AI Content Expert

📌 Core Information

🔹 Job Title: AI Content Expert II

🔹 Company: Amazon

🔹 Location: Hyderabad, Telangana, India

🔹 Job Type: Fixed Term Contract (12 months)

🔹 Category: Data & Analytics

🔹 Date Posted: July 10, 2025

🔹 Experience Level: 2-5 years

🔹 Remote Status: On-site (Hyderabad, India)

🚀 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
• Collaborating with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data
• Working in a fast-paced environment with changing circumstances, direction, and strategy
• Delivering high-quality work while maintaining strict confidentiality and following all applicable Amazon policies for securing confidential information

ASSUMPTION: This role requires a high level of attention to detail, strong research skills, and the ability to adapt writing styles to suit various guidelines and customers.

📋 Key Responsibilities

✅ 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

✅ Diving deep into issues and implementing solutions independently

✅ Identifying and reporting tooling bugs and suggesting improvements

ASSUMPTION: This role may involve working with sensitive content and requires comfort with high-school level STEM knowledge.

🎯 Required Qualifications

Education: Bachelor’s degree in a relevant field or equivalent professional experience

Experience: 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.

Required Skills:

• Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
• Excellent attention to details and ability to focus for a long period of time
• Ability to effectively write and evaluate diverse subject matter across various domains
• Ability to adapt writing style to suit various style guidelines and customers.
• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
• Comfortable with high-school level STEM knowledge
• Ability to maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information

Preferred Skills:

• Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
• Experience with creating complex data for LLM training and evaluation
• Strong understanding of U.S.-based culture, society, and norms.
• Familiarity with common markup languages such as HTML, XML, Markdown
• Familiarity with common standard text formats such as JSON, CSV, RTF
• Working knowledge of Python or another scripting language
• Familiarity with regular expressions syntax
• Familiarity with Large Language Models

ASSUMPTION: While not explicitly stated, it is assumed that candidates should have strong problem-solving skills and the ability to work independently.

💰 Compensation & Benefits

Salary Range: INR 600,000 - 1,200,000 per annum (Estimated based on industry standards for similar roles in India)

Benefits:

• Medical, dental, and vision insurance
• Retirement savings plan
• Paid time off and holidays
• Maternity and paternity leave
• Employee discounts

Working Hours: Full-time (40 hours/week) with flexible scheduling

ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles in India. The actual salary may vary based on the candidate's experience and qualifications.

📌 Applicant Insights

🔍 Company Context

Industry: Amazon operates in the e-commerce, retail, and technology sectors, with a focus on innovation and customer obsession.

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 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 is committed to being Earth's most customer-centric company and embraces new ways of doing things, making decisions quickly, and not being afraid to fail.

Company Specialties:

• E-commerce and retail
• Operations and logistics
• Software development and technology

Company Website: Amazon.com

ASSUMPTION: Amazon's large size and global presence offer numerous opportunities for career growth and development.

📊 Role Analysis

Career Level: This role is at the intermediate level, requiring a balance of technical skills and domain knowledge.

Reporting Structure: The AI Content Expert II will report directly to the Data Team Manager.

Work Arrangement: This is an on-site role based in Hyderabad, India, with the possibility of remote work for qualified candidates.

Growth Opportunities:

• Potential career progression to Senior AI Content Expert or similar roles within the Data Team
• Opportunities to work on diverse projects and gain exposure to various aspects of Amazon's business
• Access to training and development resources to enhance skills and advance career growth

ASSUMPTION: This role offers opportunities for professional development and growth within Amazon's Data Team.

🌍 Location & Work Environment

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

Office Location(s): Hyderabad, Telangana, India

Geographic Context:

• Hyderabad is the capital city of Telangana, a state in southern India
• The city is known for its historical sites, cultural events, and thriving IT industry
• Hyderabad offers a mix of traditional Indian culture and modern urban living

Work Schedule: Full-time (40 hours/week) with flexible scheduling and potential for overtime during peak periods

ASSUMPTION: Hyderabad provides a vibrant and culturally rich environment for professionals, with ample opportunities for personal and professional growth.

