AI Content Expert

📌 Core Information

🔹 Job Title: AI Content Expert II

🔹 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 (text, image, video) on various topics, including technical or science-related content.
• Collaborating with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
• Working in a fast-paced environment with changing circumstances, direction, and strategy.
• Contributing to the improvement and expansion of Amazon's Large Language Models' (LLMs) capabilities.

ASSUMPTION: This role requires a high level of attention to detail, strong research skills, and the ability to adapt writing styles to suit various guidelines and customers.

📋 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 working with sensitive content and maintaining strict confidentiality, following all applicable Amazon policies for securing confidential information.

🎯 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.
• 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 required, equivalent professional experience will also be considered. Strong English proficiency is crucial for this role, as it involves creating and annotating data for U.S.-based customers.

💰 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.
• Retirement savings plan with company match.
• Paid time off and holidays.
• Maternity and paternity leave.
• Employee discounts on Amazon products.

Working Hours: Full-time, 40 hours per week. Flexible hours may be available based on team needs.

ASSUMPTION: The salary range provided is an estimate based on industry standards for AI Content Experts with 2-5 years of experience in Hyderabad, India. Actual compensation may vary based on factors such as skills, experience, and business needs.

📌 Applicant Insights

🔍 Company Context

Industry: E-commerce, Retail, and Technology

Company Size: 10,001+ employees. Working at Amazon means being part of a large, global organization with diverse teams and opportunities for growth.

Founded: 1994. Amazon was founded by Jeff Bezos and has since grown into a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Company Description:

• Amazon is guided by four principles: customer obsession rather than competitor focus, 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
• Cloud Computing
• Digital Streaming
• Artificial Intelligence

Company Website: Amazon.com

ASSUMPTION: Amazon's size and diverse business segments offer numerous opportunities for career growth and development within the company.

📊 Role Analysis

Career Level: Mid-level. This role requires 2-5 years of experience and offers opportunities for growth within the Data Team.

Reporting Structure: This role reports directly to the Data Team Lead and works closely with scientists and engineers to ensure high-quality data for Amazon's Large Language Models.

Work Arrangement: On-site, full-time. This role requires working on-site in Hyderabad, India, with the possibility of flexible hours based on team needs.

Growth Opportunities:

• Advancement within the Data Team or related departments based on performance and demonstrated skills.
• Cross-functional collaboration with other teams to gain a broader understanding of Amazon's business and technologies.
• Professional development opportunities, such as training and workshops, to enhance skills and knowledge.

ASSUMPTION: This role offers opportunities for career growth within Amazon's Data Team and related departments, as well as the chance to work on cutting-edge technologies in the field of artificial intelligence.

🌍 Location & Work Environment

Office Type: Corporate office. Amazon's Hyderabad office is a modern, collaborative workspace designed to facilitate innovation and productivity.

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 rich history, culture, and technology industry.
• Hyderabad offers a mix of traditional and modern amenities, with a wide range of housing options, educational institutions, and entertainment venues.

Work Schedule: Full-time, 40 hours per week. Flexible hours may be available based on team needs.

ASSUMPTION: Working in Hyderabad offers a unique blend of traditional Indian culture and modern urban living, with ample opportunities for professional growth and development within Amazon's Data Team.

💼 Interview & Application Insights

Typical Process:

• Online application submission.
• Phone or video screening to assess communication skills and cultural fit.
• Technical assessment to evaluate data analysis, writing, and research skills.
• Final-round interview with the hiring manager and team members to discuss the role, responsibilities, and company culture.

Key Assessment Areas:

• Writing and communication skills.
• Attention to detail and data analysis skills.
• Research skills and ability to gather relevant information.
• Cultural fit and alignment with Amazon's leadership principles.

Application Tips:

• Tailor your resume to highlight relevant skills and experiences related to data analysis, writing, and research.
• Prepare a cover letter that demonstrates your enthusiasm for the role and explains how your background and skills make you a strong fit for the position.
• Be prepared to discuss your approach to data analysis, writing, and research, as well as your ability to work in a fast-paced environment.
• Familiarize yourself with Amazon's leadership principles and be ready to discuss how you embody them in your work.

