AI Content Expert

📌 Core Information

🔹 Job Title: AI Content Expert II

🔹 Company: Amazon

🔹 Location: Chennai, Tamil Nadu, India

🔹 Job Type: On-site

🔹 Category: Software Development

🔹 Date Posted: 2025-07-08

🔹 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 and guideline adherence
• Performing audits and quality checks of tasks completed by other specialists
• Making sound judgments and logical decisions when faced with ambiguous or incomplete information

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

✅ 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: The 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; understanding of basic academic integrity, i.e. plagiarism.
• 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. 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 not explicitly stated, having experience with data analysis tools and understanding of machine learning concepts may be beneficial for this role.

💰 Compensation & Benefits

Salary Range: INR 8-12 lakhs per annum (Estimated based on industry standards for similar roles at Amazon)

Benefits:

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

Working Hours: Full-time (40 hours/week), with flexible work arrangements available

ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles at Amazon. Actual salary may vary based on experience and performance.

📌 Applicant Insights

🔍 Company Context

Industry: Software Development, specifically focused on e-commerce, retail operations, and internet services

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

Founded: 1994 (Headquarters: Seattle, 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 services
• Cloud computing (Amazon Web Services)
• Artificial Intelligence and Machine Learning (Amazon AI)

Company Website: Amazon.com

ASSUMPTION: Working at Amazon offers opportunities to collaborate with diverse teams, learn from experienced professionals, and contribute to innovative projects that impact millions of customers worldwide.

📊 Role Analysis

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

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

Work Arrangement: On-site, with potential for hybrid or remote work arrangements based on team needs and performance.

Growth Opportunities:

• Progression to Senior AI Content Expert or related roles within the Data Team or other departments
• Potential to work on high-impact projects and contribute to the development of Amazon's Large Language Models
• Opportunities to learn and develop new skills through training programs and mentorship

ASSUMPTION: This role offers opportunities for career growth and professional development within Amazon's expanding AI and Machine Learning teams.

🌍 Location & Work Environment

Office Type: Corporate office with a collaborative and innovative work environment

Office Location(s): Chennai, Tamil Nadu, India

Geographic Context:

• Chennai is the capital city of the Indian state of Tamil Nadu and is known for its cultural heritage, historical landmarks, and vibrant food scene.
• The city offers a mix of traditional and modern infrastructure, with a well-connected public transportation system.
• Chennai has a tropical savanna climate, with moderate temperatures and high humidity throughout the year.

Work Schedule: Full-time (40 hours/week), with flexible work arrangements available

ASSUMPTION: Working in Chennai offers a unique blend of cultural experiences and professional opportunities in a dynamic and growing city.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening with the HR team
• Technical assessment or take-home assignment
• On-site or virtual interview with the hiring manager and team members
• Final decision and offer

Key Assessment Areas:

• Writing and research skills
• Attention to detail and quality assurance
• 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 related to the job description
• Demonstrate your proficiency in English by providing examples of your writing and comprehension skills
• Prepare for the interview by researching Amazon's products, services, and company culture
• Be ready to discuss your approach to problem-solving and provide examples of your ability to work independently and collaborate with teams

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

ASSUMPTION: The interview process may include assessments of your technical skills, as well as behavioral and situational questions to evaluate your fit for the role and Amazon's company culture.

🛠️ Tools & Technologies

• Amazon Web Services (AWS) platform
• Large Language Models (LLMs)
• Data annotation and markup tools (e.g., Amazon SageMaker Ground Truth, Labelbox, VGG Image Annotator)
• Scripting languages (e.g., Python, JavaScript)
• Markup languages (e.g., HTML, XML, Markdown)
• Standard text formats (e.g., JSON, CSV, RTF)

ASSUMPTION: Familiarity with Amazon's proprietary tools and platforms may be beneficial for this role, as well as experience with open-source data annotation and markup tools.

👔 Cultural Fit Considerations

Company Values:

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

Work Style:

• Collaborative and innovative
• Fast-paced and adaptable
• Data-driven and customer-focused
• Results-oriented and detail-oriented

Self-Assessment Questions:

• Do you have a strong passion for creating high-quality content and ensuring data accuracy?
• Are you comfortable working in a fast-paced, dynamic environment with changing priorities and deadlines?
• Do you thrive in a collaborative work environment and enjoy working with diverse teams?
• Are you committed to Amazon's customer-centric approach and long-term thinking?

ASSUMPTION: Successful candidates will demonstrate a strong cultural fit with Amazon's values and work style, as well as a passion for creating high-quality content and ensuring data accuracy.

⚠️ Potential Challenges

• Working with sensitive content may require additional training and support
• Adapting to Amazon's fast-paced and dynamic work environment may be challenging for some candidates
• The role may involve working with complex data and tools, requiring a steep learning curve
• Chennai's tropical climate may not be suitable for all candidates

ASSUMPTION: Addressing these challenges requires open communication, a willingness to learn and adapt, and a strong commitment to Amazon's mission and values.

📈 Similar Roles Comparison

• Compared to other AI Content Expert roles, this position offers opportunities to work with cutting-edge Large Language Models and collaborate with experienced data scientists and engineers
• Amazon's focus on customer-centric innovation sets this role apart from similar positions in other companies
• Career progression in this role may lead to opportunities in Amazon's expanding AI and Machine Learning teams, as well as other departments

ASSUMPTION: This role offers unique opportunities for professional growth and development within Amazon's innovative and customer-centric work environment.

📝 Sample Projects

• Developing training data for Amazon's Large Language Models to improve their understanding of complex, technical, or science-related content
• Collaborating with scientists and engineers to create and refine guidelines for content generation and annotation
• Performing audits and quality checks of tasks completed by other specialists, ensuring data accuracy and consistency

ASSUMPTION: These sample projects demonstrate the range of responsibilities and opportunities available in this role, as well as the importance of collaboration and attention to detail.

❓ 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 Large Language Models and AI?
• What opportunities are there for professional development and growth within the Data Team and Amazon as a whole?
• How does Amazon support work-life balance for on-site employees?
• What are the most challenging aspects of working with complex data and tools in this role?

ASSUMPTION: Asking these questions demonstrates your interest in the role and provides valuable insights into Amazon's work environment and culture.

📌 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, with a focus on writing, research, and data analysis
• Prepare for the interview by researching Amazon's products, services, and company culture, as well as practicing your problem-solving and decision-making skills
• If selected for an on-site or virtual interview, be prepared to discuss your approach to problem-solving and provide examples of your ability to work independently and collaborate with teams
• Follow up with the HR team after your interview to express your interest in the role and reiterate your qualifications

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