PART-TIME: AI CONTENT WRITER, Artificial General Intelligence

📌 Core Information

🔹 Job Title: PART-TIME: AI CONTENT WRITER, Artificial General Intelligence

🔹 Company: Amazon

🔹 Location: Boston, Massachusetts, United States

🔹 Job Type: Part-Time

🔹 Category: Artificial Intelligence

🔹 Date Posted: 2025-05-22

🔹 Experience Level: 0-2 years

🔹 Remote Status: On-site (Boston, MA)

🚀 Job Overview

Key aspects of this role include:

• Working with various data types, including text, speech, audio, image, and video
• Delivering high-quality labelled data using provided guidelines and in-house tools
• Maintaining strict confidentiality and following Amazon's policies for securing confidential information
• Analyzing root causes, identifying error patterns, and proposing solutions to enhance labelling tasks and their outputs
• Providing operational support and clarifying internal queries as needed

ASSUMPTION: This role requires a high level of attention to detail, multitasking, and the ability to pivot between different categories of requirements quickly.

📋 Key Responsibilities

✅ Maintain and follow strict confidentiality as customer privacy is our most important tenet

✅ Work with a range of different types of data, including text, speech, audio, image, and video

✅ Deliver high-quality labelled data using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly

✅ Demonstrate proficiency in generating high-quality human insight data across a range of modalities, inclusive of text, image, video, and audio

✅ Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks

✅ Eye for detail and ability to pivot from one category of requirement to another instantaneously

✅ Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team

✅ Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs

✅ Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools, and suggest changes to unblock operations

✅ Demonstrate ownership in floor support to clarify internal queries during execution on need basis

ASSUMPTION: This role involves foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

🎯 Required Qualifications

Education: High school diploma or equivalent

Experience: 0-2 years of relevant experience

Required Skills:

• Attention to Detail
• Data Labeling
• Confidentiality
• Multi-tasking
• Problem Solving
• Analytical Skills
• Communication
• Creativity
• Judgment
• Operational Support

Preferred Skills:

• Experience with AI or machine learning
• Familiarity with Amazon's policies and procedures

ASSUMPTION: While a degree is not required, relevant experience and a strong portfolio demonstrating proficiency in generating high-quality human insight data across multiple modalities are essential for success in this role.

💰 Compensation & Benefits

Salary Range: $15 - $18 per hour (based on industry standards for part-time AI content writers in the Boston area)

Benefits:

• Paid time off
• Health, dental, and vision insurance
• 401(k) matching
• Employee discounts

Working Hours: 20-29 hours per week; Employees can make their own schedule during the hours of Monday– Friday from 8AM – 11:00PM and Saturday 9AM – 1PM

ASSUMPTION: The salary range provided is an estimate based on industry standards for part-time AI content writers in the Boston area. Actual compensation may vary based on experience, skills, and other factors.

📌 Applicant Insights

🔍 Company Context

Industry: Amazon operates in the e-commerce, retail, operations, and internet industries, with a focus on artificial intelligence and machine learning

Company Size: Amazon is a large corporation with over 10,000 employees, providing ample opportunities for growth and collaboration

Founded: Amazon was founded in 1994 and has since grown into a global leader in e-commerce and technology

Company Description:

• Amazon is guided by four principles: customer obsession rather than competitor focus, 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 embraces new ways of doing things, makes decisions quickly, and is not afraid to fail

Company Specialties:

• E-commerce
• Retail
• Operations
• Internet
• Artificial Intelligence
• Machine Learning

Company Website: https://www.amazon.com

ASSUMPTION: Amazon's focus on innovation and customer-centric approach makes it an attractive employer for individuals seeking a dynamic and challenging work environment.

📊 Role Analysis

Career Level: This role is an entry-level or junior position, ideal for individuals seeking to gain experience in AI content writing and data labeling

Reporting Structure: This role reports directly to the AI Content Writing team lead

Work Arrangement: This is a part-time, on-site position based in Boston, MA

Growth Opportunities:

• Potential to transition to a full-time role or take on more responsibilities as experience is gained
• Opportunities to work on diverse projects and collaborate with various teams within Amazon
• Access to training and development resources to enhance skills and advance career growth

ASSUMPTION: This role offers a unique opportunity to gain experience in AI content writing and data labeling while working for a global leader in e-commerce and technology.

