AI Content Expert

📌 Core Information

🔹 Job Title: AI Content Expert II

🔹 Company: Amazon

🔹 Location: Hyderabad, Telangana, India

🔹 Job Type: Fixed Term Contractual (12 months)

🔹 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 (text, image, video) on various topics, including technical or science-related content
• Working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data
• Making informed and high judgment decisions in each case, demonstrating strong research skills, attention to detail, and adaptability
• Contributing to the improvement and expansion of Amazon's Large Language Models' (LLMs) capabilities by delivering high-quality training data

ASSUMPTION: This role requires a strong understanding of U.S.-based culture, society, and norms, as well as familiarity with common markup languages and text formats, to effectively create and annotate diverse training data.

📋 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, requiring comfort and discretion in handling such materials.

🎯 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
• Comfortable with high-school level STEM
• 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
• 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, having experience with data analysis tools and understanding of machine learning concepts may be beneficial for this role.

💰 Compensation & Benefits

Salary Range: INR 6,00,000 - 12,00,000 per annum (Estimated based on industry standards for similar roles at Amazon)

Benefits:

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

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

ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles at Amazon. Actual compensation may vary based on factors such as skills, experience, and location.

📌 Applicant Insights

🔍 Company Context

Industry: E-commerce and Retail

Company Size: 10,001+ employees (Large enterprise)

Founded: 1994 (Headquarters: Seattle, WA, 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's mission is to be Earth's most customer-centric company, with a focus on delighting customers worldwide

Company Specialties:

• E-commerce platform and services
• Cloud computing (AWS)
• Artificial Intelligence and Machine Learning
• Consumer electronics (Kindle, Fire tablets, Echo devices)

Company Website: Amazon.com

ASSUMPTION: Working at Amazon offers opportunities for professional growth, exposure to cutting-edge technology, and a dynamic, fast-paced work environment.

📊 Role Analysis

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

Reporting Structure: This role reports directly to the Data Team Manager

Work Arrangement: On-site, with opportunities for flexible scheduling and remote work for specific tasks or projects

Growth Opportunities:

• Potential career progression to Senior AI Content Expert or similar roles within the Data Team
• Opportunities to work on diverse projects and collaborate with various teams, expanding skills and expertise
• Access to professional development resources and training programs

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

🌍 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, a state in southern India
• The city is known for its historical sites, cultural attractions, and thriving IT industry
• Hyderabad offers a mix of traditional and modern amenities, with a moderate cost of living

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

ASSUMPTION: Working in Hyderabad offers a unique blend of cultural experiences and professional opportunities, with a growing tech industry and a moderate cost of living.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening
• Behavioral and technical assessments
• Final round interviews with hiring managers and team members
• Background check and onboarding

Key Assessment Areas:

• Writing and communication skills
• Attention to detail and data quality assurance
• Problem-solving and decision-making abilities
• 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 mission, values, and leadership principles in your application materials
• Prepare examples of your writing and data annotation work to showcase your skills during interviews

ATS Keywords: AI Content Expert, Data Annotation, Training Data, Large Language Models, Writing Skills, Attention to Detail, Problem Solving, Amazon

ASSUMPTION: The application process for this role may involve multiple rounds of interviews and assessments, focusing on both technical skills and cultural fit.

🛠️ Tools & Technologies

• Amazon's proprietary data annotation and management tools
• Office Suite (Word, Excel, PowerPoint)
• Python or other scripting languages (for tooling improvement suggestions)
• Regular expressions syntax

ASSUMPTION: Familiarity with Amazon's proprietary tools and data annotation best practices is essential for success in this role.

👔 Cultural Fit Considerations

Company Values:

• Customer obsession
• Ownership
• 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, with a focus on innovation and continuous improvement
• Collaborative and team-oriented, with opportunities for cross-functional projects and learning
• Data-driven decision-making and a focus on delivering high-quality results

Self-Assessment Questions:

• Do you have a strong passion for creating high-quality training data and improving AI models?
• Are you comfortable working in a fast-paced, dynamic environment with changing priorities and tight deadlines?
• Do you thrive in a collaborative, team-oriented work culture that values innovation and continuous learning?

ASSUMPTION: Success in this role requires a strong cultural fit with Amazon's values and work style, as well as a passion for creating high-quality training data and a commitment to continuous learning and improvement.

⚠️ Potential Challenges

• Working with sensitive content may require comfort and discretion in handling such materials
• The fast-paced and dynamic work environment may present challenges for those who prefer a more stable or structured work environment
• The role may require working with complex and ambiguous information, which can be challenging for those who prefer clear and straightforward tasks
• The on-site work arrangement may present challenges for those who prefer remote or hybrid work arrangements

ASSUMPTION: While this role offers many opportunities for professional growth and skill development, it also presents unique challenges that require a strong cultural fit and adaptability.

📈 Similar Roles Comparison

• Compared to other data annotation roles, this position offers a unique focus on creating complex training data for Large Language Models, requiring a higher level of creativity and adaptability
• Industry-specific context: The AI content expert role is in high demand across various industries, with a focus on improving AI models and expanding their capabilities
• Career path comparison: This role can serve as a stepping stone to senior roles within Amazon's Data Team or related fields, such as Senior AI Content Expert, Data Scientist, or AI Engineer

ASSUMPTION: This role offers a unique opportunity to work with cutting-edge technology and contribute to the improvement of Amazon's Large Language Models, with potential career growth and skill development.

📝 Sample Projects

• Creating and annotating training data for a new Large Language Model focused on understanding and generating technical or scientific content
• Developing and implementing guidelines for data annotation best practices within Amazon's Data Team
• Identifying and reporting tooling bugs and suggesting improvements to enhance the data annotation process

ASSUMPTION: The sample projects listed are representative of the types of tasks and responsibilities associated with this role, focusing on creating high-quality training data and improving data annotation processes.

❓ 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 mission and long-term goals for Large Language Models?
• What opportunities are there for professional growth and skill development within this role and the Data Team?
• How does Amazon support work-life balance for on-site employees?
• What are the most challenging aspects of this role, and how can I best prepare for them?

ASSUMPTION: Asking thoughtful and insightful questions during the interview process demonstrates your interest in the role and commitment to understanding the work environment and cultural fit.

📌 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 skills and experiences for this role
• Prepare examples of your writing and data annotation work to showcase your skills during interviews
• Research Amazon's mission, values, and leadership principles to demonstrate your understanding and alignment with the company culture
• Follow up with the hiring manager one week after your final 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.