💼 Interview & Application Insights

Typical Process:

• Online application and resume screening
• Phone or video screening with a recruiter
• Technical assessment or case study
• On-site or virtual interview with the hiring manager and team members
• Final decision and offer

Key Assessment Areas:

• Writing and research skills
• Attention to detail and problem-solving abilities
• Cultural fit and alignment with Amazon's leadership principles
• Adaptability and ability to work in a fast-paced environment

Application Tips:

• Tailor your resume to highlight relevant skills and experiences related to the job description
• Prepare a cover letter that demonstrates your understanding of the role and your fit for the company
• If applicable, provide examples of your writing and annotation work to showcase your skills
• Research Amazon's company culture and leadership principles to prepare for behavioral interview questions

ATS Keywords: AI, Content Generation, Annotation, Data Analysis, Research Skills, Attention to Detail, Writing Skills, STEM, Adaptability, Markup Languages, Scripting Languages, Large Language Models, Problem Solving, Confidentiality, Creativity, Customer Obsession, Inventive, Operational Excellence, Long-Term Thinking

ASSUMPTION: The application process for this role may take several weeks, depending on the volume of applicants and the hiring team's availability.

🛠️ Tools & Technologies

• Markup languages (HTML, XML, Markdown)
• Standard text formats (JSON, CSV, RTF)
• Python or other scripting languages
• Regular expressions syntax
• Large Language Models
• Amazon-specific tools and platforms

ASSUMPTION: Familiarity with Amazon's proprietary tools and platforms may be required for this role.

👔 Cultural Fit Considerations

Company Values:

• Customer obsession
• Passion for invention
• Commitment to operational excellence
• Long-term thinking

Work Style:

• Fast-paced and dynamic environment
• Collaborative and team-oriented culture
• Focus on innovation and continuous improvement
• Strong emphasis on customer-centricity

Self-Assessment Questions:

• Do you have a strong passion for creating high-quality content and ensuring its accuracy?
• Are you comfortable working in a fast-paced environment with changing circumstances, direction, and strategy?
• Do you possess strong problem-solving skills and the ability to work independently?

ASSUMPTION: Candidates who align with Amazon's values and work style are more likely to succeed in this role.

⚠️ Potential Challenges

• Working with sensitive content may require comfort and adaptability
• The fast-paced nature of the role may demand flexibility and quick decision-making
• The on-site requirement may limit opportunities for remote work or flexible scheduling
• Competition for roles within Amazon's Data Team may be high, given the company's size and global presence

ASSUMPTION: Addressing these challenges proactively and demonstrating adaptability will be crucial for success in this role.

📈 Similar Roles Comparison

• Compared to other AI Content Expert roles, this position may offer more exposure to diverse topics and modalities, given Amazon's broad range of products and services
• Industry-specific context: Amazon's focus on customer obsession and innovation sets it apart from other companies in the e-commerce and retail sectors
• Career path comparison: This role may offer opportunities for growth within Amazon's Data Team or related departments, given the company's size and global presence

ASSUMPTION: Understanding the unique aspects of this role and how it compares to similar positions in the industry will help candidates tailor their applications and prepare for interviews.

📝 Sample Projects

• Developing and annotating a dataset for training a Large Language Model to generate customer reviews for Amazon's product catalog
• Creating and annotating a dataset for evaluating the quality of Amazon's virtual assistant, Alexa
• Working on a project to improve the accuracy of Amazon's product search and recommendation algorithms by creating and annotating high-quality training data

ASSUMPTION: Familiarity with these or similar projects will demonstrate the candidate's understanding of the role's requirements and their ability to contribute to Amazon's ongoing initiatives.

❓ Key Questions to Ask During Interview

• Can you describe a recent project that required me to make high-level judgments and logical decisions, and how did you approach it?
• How does the team structure for this role support collaboration and knowledge sharing?
• What aspects of Amazon's company culture resonate with you the most, and how do you think you can contribute to maintaining that culture?
• What opportunities are there for growth and development within this role and the Data Team?
• How does Amazon support work-life balance for employees in this role?

ASSUMPTION: Asking thoughtful and insightful questions during the interview process will help candidates better understand the role and assess their fit for 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 experiences related to the job description
• Prepare a cover letter that demonstrates your understanding of the role and your fit for the company
• If applicable, provide examples of your writing and annotation work to showcase your skills
• Follow up with the hiring team one week after submitting your application to inquire about the status of your application

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