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
• Collaborating with scientists and engineers to ensure data quality
• Identifying tooling improvement opportunities and reporting bugs
• Working in a fast-paced environment with changing circumstances

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

📋 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 may involve working with sensitive content and requires a high level of confidentiality.

🎯 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 (C1 level in the Common European Framework CEFR scale)
• Strong understanding of U.S.-based culture, society, and norms
• Experience with creating complex data for LLM training and evaluation
• 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 required for this role due to the nature of the work and the need to understand U.S.-based culture.

💰 Compensation & Benefits

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

Benefits:

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

Working Hours: Full-time (40 hours per week)

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

📌 Applicant Insights

🔍 Company Context

Industry: E-commerce, Retail, and Internet

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

Founded: 1994 (Amazon was founded in Bellevue, 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.

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 is a large, multinational corporation with a significant presence in India. This role may offer opportunities for growth and exposure to diverse projects.

📊 Role Analysis

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

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

Work Arrangement: On-site, full-time (40 hours per week)

Growth Opportunities:

• Potential to work on diverse projects and gain experience in various aspects of data analysis and content generation.
• Opportunities to collaborate with scientists and engineers, contributing to the development of Large Language Models.
• Possibility to transition into a full-time role or take on more responsibilities within the Data Team.

ASSUMPTION: This role may provide opportunities for career growth and skill development within the Data Team at Amazon.

🌍 Location & Work Environment

Office Type: Corporate office

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 historical sites, cultural attractions, and IT industry.
• The cost of living in Hyderabad is generally lower than in major metropolitan cities like Mumbai or Delhi.

Work Schedule: Full-time (40 hours per week) with flexible hours and remote work options not specified.

ASSUMPTION: The work environment at Amazon's Hyderabad office is likely to be dynamic, fast-paced, and collaborative, reflecting the company's culture and values.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening
• Technical assessment (data annotation or content generation task)
• On-site or virtual interview with the hiring manager and team members
• Background check and offer

Key Assessment Areas:

• Attention to detail and data annotation skills
• Writing and research skills
• 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 the role's requirements and Amazon's company culture in your application materials.
• Prepare for the technical assessment by practicing data annotation tasks and familiarizing yourself with common markup languages.

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

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

• Common markup languages (HTML, XML, Markdown)
• Common standard text formats (JSON, CSV, RTF)
• Python or another scripting language
• Regular expressions syntax
• Large Language Models

ASSUMPTION: The tools and technologies required for this role may vary depending on the specific projects and tasks assigned.

👔 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 team-oriented
• Focused on innovation and continuous improvement
• Results-driven and data-informed

Self-Assessment Questions:

• Do I have a strong customer focus and a passion for creating high-quality content that meets customer needs?
• Am I comfortable working in a fast-paced, dynamic environment with changing circumstances, direction, and strategy?
• Do I have strong research skills and the ability to adapt my writing style to suit various guidelines and customers?

ASSUMPTION: Amazon values employees who are customer-obsessed, passionate about invention, committed to operational excellence, and able to think long-term. Successful candidates will demonstrate these values and be able to thrive in a fast-paced, collaborative work environment.

⚠️ Potential Challenges

• Working with complex and sensitive content may require a high level of attention to detail and emotional resilience.
• The fast-paced nature of the role may lead to frequent changes in direction and strategy, requiring adaptability and flexibility.
• The role may involve working with diverse teams and stakeholders, requiring strong communication and collaboration skills.
• The cost of living in Hyderabad may be lower than in major metropolitan cities, but the city's traffic and pollution levels may pose challenges for some applicants.

ASSUMPTION: While this role offers many opportunities for growth and exposure to diverse projects, it also presents potential challenges that candidates should be aware of and prepared to navigate.

📈 Similar Roles Comparison

• Compared to similar roles in the industry, this role may offer more opportunities for collaboration with scientists and engineers, contributing to the development of Large Language Models.
• Amazon's large size and global presence may provide more opportunities for career growth and exposure to diverse projects compared to smaller companies.
• As a contractor role, this position may offer less job security and benefits compared to full-time roles, but it may also provide more flexibility and work-life balance.

ASSUMPTION: This role may offer unique opportunities and challenges compared to similar roles in the industry, and candidates should carefully consider their preferences and career goals when evaluating this position.

📝 Sample Projects

• Developing training data for a new Large Language Model focused on understanding and generating technical or scientific content
• Collaborating with engineers to improve data annotation tools and workflows
• Creating and annotating high-quality training data for a multilingual Large Language Model

ASSUMPTION: The sample projects listed above are intended to illustrate the types of tasks and responsibilities that may be involved in this role. Actual projects may vary depending on the specific needs and priorities of the Data Team.

❓ Key Questions to Ask During Interview

• Can you describe the specific projects and tasks that this role will be responsible for in the first few months?
• How does this role contribute to the development and improvement of Amazon's Large Language Models?
• What opportunities are there for growth and skill development within the Data Team and Amazon as a whole?
• How does Amazon support work-life balance for its employees, particularly for contractor roles?
• What is the typical career path for someone in this role, and what opportunities are there for advancement within the Data Team or other departments?

ASSUMPTION: Asking thoughtful questions during the interview process demonstrates your interest in the role and provides valuable insights into the work environment and career growth opportunities.

📌 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, emphasizing your attention to detail, research skills, and ability to adapt to various writing styles and guidelines.
• Prepare for the technical assessment by practicing data annotation tasks and familiarizing yourself with common markup languages.
• If selected for an on-site or virtual interview, research Amazon's company culture and be prepared to discuss your fit with the company's values and leadership principles.
• Follow up with the hiring manager or recruiter within one week of your interview to express your interest in the role and ask about the next steps in the application process.

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