AI Content Expert

📌 Core Information

🔹 Job Title: AI Content Expert

🔹 Company: Amazon

🔹 Location: Hyderabad, Telangana, India

🔹 Job Type: Fixed Term Contract

🔹 Category: Data & Analytics

🔹 Date Posted: July 10, 2025

🔹 Experience Level: 2-5 years

🔹 Remote Status: On-site (Hybrid)

🚀 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 review and update guidelines
• Identifying tooling improvement opportunities and engaging in quality conversations
• Working in a diverse team with a shared vision of improving customers’ lives with practical, useful generative AI innovations

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

✅ 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 candidates should be comfortable with this.

🎯 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
• 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 (C1 level in the Common European Framework CEFR scale)
• Experience with creating complex data for LLM training and evaluation
• Comfortable with high-school level STEM
• Strong understanding of U.S.-based culture, society, and norms
• 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, it is assumed that candidates should have a strong understanding of academic integrity, i.e., plagiarism.

💰 Compensation & Benefits

Salary Range: INR 6,00,000 - 1,200,000 per annum (Estimated based on industry standards for the role, experience level, and location)

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 hours and a hybrid work arrangement

ASSUMPTION: The salary range provided is an estimate based on industry standards for the role, experience level, and location. Actual compensation may vary based on factors such as skills, experience, and performance.

📌 Applicant Insights

🔍 Company Context

Industry: E-commerce and Retail

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

Founded: 1994 (Amazon was founded in Bellevue, WA, USA)

Company Description:

• Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence
• Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking
• Amazon's mission is to be Earth's most customer-centric company

Company Specialties:

• E-commerce platform
• Cloud computing services (AWS)
• Digital streaming services (Amazon Prime Video, Amazon Music)
• Artificial intelligence and machine learning
• Hardware development (Kindle, Fire tablets, Echo devices)

Company Website: Amazon.com

ASSUMPTION: Amazon's large size 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 to the Data Team and works closely with scientists and engineers

Work Arrangement: Hybrid (on-site with flexible hours)

Growth Opportunities:

• Potential career progression to senior roles within the Data Team or related departments
• Opportunities to work on diverse projects and gain exposure to various aspects of the business
• Chance to develop skills in AI, machine learning, and data analysis

ASSUMPTION: This role offers opportunities for professional growth and development within a large, established organization.

🌍 Location & Work Environment

Office Type: Corporate office with a hybrid work arrangement

Office Location(s): Hyderabad, Telangana, India

Geographic Context:

• Hyderabad is the capital of Telangana state in southern India
• The city is known for its historical sites, including the Charminar and Golconda Fort
• Hyderabad has a tropical wet and dry climate, with hot summers and mild winters

Work Schedule: Full-time (40 hours/week) with flexible hours and a hybrid work arrangement

ASSUMPTION: Hyderabad offers a unique blend of historical and modern attractions, providing a rich cultural experience for employees.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening
• Technical assessment (data annotation or writing task)
• On-site or video interview with the hiring manager and team members
• Final decision and offer

Key Assessment Areas:

• Attention to detail and accuracy in data annotation or writing tasks
• Problem-solving skills and ability to make sound judgments
• Cultural fit and alignment with Amazon's leadership principles
• Adaptability and flexibility in a fast-paced environment

Application Tips:

• Highlight relevant experience and skills in your resume, focusing on data annotation, writing, and research
• Tailor your cover letter to demonstrate your understanding of the role and your fit with Amazon's culture
• Prepare for the technical assessment by practicing data annotation or writing tasks
• Research Amazon's leadership principles and be prepared to discuss how you embody them in your work

ATS Keywords: Data annotation, content generation, data analysis, research skills, attention to detail, writing skills, STEM, adaptability, markup languages, scripting languages, large language models

ASSUMPTION: The interview process may involve multiple rounds and assessments, depending on the candidate's progress.

🛠️ Tools & Technologies

• Data annotation tools (e.g., Amazon SageMaker Ground Truth)
• Markup languages (HTML, XML, Markdown)
• Standard text formats (JSON, CSV, RTF)
• Scripting languages (Python)
• Regular expressions syntax
• Large Language Models (e.g., Amazon's own LLMs)

ASSUMPTION: The specific tools and technologies used may vary depending on the 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 environment
• Collaborative and team-oriented culture
• Focus on innovation and continuous improvement
• Strong emphasis on customer-centricity

Self-Assessment Questions:

• Do you have a strong customer focus and a passion for innovation?
• Are you comfortable working in a fast-paced, dynamic environment with changing circumstances, direction, and strategy?
• Do you have strong attention to detail and the ability to adapt your writing style to suit various guidelines and customers?

ASSUMPTION: Candidates who align with Amazon's values and work style will be more likely to succeed in this role.

⚠️ Potential Challenges

• Working with complex and sensitive data may require candidates to make difficult decisions and maintain strict confidentiality
• The fast-paced nature of the role may demand adaptability and flexibility in handling changing circumstances and priorities
• Candidates may face competition from other experienced professionals in the data annotation and content generation field
• Hyderabad's tropical climate may pose challenges for candidates who are not accustomed to hot summers

ASSUMPTION: These challenges can be overcome with strong problem-solving skills, adaptability, and a customer-centric mindset.

📈 Similar Roles Comparison

• Compared to other data annotation roles, this position offers a unique focus on creating complex training data for large language models
• Amazon's large-scale operations provide opportunities for candidates to work on diverse projects and gain exposure to various aspects of the business
• This role may offer more growth opportunities and career progression paths compared to smaller organizations or startups in the same field

ASSUMPTION: Candidates should consider their career goals and preferences when comparing this role to similar positions in the industry.

📝 Sample Projects

• Developing a comprehensive dataset for a new large language model, including various modalities (text, image, video) and diverse topics
• Creating and annotating high-quality training data for an existing LLM to improve its performance on specific tasks or domains
• Collaborating with scientists and engineers to review and update guidelines for data annotation and content generation

ASSUMPTION: These sample projects illustrate the types of tasks and responsibilities candidates can expect in this role.

❓ 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 long-term vision for generative AI innovations?
• What are the most challenging aspects of working on complex data for LLM training and evaluation?
• How does Amazon support the professional growth and development of its employees in this role?
• What is the work-life balance like for employees in this role and hybrid work arrangement?

ASSUMPTION: Asking these questions will help candidates better understand the role, team dynamics, and company culture.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume to highlight relevant experience and skills, focusing on data annotation, writing, and research
• Write a cover letter that demonstrates your understanding of the role and your fit with Amazon's culture
• Prepare for the technical assessment by practicing data annotation or writing tasks
• Research Amazon's leadership principles and be prepared to discuss how you embody them in your work
• Follow up with the hiring manager or HR representative within a week after the interview, expressing your interest in the role and addressing any concerns or questions

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