AI Content Expert

📌 Core Information

🔹 Job Title: AI Content Expert II

🔹 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 ensure data quality
• Identifying tooling improvement opportunities and suggesting solutions
• Working in a fast-paced environment with changing circumstances and strategy

ASSUMPTION: This role requires strong attention to detail, adaptability, and the ability to work independently with minimal supervision.

📋 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: The 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 understanding of U.S.-based culture, society, and norms.
• 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.
• 1+ year(s) of experience working with command line interfaces and basic UNIX commands.
• 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 and norms.

💰 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/week) with flexible scheduling

ASSUMPTION: The salary range is estimated based on industry standards for similar roles in Hyderabad. Actual compensation may vary based on factors such as skills, experience, and market conditions.

📌 Applicant Insights

🔍 Company Context

Industry: E-commerce and Technology

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
• Retail
• Operations
• Internet
• Cloud Computing (Amazon Web Services)
• Artificial Intelligence (Alexa, Amazon Go, etc.)

Company Website: Amazon.com

ASSUMPTION: Amazon's large size and diverse range of products and services 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 Lead.

Work Arrangement: On-site, full-time (40 hours/week) with flexible scheduling

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.
• Chance to gain experience in a large, multinational corporation and learn from industry experts.

ASSUMPTION: Given the contract nature of this role, there may be opportunities for extension or conversion to a permanent position based on performance.

🌍 Location & Work Environment

Office Type: Corporate office with open-plan workspaces and dedicated meeting rooms

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, such as the Charminar and Golconda Fort.
• Hyderabad has a humid subtropical climate, with hot summers and mild winters.

Work Schedule: Full-time (40 hours/week) with flexible scheduling, including remote work options for certain tasks

ASSUMPTION: The work environment may involve handling sensitive content, requiring discretion and professionalism.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screen with HR
• Technical assessment or test
• In-depth interview with the hiring manager and team members
• Final decision and offer

Key Assessment Areas:

• Technical skills and knowledge of data annotation and content generation
• Attention to detail and ability to focus for extended periods
• Adaptability and problem-solving skills
• Cultural fit and understanding of U.S.-based culture and norms

Application Tips:

• Tailor your resume and cover letter to highlight relevant skills and experiences for this role.
• Demonstrate your understanding of U.S.-based culture and norms in your application materials.
• Prepare for the technical assessment or test by reviewing relevant concepts and practicing common data annotation tasks.

ATS Keywords: Data annotation, content generation, data analysis, attention to detail, research skills, writing skills, STEM, cultural understanding, adaptability, quality assurance, tool improvement, problem-solving, scripting knowledge, markup languages, large language models

ASSUMPTION: The interview process may involve multiple rounds and assessments, depending on the candidate's qualifications and the company's hiring needs.

🛠️ Tools & Technologies

• Command line interfaces and basic UNIX commands
• Common markup languages such as HTML, XML, Markdown
• Common standard text formats such as JSON, CSV, RTF
• Python or another scripting language
• Regular expressions syntax
• Large Language Models

ASSUMPTION: The specific tools and technologies used may vary depending 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, with changing circumstances, direction, and strategy
• Collaborative and team-oriented, with a focus on delivering high-quality results
• Data-driven and analytical, with a strong emphasis on continuous learning and improvement

Self-Assessment Questions:

• Do you have a strong understanding of U.S.-based culture, society, and norms?
• Are you comfortable working in a fast-paced environment with changing circumstances and strategy?
• Do you have excellent attention to detail and the ability to focus for extended periods?
• Are you comfortable handling sensitive content and maintaining confidentiality?

ASSUMPTION: Candidates should assess their fit with Amazon's values and work style to ensure a successful and fulfilling work experience.

⚠️ Potential Challenges

• Handling sensitive content may require emotional resilience and professionalism.
• Working in a fast-paced environment with changing circumstances and strategy may be challenging for those who prefer structured and predictable work environments.
• The contract nature of the role may involve uncertainty about job security and long-term career prospects.
• The need to adapt writing styles to suit various guidelines and customers may be challenging for those who prefer to maintain a consistent writing style.

ASSUMPTION: Candidates should carefully consider these potential challenges and assess their ability to manage them effectively.

📈 Similar Roles Comparison

• Compared to other data annotation roles, this position requires a stronger focus on creating complex, high-quality training data and collaborating with scientists and engineers.
• In the context of the broader data and analytics industry, this role offers a unique opportunity to work on cutting-edge projects and contribute to the development of large language models.
• Career-wise, this role may offer similar growth opportunities as other mid-level data annotation positions, with potential progression to senior roles within the Data Team or related fields.

ASSUMPTION: Candidates should research similar roles in the industry to gain a better understanding of the market and competitive landscape.

📝 Sample Projects

• Creating and annotating complex training data for a new large language model designed to understand and generate human-like text in various domains.
• Collaborating with scientists and engineers to refine and improve the quality of training data for an existing large language model, resulting in enhanced performance and accuracy.
• Developing and implementing a new tool for automated quality checking of data annotation tasks, improving efficiency and reducing human error.

ASSUMPTION: These sample projects illustrate the diverse and challenging nature of the AI Content Expert II role at Amazon.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and dynamics within the Data Team?
• How does this role contribute to the overall mission and goals of the Data Team and Amazon?
• What opportunities are there for professional 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 challenging aspects of this role, and how can I best prepare to succeed in them?

ASSUMPTION: Asking thoughtful and insightful questions demonstrates your interest in the role and commitment to success.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight your relevant skills and experiences for this role.
• Prepare for the technical assessment or test by reviewing relevant concepts and practicing common data annotation tasks.
• Research Amazon's company culture and values to demonstrate your cultural fit and alignment with the organization.
• Follow up with the hiring manager or HR representative within one week of submitting your application 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.