🌍 Location & Work Environment

Office Type: Amazon's Boston office is a modern, collaborative workspace designed to foster innovation and creativity

Office Location(s): 2127 7th Ave., Seattle, WA 98109, US

Geographic Context:

• Boston is a vibrant, multicultural city with a rich history and a thriving tech industry
• The city offers a high quality of life, with excellent education, healthcare, and recreational opportunities
• Boston has a humid continental climate, with warm summers and cold, snowy winters

Work Schedule: Employees can make their own schedule during the hours of Monday– Friday from 8AM – 11:00PM and Saturday 9AM – 1PM

ASSUMPTION: The flexible work schedule and modern office environment provide an ideal work-life balance for individuals seeking part-time employment.

💼 Interview & Application Insights

Typical Process:

• Online application and resume submission
• Phone or video screening with the hiring manager
• In-person or virtual interview with the AI Content Writing team
• Background check and onboarding

Key Assessment Areas:

• Attention to detail and data labeling skills
• Problem-solving abilities and analytical thinking
• Communication and teamwork skills
• Creativity and innovation

Application Tips:

• Tailor your resume to highlight relevant skills and experience in AI content writing, data labeling, or a related field
• Prepare a cover letter that demonstrates your enthusiasm for AI and your commitment to maintaining customer privacy
• Be ready to provide examples of your work and explain how your skills and experience make you a strong fit for this role

ATS Keywords: AI content writer, data labeling, attention to detail, multitasking, problem-solving, confidentiality, Amazon

ASSUMPTION: The application process for this role is competitive, and applicants should be prepared to demonstrate their skills and qualifications through their resume, cover letter, and interview performance.

🛠️ Tools & Technologies

• Amazon's in-house tools and software for data labeling and analysis
• Microsoft Office Suite (Word, Excel, PowerPoint)
• Project management tools (e.g., Asana, Trello, Jira)

ASSUMPTION: Familiarity with Amazon's in-house tools and software is not required, as training will be provided.

👔 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 dynamic
• Focused on innovation and continuous improvement

Self-Assessment Questions:

• Do you share Amazon's commitment to customer obsession and long-term thinking?
• Are you comfortable working in a fast-paced, collaborative environment?
• Do you have a passion for invention and a commitment to operational excellence?

ASSUMPTION: Successful candidates will demonstrate a strong fit with Amazon's company values and work style, as well as a passion for AI and a commitment to maintaining customer privacy.

⚠️ Potential Challenges

• Working with sensitive customer data requires a high level of attention to detail and strict adherence to confidentiality policies
• The fast-paced work environment may be challenging for individuals who prefer a more structured or predictable work environment
• Part-time employees may have limited opportunities for career advancement compared to full-time employees
• The flexible work schedule may require employees to adjust their personal schedules to meet the needs of the team

ASSUMPTION: Successful candidates will be able to overcome these challenges and thrive in Amazon's dynamic and fast-paced work environment.

📈 Similar Roles Comparison

• This role is similar to other AI content writer and data labeling positions, but may require less experience and offer more flexibility in work hours
• Compared to other AI-focused roles, this position may have a greater emphasis on operational support and process improvement
• Career paths for AI content writers and data labelers may vary depending on the organization and industry

ASSUMPTION: Applicants should research similar roles and consider their own career goals when evaluating this opportunity.

📝 Sample Projects

• Labeling and annotating a dataset of customer reviews to improve sentiment analysis algorithms
• Creating a guidelines document for data labeling best practices to ensure consistency and quality across the team
• Developing a process for identifying and addressing bias in AI models to promote fairness and accountability

ASSUMPTION: These sample projects demonstrate the range of tasks and responsibilities associated with this role, and provide insight into the types of projects that successful candidates may work on.

❓ Key Questions to Ask During Interview

• What are the most challenging aspects of this role, and how can I best prepare to succeed in them?
• How does this role fit into the broader AI and machine learning initiatives at Amazon?
• What opportunities are there for growth and development within the AI Content Writing team and Amazon more broadly?
• How does Amazon support work-life balance for part-time employees?
• What is the team's approach to collaboration and communication, and how can I contribute to a positive and productive work environment?

ASSUMPTION: These questions demonstrate a proactive and engaged approach to the interview process, and will help applicants better understand the role and the company.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume to highlight relevant skills and experience in AI content writing, data labeling, or a related field
• Prepare a cover letter that demonstrates your enthusiasm for AI and your commitment to maintaining customer privacy
• Be ready to provide examples of your work and explain how your skills and experience make you a strong fit for this role
• Follow up with the hiring manager one week after your interview to express your continued interest in the position

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.