AI Content Expert

📌 Core Information

🔹 Job Title: AI Content Expert

🔹 Company: Amazon

🔹 Location: Hyderabad, Telangana, India

🔹 Job Type: Contract (12 months)

🔹 Category: AI & Machine Learning

🔹 Date Posted: July 10, 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 ensure data quality and identify tooling improvements
• Adapting writing styles to suit various guidelines and customers
• Working in a fast-paced environment with changing circumstances and strategy

ASSUMPTION: This role requires a high level of attention to detail, adaptability, and strong writing skills. It is ideal for candidates who enjoy working in a dynamic environment and can make informed decisions under ambiguity.

📋 Key Responsibilities

✅ Create and annotate high-quality complex training data in multiple modalities (text, image, video) 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 problem-solving. Candidates should be comfortable working with complex information and making informed decisions.

🎯 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:

• Excellent attention to detail 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
• Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e., plagiarism

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 writing skills and attention to detail are crucial for this role.

💰 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 Hyderabad)

Benefits:

• Health, vision, and dental insurance
• Retirement savings plan
• Generous paid time off
• On-site services and amenities

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

ASSUMPTION: The salary range is estimated based on industry standards for AI Content Experts with similar experience levels in Hyderabad. Actual compensation may vary based on factors such as skills, experience, and qualifications.

📌 Applicant Insights

🔍 Company Context

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

Company Size: Amazon is a large company with over 10,000 employees worldwide. This size offers opportunities for growth and exposure to diverse projects but may also have more bureaucracy than smaller companies.

Founded: Amazon was founded in 1994 by Jeff Bezos and is headquartered in Seattle, Washington, USA. It has since grown into a global e-commerce and technology giant.

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
• Retail
• Operations
• Internet
• Technology

Company Website: Amazon.com

ASSUMPTION: Amazon's large size and global presence offer numerous opportunities for career growth and exposure to diverse projects. However, the company's fast-paced environment may also present challenges in terms of work-life balance and adaptability.

📊 Role Analysis

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

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

Work Arrangement: This is an on-site role with the potential for flexible scheduling and remote work arrangements for specific projects or tasks.

Growth Opportunities:

• Progression to senior roles within the Data Team or related departments
• Expansion of skills and expertise through working on diverse projects
• Potential internal transfers to other teams or departments within Amazon

ASSUMPTION: This role offers opportunities for career growth and skill development within Amazon's Data Team and related departments.

🌍 Location & Work Environment

Office Type: Amazon's Hyderabad office is a modern, collaborative workspace with on-site amenities and services.

Office Location(s): Hyderabad, Telangana, India

Geographic Context:

• Hyderabad is the capital of Telangana state and is known for its historical sites, cultural events, and IT industry.
• The city offers a mix of traditional and modern amenities, with a cost of living that is generally lower than other major Indian cities.
• Hyderabad has a tropical wet and dry climate, with hot summers and mild winters.

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

ASSUMPTION: Hyderabad offers a unique blend of historical and modern amenities, with a lower cost of living compared to other major Indian cities. The city's tropical climate may be a consideration for some candidates.

💼 Interview & Application Insights

Typical Process:

• Online application and resume screening
• Phone or video screening with the hiring manager
• On-site or virtual interview with the Data Team Manager and other team members
• Background check and offer extension

Key Assessment Areas:

• Writing and communication skills
• Attention to detail and data analysis skills
• Problem-solving and decision-making abilities
• Cultural fit and adaptability

Application Tips:

• Tailor your resume and cover letter to highlight relevant skills and experiences for this role
• Demonstrate your understanding of Amazon's values and commitment to customer obsession
• Prepare examples of your writing work, including complex data annotations and evaluations

ATS Keywords: AI, Content Expert, Data Annotation, Writing Skills, Attention to Detail, Problem Solving, Adaptability, Customer Obsession, Data Analysis, Large Language Models

ASSUMPTION: The interview process for this role will focus on assessing writing and communication skills, attention to detail, and cultural fit. Candidates should be prepared to provide examples of their work and demonstrate their understanding of Amazon's values.

🛠️ Tools & Technologies

• Amazon Web Services (AWS) platform
• Large Language Models (LLMs)
• Python or other scripting languages
• Markup languages such as HTML, XML, Markdown
• Standard text formats such as JSON, CSV, RTF

ASSUMPTION: This role requires proficiency in writing and data analysis skills, as well as familiarity with common markup languages and standard text formats. Experience with Large Language Models and Python or other scripting languages is preferred.

👔 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
• Data-driven decision-making

Self-Assessment Questions:

• How do you demonstrate customer obsession in your daily work?
• How do you adapt to fast-paced environments with changing circumstances, direction, and strategy?
• How do you ensure the quality and accuracy of your work, especially when faced with ambiguous or incomplete information?

ASSUMPTION: Amazon values candidates who are passionate about invention, committed to operational excellence, and able to adapt to a fast-paced, dynamic work environment. Strong writing and communication skills, as well as attention to detail, are crucial for this role.

⚠️ Potential Challenges

• Working with complex data and making informed decisions under ambiguity
• Adapting to a fast-paced environment with changing circumstances, direction, and strategy
• Managing workload and maintaining work-life balance in a full-time on-site role
• Exposure to sensitive content during data annotation and evaluation

ASSUMPTION: This role presents challenges in terms of working with complex data, adapting to a fast-paced environment, and managing workload. Candidates should be comfortable working with sensitive content and able to maintain work-life balance in a full-time on-site role.

📈 Similar Roles Comparison

• Compared to other AI Content Expert roles, this position offers a unique blend of technical and creative writing skills, with a focus on data analysis and problem-solving.
• In the broader AI & Machine Learning industry, this role is competitive in terms of salary, benefits, and growth opportunities.
• Career paths for AI Content Experts may include progression to senior roles within the Data Team or related departments, as well as potential internal transfers to other teams or departments within Amazon.

ASSUMPTION: This role offers a unique blend of technical and creative writing skills, with a focus on data analysis and problem-solving. Compared to similar roles in the AI & Machine Learning industry, this position is competitive in terms of salary, benefits, and growth opportunities.

📝 Sample Projects

• Developing and annotating a dataset for training a Large Language Model to generate coherent and contextually relevant responses to customer inquiries
• Evaluating and refining an existing dataset to improve the performance of a sentiment analysis model
• Creating and annotating a dataset for training a model to generate human-like text for marketing and advertising purposes

ASSUMPTION: These sample projects illustrate the range of tasks and responsibilities for an AI Content Expert, focusing on data analysis, problem-solving, and creative writing skills.

❓ Key Questions to Ask During Interview

• Can you describe a typical day in the life of an AI Content Expert on your team?
• How does the Data Team collaborate with other departments within Amazon?
• What opportunities are there for professional growth and development within the Data Team?
• How does Amazon support work-life balance for its employees?
• Can you provide an example of a challenging data annotation or evaluation task that the team has faced, and how it was addressed?

ASSUMPTION: These interview questions are designed to assess the work environment, team dynamics, and growth opportunities for the AI Content Expert role at Amazon.

📌 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 work, including complex data annotations and evaluations
• Follow up with the hiring manager one week after submission 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.