AI Content Expert

📌 Core Information

🔹 Job Title: AI Content Expert

🔹 Company: Amazon

🔹 Location: Hyderabad, Telangana, India

🔹 Job Type: Fixed Term Contractor

🔹 Category: Data & Analytics

🔹 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, direction, and strategy

ASSUMPTION: This role requires a high level of attention to detail, adaptability, and the ability to make informed decisions under ambiguity.

📋 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: The role may involve working with sensitive content, requiring comfort and discretion.

🎯 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 details and ability to focus for a long period of time
• Ability to effectively write and evaluate diverse subject matter across various domains
• Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources
• Understanding of basic academic integrity, i.e., plagiarism
• 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 not explicitly stated, proficiency in English is likely a strong requirement for this role.

💰 Compensation & Benefits

Salary Range: INR 600,000 - 1,200,000 per annum (Estimated based on industry standards for AI Content Experts in Hyderabad)

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

ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles in Hyderabad. Actual compensation may vary based on experience and performance.

📌 Applicant Insights

🔍 Company Context

Industry: E-commerce and Technology

Company Size: 10,001+ employees (Global), with a significant presence in Hyderabad

Founded: 1994 (Amazon was founded in Bellevue, WA, USA, and has since expanded globally)

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's mission is to be Earth's most customer-centric company

Company Specialties:

• E-commerce platform
• Cloud computing services (AWS)
• Digital streaming services (Prime Video, Music, etc.)
• Artificial Intelligence and Machine Learning

Company Website: Amazon.com

ASSUMPTION: Amazon's global presence and diverse business segments offer numerous growth opportunities for employees.

📊 Role Analysis

Career Level: Mid-level (2-5 years of experience)

Reporting Structure: This role reports directly to the Data Team, working closely with scientists and engineers

Work Arrangement: On-site, with potential for flexible scheduling

Growth Opportunities:

• Potential to work on diverse projects and expand skills
• Opportunities to collaborate with cross-functional teams
• Possibility to transition into other roles within the Data Team or broader Amazon organization

ASSUMPTION: Given Amazon's size and diversity, there are ample opportunities for career growth and development.

🌍 Location & Work Environment

Office Type: Corporate office with a modern, collaborative work environment

Office Location(s): Hyderabad, Telangana, India

Geographic Context:

• Hyderabad is the capital of Telangana and the fourth most populous city in India
• The city is known for its historical sites, cultural landmarks, and thriving IT industry
• 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 per week), with flexible scheduling

ASSUMPTION: Hyderabad's vibrant IT industry and lower cost of living make it an attractive location for professionals.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening
• Technical assessment (data annotation or writing task)
• Behavioral and cultural fit interview
• Final round with hiring manager

Key Assessment Areas:

• Attention to detail and data annotation skills
• Writing proficiency and adaptability
• Problem-solving skills and decision-making under ambiguity
• Cultural fit and alignment with Amazon's leadership principles

Application Tips:

• Tailor your resume and cover letter to highlight relevant skills and experiences
• Demonstrate your understanding of data annotation and writing guidelines in your application materials
• Prepare for behavioral interview questions using the STAR method (Situation, Task, Action, Result)

ATS Keywords: Data Annotation, Content Generation, Data Analysis, Research Skills, Attention to Detail, Writing Skills, Adaptability, STEM Knowledge, Markup Languages, Scripting Languages, Regular Expressions, Large Language Models, Quality Assurance, Problem Solving, Confidentiality, Creativity

ASSUMPTION: The interview process may vary based on the specific role and team requirements.

🛠️ Tools & Technologies

• Data annotation tools (e.g., Amazon SageMaker Ground Truth, Labelbox, VGG Image Annotator)
• Markup languages (e.g., HTML, XML, Markdown)
• Standard text formats (e.g., JSON, CSV, RTF)
• Scripting languages (e.g., Python)
• Regular expressions syntax
• Large Language Models (e.g., Amazon's own LLMs, open-source models like BERT, RoBERTa)

ASSUMPTION: The specific tools and technologies used may vary based on the team's needs and the project at hand.

👔 Cultural Fit Considerations

Company Values:

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

Work Style:

• Fast-paced and dynamic
• Collaborative and cross-functional
• Data-driven and customer-centric

Self-Assessment Questions:

• Do you thrive in fast-paced environments with changing circumstances, direction, and strategy?
• Are you comfortable working with sensitive content and maintaining confidentiality?
• Do you have a strong customer focus and a passion for invention?

ASSUMPTION: Amazon's culture is fast-paced, innovative, and customer-centric, requiring employees to be adaptable, detail-oriented, and customer-focused.

⚠️ Potential Challenges

• Working with complex and ambiguous data may be challenging
• Adapting to frequent changes in guidelines and direction may require flexibility and resilience
• The role may involve working with sensitive content, requiring comfort and discretion
• Hyderabad's traffic and cost of living may pose challenges for some applicants

ASSUMPTION: These challenges can be mitigated by strong communication, adaptability, and a willingness to learn and grow in the role.

📈 Similar Roles Comparison

• Compared to other data annotation roles, this position requires a higher level of adaptability and decision-making
• Amazon's global presence and diverse business segments offer more growth opportunities than smaller companies
• Career paths in Amazon's Data Team may differ from those in other organizations, with more focus on data-driven decision-making and innovation

ASSUMPTION: While this role shares similarities with other data annotation positions, its unique requirements and Amazon's culture set it apart.

📝 Sample Projects

• Developing and annotating high-quality training data for Amazon's own Large Language Models
• Collaborating with scientists and engineers to improve data quality and tooling
• Creating and evaluating complex data for LLM training and evaluation, such as dialogue evaluation on speech, text, audio, and video data

ASSUMPTION: These sample projects illustrate the diverse and complex nature of the AI Content Expert role at Amazon.

❓ Key Questions to Ask During Interview

• What are the most challenging aspects of this role, and how can I best prepare for them?
• How does this role contribute to Amazon's broader data initiatives and AI strategies?
• What opportunities are there for growth and development within the Data Team and Amazon as a whole?
• How does Amazon support work-life balance for on-site employees?
• What are the most important qualities for success in this role, and how can I demonstrate them during the interview process?

ASSUMPTION: Asking these questions demonstrates your interest in the role and commitment to understanding its requirements and opportunities.

📌 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, emphasizing your attention to detail, adaptability, and writing proficiency
• Prepare for data annotation and writing assessments by practicing with sample tasks
• Research Amazon's leadership principles and be prepared to discuss how you embody them
• Follow up with the hiring manager one week after your final interview to express your enthusiasm and reiterate your qualifications

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