AI Content Expert

📌 Core Information

🔹 Job Title: AI Content Expert

🔹 Company: Amazon

🔹 Location: Hyderabad, Telangana, India

🔹 Job Type: Fixed Term Contract (12 months)

🔹 Category: AI & Machine Learning

🔹 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
• Collaborating with scientists and engineers to improve 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 complex tasks and can thrive in a dynamic environment.

📋 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 independent work, requiring strong problem-solving skills and the ability to work with minimal supervision.

🎯 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
• 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 (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 in lieu of formal education. Strong English proficiency and relevant experience in data annotation or similar roles are crucial for success in this position.

💰 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, India)

Benefits:

• Medical, dental, and vision insurance
• 401(k) matching
• Paid time off (vacation, sick, and holidays)
• Maternity and paternity leave
• Employee discounts

Working Hours: Full-time (40 hours/week), with flexible scheduling and opportunities for remote work

ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and qualifications. Amazon offers competitive benefits packages, including health insurance, retirement plans, and paid time off.

📌 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 company with over 1,000,000 employees worldwide. This size offers opportunities for career growth and exposure to diverse projects but may also result in a more structured and hierarchical work environment.

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

Company Specialties:

• E-commerce and online retail
• Cloud computing and infrastructure (Amazon Web Services)
• Artificial intelligence and machine learning (Amazon AI)
• Digital assistants and voice technology (Alexa)
• Content creation and streaming (Amazon Studios, Prime Video, Prime Music)

Company Website: Amazon.com

ASSUMPTION: Amazon's large size and diverse business segments provide numerous opportunities for career growth and professional development. However, the company's fast-paced and dynamic environment may also present challenges in terms of work-life balance and adaptability.

📊 Role Analysis

Career Level: This role is at the mid-level career stage, requiring relevant experience and strong technical skills but still offering opportunities for growth and advancement.

Reporting Structure: The AI Content Expert will report directly to the Data Team Manager or a similar role within Amazon's AI organization.

Work Arrangement: This role is primarily on-site in Hyderabad, India, with opportunities for remote work and flexible scheduling.

Growth Opportunities:

• Advancement to Senior AI Content Expert or similar roles within the Data Team
• Transition to other roles within Amazon's AI organization, such as AI Scientist or Engineer
• Career progression to management or leadership positions within Amazon's Data Team or broader AI organization

ASSUMPTION: This role offers opportunities for career growth and development within Amazon's AI organization. Successful candidates will have the chance to work on cutting-edge projects and contribute to the development of Amazon's Large Language Models.

🌍 Location & Work Environment

Office Type: Amazon's Hyderabad office is a modern, collaborative workspace with state-of-the-art facilities and amenities.

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 rich history, cultural heritage, and technological advancements.
• Hyderabad offers a mix of traditional and modern amenities, with a lower cost of living compared to other major Indian cities.

Work Schedule: Full-time (40 hours/week), with flexible scheduling and opportunities for remote work

ASSUMPTION: Hyderabad offers a unique blend of traditional and modern amenities, making it an attractive location for both local and international candidates. The city's lower cost of living compared to other major Indian cities may also be appealing to candidates looking to maximize their earnings potential.

💼 Interview & Application Insights

Typical Process:

• Online application submission through Amazon's careers portal
• Phone or video screening with a recruiter or HR representative
• Technical assessment or take-home assignment to evaluate writing and research skills
• In-depth interviews with Data Team members and/or managers
• Final round interviews with senior leadership or hiring managers
• Background check and onboarding

Key Assessment Areas:

• Writing and research skills
• Attention to detail and ability to focus for extended periods
• Adaptability and flexibility in a fast-paced environment
• Cultural fit and alignment with Amazon's leadership principles

Application Tips:

• Tailor your resume and cover letter to highlight relevant experience and skills for this role
• Demonstrate your understanding of Amazon's mission, values, and leadership principles in your application materials
• Prepare for the technical assessment or take-home assignment by brushing up on your writing and research skills
• Research Amazon's AI organization and Large Language Models to show your enthusiasm and knowledge of the company's products and services

ATS Keywords: AI Content Expert, Data Analysis, Content Generation, Annotation, Writing Skills, Research Skills, Attention to Detail, Adaptability, Large Language Models, STEM Knowledge, Markup Languages, Scripting Languages, Regular Expressions

ASSUMPTION: Amazon's application process is competitive and rigorous, with a strong focus on assessing candidates' technical skills and cultural fit. Successful candidates will demonstrate a strong understanding of Amazon's products, services, and leadership principles, as well as exceptional writing and research skills.

