AI Content Expert

📌 Core Information

🔹 Job Title: AI Content Expert II

🔹 Company: Amazon

🔹 Location: Hyderabad, Telangana, India

🔹 Job Type: Fixed Term Contractual (12 months)

🔹 Category: AI & Machine Learning

🔹 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 (text, image, video) on various topics, including technical or science-related content
• Working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data
• 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

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: The role may involve working with sensitive content, requiring comfort and understanding of relevant policies and procedures.

🎯 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, proficiency in English is likely required for this role due to the nature of the work and the company's global presence.

💰 Compensation & Benefits

Salary Range: INR 800,000 - 1,200,000 per annum (Estimated based on industry standards for AI Content Experts in India)

Benefits:

• Medical, 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), with flexible work arrangements possible

ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's qualifications and experience.

📌 Applicant Insights

🔍 Company Context

Industry: E-commerce and Technology

Company Size: 10,001+ employees (Global), with a diverse and inclusive work environment

Founded: 1994, with a rich history of innovation and customer focus

Company Description:

• Amazon is guided by four principles: customer obsession rather than competitor focus, 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
• Technology
• AI & Machine Learning

Company Website: Amazon.com

ASSUMPTION: Amazon's global presence and diverse workforce offer unique opportunities for professional growth and exposure to various cultures and perspectives.

📊 Role Analysis

Career Level: Mid-level, with opportunities for growth and advancement within the AI and Machine Learning domain

Reporting Structure: This role reports directly to the Data Team, working closely with scientists and engineers

Work Arrangement: On-site, with potential for flexible work arrangements

Growth Opportunities:

• Expansion of skills and knowledge in AI and Machine Learning
• Potential to work on diverse and complex projects
• Opportunities for internal mobility and career progression

ASSUMPTION: This role offers a unique opportunity to work on cutting-edge AI projects and contribute to the development of large language models.

🌍 Location & Work Environment

Office Type: Modern, collaborative workspaces with state-of-the-art technology and amenities

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, cultural attractions, and vibrant food scene
• Hyderabad offers a mix of urban and suburban living options, with a cost of living that is generally lower than in major international cities

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

ASSUMPTION: Hyderabad's growing tech industry and vibrant culture provide an exciting backdrop for this role.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening
• 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:

• Technical skills and knowledge of AI and Machine Learning
• Writing and communication 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 for this role
• Demonstrate your proficiency in English through clear and concise writing
• Prepare for technical assessments or take-home assignments by brushing up on your AI and Machine Learning skills
• Research Amazon's leadership principles and be prepared to discuss how you embody them in your work

ATS Keywords: AI Content Expert, Data Annotation, Large Language Models, Machine Learning, Python, Scripting Languages, Regular Expressions, STEM, Writing Skills

ASSUMPTION: The interview process may involve assessments of both technical skills and cultural fit, with a focus on Amazon's leadership principles.

🛠️ Tools & Technologies

• Python or another scripting language
• Regular expressions syntax
• Large Language Models
• Common markup languages such as HTML, XML, Markdown
• Common standard text formats such as JSON, CSV, RTF
• Amazon's proprietary tools and platforms

ASSUMPTION: Familiarity with Amazon's proprietary tools and platforms may be required for this role.

👔 Cultural Fit Considerations

Company Values:

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

Work Style:

• Collaborative and team-oriented
• Fast-paced and adaptable
• Focused on delivering results and driving innovation

Self-Assessment Questions:

• Do you have a strong customer focus and a passion for delivering exceptional customer experiences?
• 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 to drive innovation?

ASSUMPTION: Candidates who align with Amazon's leadership principles and values will be well-suited to this role.

⚠️ Potential Challenges

• The role may involve working with sensitive content, requiring comfort and understanding of relevant policies and procedures
• The work may be complex and demanding, requiring strong attention to detail and the ability to focus for extended periods
• The role may require working with ambiguous or incomplete information, requiring strong problem-solving and decision-making skills
• The work environment may be fast-paced and dynamic, with changing priorities and deadlines

ASSUMPTION: While these challenges may present obstacles, they also offer opportunities for growth and development in a supportive and collaborative work environment.

📈 Similar Roles Comparison

• Compared to similar roles in the industry, this position offers a unique opportunity to work on cutting-edge AI projects and contribute to the development of large language models
• The role requires a strong focus on customer obsession and a passion for invention, aligning with Amazon's core values
• Career progression opportunities may be limited in the short term due to the fixed-term nature of the contract, but long-term growth potential exists within Amazon's expansive AI and Machine Learning domain

ASSUMPTION: This role offers a unique blend of technical challenges, customer focus, and collaborative work environment, setting it apart from similar positions in the industry.

📝 Sample Projects

• Developing and annotating training data for a new large language model focused on understanding and generating technical or science-related content
• Contributing to the improvement of Amazon's AI and Machine Learning tools and platforms through identification of tooling bugs and suggestions for improvement
• Working on a team project to evaluate the quality of data generated by other specialists and implementing solutions to improve the overall quality of the training data

ASSUMPTION: These sample projects illustrate the diverse and complex nature of the work required for this role, highlighting the opportunity to make a significant impact on Amazon's AI and Machine Learning initiatives.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and dynamics for this role, and how it collaborates with other teams within the Data Team?
• How does this role contribute to Amazon's overall mission and strategic goals for AI and Machine Learning?
• What opportunities exist for professional growth and development within this role and the broader AI and Machine Learning domain at Amazon?
• How does Amazon support work-life balance for employees in this role, and what resources are available to help manage stress and maintain well-being?
• What is the typical timeline for completing projects and delivering results in this role, and how is progress measured and evaluated?

ASSUMPTION: Asking these questions demonstrates a strong interest in the role and a commitment to understanding the work environment and opportunities for growth.

📌 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 proficiency in English and familiarity with AI and Machine Learning concepts
• Prepare for technical assessments or take-home assignments by brushing up on your AI and Machine Learning skills and researching Amazon's leadership principles
• Follow up with the hiring manager or recruiter within one week of submitting your application to express your interest and inquire about the status of your application

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