AI Content Expert

📌 Core Information

🔹 Job Title: AI Content Expert

🔹 Company: Amazon

🔹 Location: Hyderabad, Telangana, India

🔹 Job Type: Contract (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
• Collaborating with scientists and engineers to improve data quality and tooling
• Performing audits and quality checks of tasks completed by other specialists
• Making informed decisions and implementing solutions independently

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 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:

• 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
• 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
• 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 strong proficiency in English is preferred, the ability to effectively communicate in other languages may also be considered for this role.

💰 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 and holidays
• 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 experience and skills.

📌 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, 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 and services
• Cloud computing and storage (AWS)
• Digital streaming and entertainment (Amazon Prime Video, Music, etc.)
• Artificial intelligence and machine learning

Company Website: Amazon.com

ASSUMPTION: Amazon's large size and diverse business segments offer numerous growth and career development opportunities for employees.

📊 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 (Hyderabad, India)

Growth Opportunities:

• Potential career progression within the Data Team or related departments
• Opportunities to work on diverse and complex projects
• Chance to collaborate with and learn from experienced scientists and engineers

ASSUMPTION: This role may lead to long-term career growth opportunities within Amazon's expanding AI and machine learning divisions.

🌍 Location & Work Environment

Office Type: Corporate office (Hyderabad, India)

Office Location(s): 2127 7th Ave., Seattle, WA, USA (Headquarters); 12900 Worldgate Dr, Herndon, VA, USA; 7200 Discovery Dr, Chattanooga, TN, USA; 1100 Enterprise Way, Sunnyvale, CA, USA; 2010 Broening Hwy, Baltimore, MD, USA; and other global locations

Geographic Context:

• Hyderabad is the capital of Telangana, a 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: Monday to Friday, 9:00 AM to 6:00 PM (IST)

ASSUMPTION: The work environment may require employees to work in shifts or extended hours to meet project deadlines.

💼 Interview & Application Insights

Typical Process:

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

Key Assessment Areas:

• Writing and annotation skills
• Attention to detail and quality of work
• Problem-solving and decision-making abilities
• Cultural fit and communication skills

Application Tips:

• Tailor your resume and cover letter to highlight relevant skills and experiences
• Demonstrate your understanding of the role and Amazon's values in your application materials
• Prepare for the technical assessment by practicing data annotation or writing tasks
• Research Amazon's company culture and be ready to discuss your fit with the organization

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

ASSUMPTION: The interview process may vary based on the specific team or department within Amazon.

🛠️ Tools & Technologies

• Amazon Web Services (AWS) platform
• Python or other scripting languages
• Markup languages such as HTML, XML, Markdown
• Standard text formats such as JSON, CSV, RTF
• Large Language Models (LLMs)

ASSUMPTION: The specific tools and technologies used may vary based on the projects assigned to the candidate.

👔 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

Self-Assessment Questions:

• Do you have a strong customer focus and a passion for creating high-quality training data?
• Are you comfortable working in a fast-paced environment with changing circumstances and priorities?
• Do you have strong communication skills and the ability to work effectively with diverse teams?

ASSUMPTION: Candidates who align with Amazon's values and work style are more likely to succeed in this role and within the organization.

⚠️ Potential Challenges

• Working with complex and sensitive data may require additional attention and care
• The fast-paced work environment may be challenging for candidates who prefer a more structured or predictable work setting
• The role may require working with diverse teams and stakeholders, which can present communication and collaboration challenges
• The 12-month contract duration may limit long-term career growth opportunities within Amazon

ASSUMPTION: Addressing these challenges proactively and seeking support when needed will be essential for success in this role.

📈 Similar Roles Comparison

• Compared to similar roles in the industry, this position offers a unique opportunity to work directly with scientists and engineers to improve data quality and tooling
• Amazon's large size and diverse business segments provide numerous growth and career development opportunities
• This role may lead to long-term career growth opportunities within Amazon's expanding AI and machine learning divisions

ASSUMPTION: While this role offers unique opportunities, it may also present challenges specific to working in a large, fast-paced organization.

📝 Sample Projects

• Creating and annotating training data for Amazon's Large Language Models (LLMs)
• Collaborating with scientists and engineers to improve data quality and tooling for Amazon's AI and machine learning projects

• Performing audits and quality checks of tasks completed by other specialists for Amazon's data annotation and content generation projects

ASSUMPTION: The specific projects assigned to the candidate may vary based on the team's priorities and the organization's needs.

❓ 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 fit into the overall data strategy for Amazon's AI and machine learning projects?
• What opportunities are there for growth and development within this role and the Data Team?
• How does Amazon support work-life balance for employees in this role?
• What are the most important qualities and skills for success in this role, according to the team?

ASSUMPTION: Asking thoughtful and insightful questions demonstrates your interest in the role and engagement with the organization.

📌 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
• Prepare for the technical assessment by practicing data annotation or writing tasks
• Research Amazon's company culture and be ready to discuss your fit with the organization
• Follow up with the hiring manager or HR representative within one week of submitting your application

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