUMPTION: This role offers valuable experience and growth opportunities for students interested in AI and data analysis.
🌍 Location & Work Environment
Office Type: On-site, with the opportunity to work in a collaborative and innovative 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, attractions, and outdoor activities.
- Boston has a humid continental climate, with warm summers and cold, snowy winters.
Work Schedule: Full-time (40 hours per week) for 6 months, with the possibility of extension or conversion to a full-time role.
ASSUMPTION: Working on-site in Boston offers the opportunity to engage with a diverse and dynamic team in a vibrant city.
💼 Interview & Application Insights
Typical Process:
- Online application submission.
- Phone or video screen with the hiring manager.
- Technical assessment or case study.
- Final on-site or video interview with the team.
Key Assessment Areas:
- Analytical and problem-solving skills.
- Writing skills and ability to adapt to different styles and tones.
- Attention to detail and commitment to quality.
- Ability to work independently and make informed decisions.
Application Tips:
- Highlight relevant coursework, projects, or experience in data analysis and writing.
- Tailor your resume and cover letter to emphasize skills and experiences relevant to this role.
- Prepare for the interview by researching Amazon's AI initiatives and being ready to discuss your approach to data analysis and writing.
ATS Keywords: Data Analysis, Content Generation, Annotation, Quality Assurance, Technical Writing, Problem Solving, Collaboration, Attention to Detail, AI, Machine Learning, Amazon, Boston
ASSUMPTION: The application process for this role may involve multiple stages, including a technical assessment or case study.
🛠️ Tools & Technologies
- Data analysis tools (e.g., Excel, R, Python).
- Writing and editing software (e.g., Microsoft Word, Google Docs).
- Project management tools (e.g., Asana, Jira).
ASSUMPTION: Familiarity with relevant data analysis tools and writing software is beneficial for this role.
👔 Cultural Fit Considerations
Company Values:
- Customer obsession.
- Passion for invention.
- Commitment to operational excellence.
- Long-term thinking.
Work Style:
- Collaborative and innovative.
- Fast-paced and dynamic.
- Focused on customer-centric solutions.
Self-Assessment Questions:
- Do you have a strong commitment to customer-centric solutions?
- Are you passionate about invention and continuous learning?
- Can you thrive in a fast-paced, dynamic environment?
ASSUMPTION: Amazon values employees who are passionate about customer-centric solutions, continuous learning, and working in a fast-paced environment.
⚠️ Potential Challenges
- The role may involve working with complex and ambiguous information, requiring strong analytical and decision-making skills.
- Working on-site in Boston may require relocation or commuting, depending on the applicant's current location.
- The role is a 6-month co-op, which may not be suitable for applicants seeking long-term employment.
- The role may require working with tight deadlines and managing multiple tasks simultaneously.
ASSUMPTION: Applicants should carefully consider the potential challenges and ensure they are a good fit for the role and its requirements.
📈 Similar Roles Comparison
- This role is similar to AI Content Specialist or Data Annotation Specialist positions in other companies.
- However, Amazon's size and resources may offer more opportunities for growth and exposure to cutting-edge AI projects.
- This role is an entry-level co-op position, while similar roles in other companies may be full-time or require more experience.
ASSUMPTION: Applicants should consider the unique aspects of this role at Amazon and how it compares to similar roles in other companies.
📝 Sample Projects
- Developing and annotating a dataset for a new AI model or application.
- Creating and editing content for a user manual or knowledge base article.
- Performing a quality audit of a large dataset and identifying areas for improvement.
ASSUMPTION: These sample projects illustrate the types of tasks and responsibilities involved in this role.
❓ Key Questions to Ask During Interview
- What are the most challenging aspects of this role, and how can I prepare for them?
- How does this role contribute to Amazon's AI and machine learning initiatives?
- What opportunities are there for growth and learning in this role?
- How does Amazon support work-life balance for its employees?
- What is the typical career path for someone in this role at Amazon?
ASSUMPTION: Applicants should ask thoughtful questions to demonstrate their interest in the role and gain a better understanding of the work environment.
📌 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 in data analysis and writing.
- Prepare for the interview by researching Amazon's AI initiatives and being ready to discuss your approach to data analysis and writing.
- Follow up with the hiring manager one week after the interview to express your interest in the role.
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