ATS Keywords: Data analysis, writing, research, attention to detail, fast-paced environment, Amazon leadership principles, AI content expert, data annotation, data markup, data quality, tooling improvement, data-driven decision making, customer-centric, innovation, invention, operational excellence, long-term thinking

ASSUMPTION: The interview process for this role is designed to assess your skills and cultural fit for the Data Team, with a focus on writing, communication, and data analysis abilities.

🛠️ Tools & Technologies

• Amazon Web Services (AWS) platform.
• Large Language Models (LLMs) and related technologies.
• Data annotation and markup tools (e.g., Labelbox, VGG Image Annotator, Datasaurus).
• Python or other scripting languages for data manipulation and analysis.
• Regular expressions syntax for pattern matching and text manipulation.

ASSUMPTION: This role requires familiarity with data annotation and markup tools, as well as proficiency in Python or another scripting language for data manipulation and analysis.

👔 Cultural Fit Considerations

Company Values:

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

Work Style:

• Fast-paced and dynamic, with a focus on innovation and continuous improvement.
• Collaborative and team-oriented, with a strong emphasis on customer-centric decision making.
• Data-driven and analytical, with a focus on using data to inform business decisions.

Self-Assessment Questions:

• Do you have a strong passion for invention 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 excellent writing, reading, and comprehension skills in English (C1 level in the Common European Framework CEFR scale)?
• Are you comfortable working with sensitive content and maintaining strict confidentiality?

ASSUMPTION: Amazon's company values and work style emphasize customer obsession, passion for invention, commitment to operational excellence, and long-term thinking. Candidates should be comfortable working in a fast-paced, dynamic environment and have strong English proficiency.

⚠️ Potential Challenges

• Working with sensitive content may require additional training and support to maintain confidentiality and follow Amazon's policies.
• The fast-paced nature of the role may present challenges for candidates who prefer a more stable or predictable work environment.
• The role may require working with complex data and tools, which could present learning curves and technical challenges.
• As a contractor role, there may be limited opportunities for career growth and benefits compared to full-time employees.

ASSUMPTION: While this role offers numerous opportunities for professional growth and development, candidates should be aware of the potential challenges related to working with sensitive content, the fast-paced work environment, and the limited benefits of a contractor position.

📈 Similar Roles Comparison

• Compared to related roles in data annotation and content creation, this position offers a unique focus on creating complex training data for Amazon's Large Language Models.
• As a contractor role, this position may have different benefits and career growth opportunities compared to full-time positions within Amazon's Data Team.
• This role requires a higher level of attention to detail and research skills than many entry-level data annotation positions, but it also offers more opportunities for career growth and development within Amazon's Data Team.

ASSUMPTION: This role offers a unique blend of data annotation, content creation, and research skills, with a focus on creating complex training data for Amazon's Large Language Models. Candidates should consider the benefits and challenges of a contractor position compared to full-time roles within Amazon's Data Team.

📝 Sample Projects

• Creating and annotating a dataset of technical or science-related content, including complex data structures and relationships.
• Developing a style guide for writing in different styles and tones, with a focus on maintaining consistency and accuracy across various modalities (text, image, video).
• Performing a comprehensive audit and quality check of a large dataset, identifying and addressing inconsistencies and inaccuracies in the data.

ASSUMPTION: These sample projects demonstrate the range of responsibilities and skills required for the AI Content Expert II role, with a focus on creating and annotating complex training data, maintaining data quality, and working with various modalities.

❓ 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 overall strategy and goals for improving and expanding its Large Language Models?
• What are the most challenging aspects of working with complex data and maintaining data quality in this role?
• How does Amazon support the professional development and growth of its employees within the Data Team?
• What are the key performance indicators (KPIs) for this role, and how are they measured and tracked?

ASSUMPTION: Asking these questions during the interview process will help you better understand the role, team dynamics, and career growth opportunities within Amazon's Data Team.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link.
• Tailor your resume to highlight relevant skills and experiences related to data analysis, writing, and research.
• Prepare a cover letter that demonstrates your enthusiasm for the role and explains how your background and skills make you a strong fit for the position.
• Be prepared to discuss your approach to data analysis, writing, and research, as well as your ability to work in a fast-paced environment.
• Follow up with the hiring manager 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.