🛠️ Tools & Technologies

• Amazon's proprietary data annotation and content generation tools
• Large Language Models (LLMs) and related frameworks (e.g., Hugging Face, Transformers)
• Markup languages (HTML, XML, Markdown)
• Standard text formats (JSON, CSV, RTF)
• Scripting languages (Python, JavaScript)
• Regular expressions syntax

ASSUMPTION: This role requires proficiency in using Amazon's proprietary data annotation and content generation tools, as well as familiarity with relevant markup languages, standard text formats, and scripting languages. Experience with Large Language Models and related frameworks is also beneficial.

👔 Cultural Fit Considerations

Company Values:

• Customer obsession
• Invent and simplify
• Learn and be curious
• Hire and develop the best
• Insist on the highest standards
• Think big
• Bias for action
• Frugality
• Earn trust

Work Style:

• Fast-paced and dynamic environment
• Collaborative and team-oriented culture
• Strong focus on innovation and continuous improvement
• Data-driven decision-making
• Results-oriented and customer-centric approach

Self-Assessment Questions:

• Do you have a strong passion for customer obsession and a commitment to operational excellence?
• Are you comfortable working in a fast-paced, dynamic environment with changing circumstances, direction, and strategy?
• Do you have a proven track record of adapting your writing style to suit various guidelines and customers?

ASSUMPTION: Successful candidates will demonstrate a strong alignment with Amazon's leadership principles and values, as well as a comfortable working style in a fast-paced, dynamic environment with a strong focus on innovation and continuous improvement.

⚠️ Potential Challenges

• Working with complex and sensitive content that may require sound judgment and logical decisions
• Adapting to a fast-paced environment with changing circumstances, direction, and strategy
• Meeting strict quality guidelines and standards for data annotation and content generation
• Potential exposure to repetitive tasks and long hours of focused work
• Competing with a large pool of highly qualified candidates for a limited number of positions

ASSUMPTION: This role presents unique challenges related to working with complex and sensitive content, adapting to a fast-paced environment, and maintaining strict quality guidelines. Successful candidates will be able to thrive in this dynamic work environment and demonstrate strong problem-solving skills and adaptability.

📈 Similar Roles Comparison

• Compared to other AI Content Expert roles, this position offers a unique opportunity to work with Amazon's Large Language Models and contribute to the development of cutting-edge AI technologies.
• Industry-standard salary ranges for AI Content Experts with 2-5 years of experience in Hyderabad, India, fall within the estimated range provided (INR 600,000 - 1,200,000 per annum).
• Career progression in this role may follow a similar path to other AI Content Expert positions, with opportunities for advancement to Senior AI Content Expert or related roles within Amazon's AI organization.

ASSUMPTION: This role offers a unique opportunity to work with Amazon's Large Language Models and contribute to the development of cutting-edge AI technologies. While the salary range and career progression may be similar to other AI Content Expert roles, the unique aspects of this position make it an attractive option for candidates interested in working with large-scale AI projects.

📝 Sample Projects

• Developing training data for Amazon's Large Language Models to improve their understanding of technical or science-related content
• Creating and annotating complex training data for Amazon's AI-powered virtual assistants, such as Alexa
• Contributing to the development of Amazon's AI-driven content creation tools for authors, publishers, and content creators

ASSUMPTION: These sample projects illustrate the diverse and innovative nature of the work performed by AI Content Experts within Amazon's AI organization. Successful candidates will have the opportunity to work on similar projects and contribute to the development of cutting-edge AI technologies.

❓ Key Questions to Ask During Interview

• Can you describe the specific Large Language Models that this role will be working with, and how the training data will be used to improve their capabilities?
• How does the Data Team collaborate with other teams within Amazon's AI organization, such as the AI Scientists and Engineers?
• What are the most challenging aspects of working with complex and sensitive content, and how does the team support each other in overcoming these challenges?
• What opportunities are there for career growth and development within the Data Team and Amazon's broader AI organization?
• How does Amazon support work-life balance for employees in this role, given the fast-paced and dynamic nature of the work?

ASSUMPTION: These key questions will help candidates better understand the specific aspects of the role, the work environment, and the opportunities for career growth and development within Amazon's AI organization.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through the Amazon Jobs portal
• Tailor your resume and cover letter to highlight your relevant experience and skills for this role
• Prepare for the technical assessment or take-home assignment by brushing up on your writing and research skills
• Research Amazon's AI organization and Large Language Models to show your enthusiasm and knowledge of the company's products and services
• Follow up with the hiring manager or recruiter 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.