📌 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: The role may involve working with sensitive or confidential information, requiring strong attention to detail and discretion.
🎯 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: 0-2 years of relevant experience (e.g., data annotation, content creation, or similar roles)
Required Skills:
- Strong analytical and problem-solving skills
- Excellent writing skills in English
- Ability to work independently and make informed decisions
- Familiarity with data annotation tools and processes
- Strong attention to detail and quality assurance skills
Preferred Skills:
- Experience with technical or scientific content
- Fluency in multiple languages
- Background in machine learning or artificial intelligence
ASSUMPTION: While not explicitly stated, proficiency in English is likely required for this role.
💰 Compensation & Benefits
Salary Range: $18 - $22 per hour (based on industry standards for AI content internships in Boston, MA)
Benefits:
- Paid internship with potential for full-time conversion
- On-site work arrangement with flexible hours
- Opportunity to work on cutting-edge AI projects
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 content internships in Boston, MA. Actual compensation may vary.
📌 Applicant Insights
🔍 Company Context
Industry: E-commerce and technology
Company Size: 10,001+ employees (Enterprise)
Founded: 1994 (as an online bookstore, later expanding into e-commerce, cloud computing, digital streaming, and artificial intelligence)
Company Description:
- Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence
- Known for its customer-centric approach, operational excellence, and long-term thinking
- Emphasizes innovation, invention, and continuous improvement
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 (Amazon Alexa, Amazon Go, Amazon Robotics)
Company Website: Amazon.com
ASSUMPTION: Amazon's size and diverse business segments offer numerous growth opportunities and career paths for employees.
📊 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, full-time (40 hours per week) for 6 months, from July to December 2025
Growth Opportunities:
- Potential full-time conversion upon successful completion of the internship
- Opportunity to work on high-impact projects and gain experience in AI and machine learning
- Exposure to various teams and business segments within Amazon
ASSUMPTION: This role offers a unique opportunity for students to gain practical experience in AI and machine learning while working for a large, innovative company.
🌍 Location & Work Environment
Office Type: Corporate office with collaborative workspaces
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
- Home to numerous tech companies and startups, offering ample networking opportunities
- Offers a diverse range of neighborhoods, amenities, and recreational activities
Work Schedule: Monday-Friday, 9:00 AM - 5:00 PM (with flexibility for project needs)
ASSUMPTION: The work environment is likely fast-paced, collaborative, and focused on innovation and continuous improvement.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with a hiring manager or HR representative
- Technical assessment or case study (e.g., data annotation task or writing sample)
- Final on-site or video interview with the Data Team
Key Assessment Areas:
- Writing skills and attention to detail
- Analytical and problem-solving skills
- Ability to work independently and make informed decisions
- Familiarity with data annotation tools and processes
Application Tips:
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role
- Demonstrate your understanding of AI and machine learning concepts in your application materials
- Showcase your ability to work independently and make sound judgments in your responses to interview questions
ATS Keywords: AI, content generation, data annotation, writing, grammar, technical content, problem-solving, decision-making, quality assurance
ASSUMPTION: The application process may involve multiple rounds of interviews and assessments to ensure the best fit for the role and the team.
🛠️ 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 projects and teams the intern works with during their co-op.
👔 Cultural Fit Considerations
Company Values:
- Customer obsession
- Passion for invention
- Commitment to operational excellence
- Long-term thinking
Work Style:
- Fast-paced and collaborative
- Focused on innovation and continuous improvement
- Data-driven decision-making
- Results-oriented and customer-centric
Self-Assessment Questions:
- Do you thrive in a fast-paced, collaborative environment?
- Are you passionate about solving complex problems and driving innovation?
- Do you have strong attention to detail and a commitment to quality?
- Are you comfortable working independently and making informed decisions?
ASSUMPTION: Amazon's company culture emphasizes customer focus, innovation, and operational excellence, requiring employees to be adaptable, results-driven, and customer-centric.
⚠️ Potential Challenges
- Working with complex and ambiguous information may be challenging at times
- Meeting tight deadlines and maintaining high-quality standards in a fast-paced environment
- Adapting to a large, dynamic organization with numerous teams and projects
- Competing with other interns for full-time conversion opportunities
ASSUMPTION: These challenges can be overcome with strong problem-solving skills, adaptability, and a commitment to continuous learning and improvement.
📈 Similar Roles Comparison
- Compared to other AI content roles, this co-op offers a unique opportunity to work on cutting-edge projects for a large, innovative company
- Industry-specific context: The AI content industry is growing rapidly, with increasing demand for high-quality training data
- Career path comparison: This role can lead to full-time conversion and potential career growth within Amazon's AI and machine learning teams
ASSUMPTION: This role offers a competitive advantage in terms of industry exposure, project impact, and career growth opportunities.
📝 Sample Projects
- Developing and annotating training data for Amazon's Large Language Models (LLMs) to improve their capabilities in understanding and generating human-like text
- Collaborating with scientists and engineers to review and update guidelines for data creation and annotation
- Identifying and implementing tooling improvements to enhance the efficiency and quality of data creation and annotation processes
ASSUMPTION: These sample projects are based on the job description and may vary depending on the specific needs and priorities of the Data Team.
❓ Key Questions to Ask During Interview
- What are the most pressing challenges facing the Data Team currently, and how can this role contribute to addressing them?
- How does this role fit into the broader context of Amazon's AI and machine learning initiatives?
- What opportunities are there for growth and professional development during this co-op?
- How does the Data Team collaborate and communicate with other teams within Amazon?
- What is the typical career path for someone in this role, and how can this co-op contribute to long-term career goals?
ASSUMPTION: Asking thoughtful, informed questions demonstrates your interest in the role and commitment to understanding the company's mission and values.
📌 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 a writing sample or portfolio demonstrating your ability to create high-quality, grammatically correct texts in different styles
- Prepare for a technical assessment or case study by brushing up on your data annotation skills and familiarizing yourself with relevant tools and processes
- Follow up with the hiring manager or HR representative within one week of submitting your application, expressing your interest in the role and asking any clarifying questions
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
