AI Content Expert

📌 Core Information

🔹 Job Title: AI Content Expert II

🔹 Company: Amazon

🔹 Location: Chennai, Tamil Nādu, India

🔹 Job Type: Fixed Term Contractual Role

🔹 Category: AI & Machine Learning

🔹 Date Posted: July 8, 2025

🔹 Experience Level: 2-5 years

🔹 Remote Status: On-site

🚀 Job Overview

Key aspects of this role include:

• Creating and annotating high-quality complex training data in multiple modalities
• Collaborating with scientists and engineers to improve data quality and identify tooling improvements
• Working in a fast-paced environment with changing circumstances and direction
• Adapting writing styles to suit various style guidelines and customers

ASSUMPTION: This role requires a high level of attention to detail, adaptability, and strong writing skills. It is ideal for individuals who can work independently and make sound judgments under ambiguous or incomplete information.

📋 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 involves a significant amount of data analysis and requires strong problem-solving skills. It may also involve working with sensitive content, so comfort and discretion are essential.

🎯 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

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.
• Comfortable with high-school level STEM
• 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
• Comfort in annotation work that may include sensitive content

ASSUMPTION: While a Bachelor's degree is preferred, relevant professional experience may be considered equivalent. Strong English proficiency is crucial for this role, as is the ability to understand and adapt to various writing styles and guidelines.

💰 Compensation & Benefits

Salary Range: INR 600,000 - 1,200,000 per annum (Estimated based on industry standards for AI Content Experts with 2-5 years of experience in India)

Benefits:

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

Working Hours: Full-time (40 hours per week), with flexible scheduling and overtime as needed

ASSUMPTION: The salary range provided is an estimate based on industry standards for AI Content Experts in India. Actual compensation may vary based on experience, skills, and other factors.

📌 Applicant Insights

🔍 Company Context

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

Company Size: Amazon is a large enterprise with over 10,000 employees, offering a structured environment with ample opportunities for growth and learning.

Founded: Amazon was founded in 1994 and has since grown into a global leader in its industries.

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 embraces new ways of doing things, makes decisions quickly, and is not afraid to fail.

Company Specialties:

• E-commerce and retail
• Technology and innovation
• Operations and logistics
• Customer experience

Company Website: Amazon.com

ASSUMPTION: Amazon's large size and global presence offer applicants a diverse range of opportunities and a dynamic work environment.

📊 Role Analysis

Career Level: This role is at the mid-level career stage, requiring a balance of technical skills and professional experience.

Reporting Structure: The AI Content Expert II reports directly to the Data Team, working closely with scientists and engineers.

Work Arrangement: This role is on-site, with flexible scheduling and the possibility of overtime as needed.

Growth Opportunities:

• Progression to senior roles within the Data Team or related departments
• Expansion of skills and expertise through collaboration with diverse teams and projects
• Potential to influence the development of Amazon's Large Language Models and contribute to the company's innovation efforts

ASSUMPTION: This role offers opportunities for professional growth and development within a large, innovative organization.

🌍 Location & Work Environment

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

Office Location(s): Chennai, Tamil Nādu, India

Geographic Context:

• Chennai is the capital of Tamil Nādu, a state in southern India, and is known for its rich cultural heritage and historical sites.
• The city offers a mix of traditional and modern amenities, with a vibrant food scene and numerous entertainment options.
• Chennai has a tropical savanna climate, with warm and humid weather throughout the year.

Work Schedule: Full-time (40 hours per week), with flexible scheduling and overtime as needed

ASSUMPTION: Chennai offers a unique blend of cultural experiences and modern amenities, providing a stimulating work environment for professionals.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening
• On-site or virtual interview with the hiring manager
• Final decision and offer

Key Assessment Areas:

• Writing and annotation skills
• Attention to detail and focus
• Adaptability and flexibility
• Problem-solving skills
• Cultural fit and alignment with Amazon's leadership principles

Application Tips:

• Tailor your resume and cover letter to highlight relevant skills and experiences for this role
• Demonstrate your understanding of Amazon's leadership principles and how you embody them in your work
• Prepare examples of your writing and annotation work to showcase during the interview

ATS Keywords: AI Content Expert, Data Annotation, Writing Skills, Attention to Detail, Adaptability, Problem Solving, Amazon Leadership Principles

ASSUMPTION: The application process for this role is likely to be competitive, so tailoring your application materials and preparing thoroughly for interviews is essential.

🛠️ Tools & Technologies

• Amazon's proprietary data annotation and content generation tools
• Python or other scripting languages
• Regular expressions syntax
• Large Language Models

ASSUMPTION: Familiarity with Amazon's proprietary tools and Large Language Models is beneficial for this role, as is proficiency in Python or another scripting language.

👔 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 adaptable
• Focused on innovation and continuous improvement
• Data-driven and analytical

Self-Assessment Questions:

• Do you have a strong commitment to customer obsession and a passion for invention?
• Are you comfortable working in a fast-paced, collaborative environment with changing circumstances and direction?
• Do you have a data-driven approach to problem-solving and decision-making?

ASSUMPTION: Amazon's culture values innovation, collaboration, and a customer-centric mindset. Applicants should assess their fit with these values and work styles before applying.

⚠️ Potential Challenges

• Working with complex and sensitive data may require additional discretion and attention to detail
• The fast-paced environment may be challenging for individuals who prefer a more structured or predictable work environment
• Adapting to various writing styles and guidelines may require additional effort and learning
• Working on-site in Chennai may present cultural and linguistic challenges for applicants from other regions

ASSUMPTION: Applicants should carefully consider these potential challenges and assess their ability to thrive in this work environment.

📈 Similar Roles Comparison

• Compared to other AI Content Expert roles, this position offers a unique blend of data annotation, content generation, and collaboration with scientists and engineers
• Amazon's large language models and proprietary tools provide a unique opportunity to work on cutting-edge technology in the AI and machine learning space
• This role offers a clear career path for professional growth and development within a large, innovative organization

ASSUMPTION: Applicants should consider the unique aspects of this role and how it aligns with their career goals and interests.

📝 Sample Projects

• Developing and annotating a dataset for a new Large Language Model, requiring a deep understanding of various topics and the ability to adapt writing styles
• Collaborating with engineers to improve data quality and identify tooling improvements, demonstrating strong problem-solving skills and attention to detail
• Creating and annotating high-quality complex training data for a specific industry or domain, showcasing your ability to adapt to various subject matters and guidelines

ASSUMPTION: These sample projects illustrate the diverse range of tasks and responsibilities associated with this role, highlighting the importance of adaptability and strong writing skills.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and dynamics within the Data Team?
• How does this role contribute to Amazon's broader AI and machine learning efforts?
• What opportunities are there for professional growth and development within this role?
• How does Amazon support work-life balance for its employees?
• What are the most challenging aspects of working in a fast-paced, collaborative environment, and how does Amazon address them?

ASSUMPTION: Asking thoughtful questions during the interview demonstrates your interest in the role and provides valuable insights into the work environment and company culture.

📌 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 examples of your writing and annotation work to showcase during the interview
• Research Amazon's leadership principles and be prepared to discuss how you embody them in your work
• Follow up with the hiring manager one week after your interview to express your continued interest in the role

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