π Core Information
πΉ Job Title: AI Content Expert II
πΉ Company: Amazon
πΉ Location: Hyderabad, Telangana, India
πΉ Job Type: Fixed Term Contract (12 months)
πΉ Category: Data & Analytics
πΉ Date Posted: July 10, 2025
πΉ Experience Level: 2-5 years
πΉ Remote Status: On-site
π 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 identify tooling improvements
- Working in a fast-paced environment with changing circumstances and strategy
- Contributing to the improvement and expansion of Amazon's Large Language Models' capabilities
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.
π Key Responsibilities
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Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
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Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
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Performing audits and quality checks of tasks completed by other specialists, if required
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Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
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Diving deep into issues and implementing solutions independently
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Identifying and reporting tooling bugs and suggesting improvements
ASSUMPTION: This role may involve working with sensitive content and requires a high level of confidentiality.
π― Required Qualifications
Education: Bachelorβs 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 not explicitly stated, proficiency in English is likely required for this role due to the nature of the work and the need to understand and adapt to various writing styles and guidelines.
π° Compensation & Benefits
Salary Range: INR 6,00,000 - 1,200,000 per annum (Estimated, based on industry standards for AI Content Experts with 2-5 years of experience 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), with flexible scheduling options
ASSUMPTION: The salary range provided is an estimate based on industry standards for AI Content Experts with 2-5 years of experience in Hyderabad. Actual salary may vary based on individual qualifications and company policy.
π Applicant Insights
π 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 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
Company Website: Amazon.com
ASSUMPTION: Working at Amazon offers opportunities for professional growth and exposure to a wide range of technologies and products. However, it may also come with a fast-paced work environment and high expectations.
π 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, with potential for remote work depending on the team's needs and the employee's performance.
Growth Opportunities:
- Potential for career progression within the Data Team or related departments
- Opportunities to work on diverse projects and gain exposure to various aspects of Amazon's business
- Chance to collaborate with and learn from experienced scientists and engineers
ASSUMPTION: This role offers opportunities for professional growth and development within a large, dynamic organization.
π Location & Work Environment
Office Type: Corporate office with open-plan workspaces and dedicated team areas
Office Location(s): Hyderabad, Telangana, India
Geographic Context:
- Hyderabad is the capital of Telangana state and is known for its historical sites, cultural events, and IT industry.
- The city offers a mix of traditional and modern amenities, with a lower cost of living compared to major metropolitan areas like Mumbai or Delhi.
- Hyderabad has a tropical wet and dry climate, with hot summers and mild winters.
Work Schedule: Full-time, with flexible scheduling options and potential for overtime during peak periods
ASSUMPTION: Working in Hyderabad offers a unique blend of cultural experiences and a lower cost of living compared to other major metropolitan areas in India. However, the city's tropical climate may not be suitable for everyone.
πΌ Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screening with the hiring manager or HR
- Technical assessment or case study presentation
- Final round interview with the team
Key Assessment Areas:
- Writing and research skills
- Attention to detail and ability to focus for extended periods
- Adaptability and flexibility in working with various guidelines and customers
- Problem-solving skills and the ability to work independently
Application Tips:
- Tailor your resume to highlight relevant skills and experiences related to the job description
- Prepare a cover letter that demonstrates your understanding of the role and your fit for the company
- If required, prepare a portfolio or examples of your work that showcase your writing and research skills
- Research Amazon's company culture and values to ensure a good fit
ATS Keywords: AI Content Expert, Data Annotation, Content Generation, Data Analysis, Research Skills, Attention to Detail, Writing Skills, Adaptability, STEM Knowledge, Markup Languages, Scripting Languages, Regular Expressions, Large Language Models, Quality Assurance, Problem Solving, Confidentiality, Creativity
ASSUMPTION: The application process for this role may be competitive, and applicants should tailor their materials to highlight their relevant skills and experiences.
π οΈ Tools & Technologies
- Amazon's proprietary data annotation and content generation tools
- 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
ASSUMPTION: Familiarity with Amazon's proprietary tools and common markup languages and text formats is likely required for this role.
π Cultural Fit Considerations
Company Values:
- Customer obsession
- Passion for invention
- Commitment to operational excellence
- Long-term thinking
Work Style:
- Fast-paced and dynamic
- Collaborative and team-oriented
- Focused on innovation and continuous improvement
- Results-driven and data-informed
Self-Assessment Questions:
- Do you have a strong customer focus and a passion for creating high-quality training data that meets the needs of diverse customers?
- Are you comfortable working in a fast-paced environment with changing circumstances and strategy?
- Do you have strong research skills and the ability to adapt your writing style to suit various guidelines and customers?
ASSUMPTION: Amazon's company values and work style may not be suitable for everyone, and applicants should assess their fit with the company's culture before applying.
β οΈ Potential Challenges
- Working with sensitive content and maintaining confidentiality
- Adapting to a fast-paced work environment with changing circumstances and strategy
- Meeting high-quality standards and expectations for training data
- Potential for long hours and overtime during peak periods
ASSUMPTION: Applicants should carefully consider these potential challenges and ensure they are comfortable with the demands of the role before applying.
π Similar Roles Comparison
- This role is similar to other AI Content Expert or Data Annotation positions, but may require more adaptability and flexibility in working with various guidelines and customers.
- Compared to other data-related roles, this position may have a stronger focus on writing and research skills and a lower emphasis on technical or quantitative skills.
- Career progression in this role may involve moving into more senior data annotation or content generation positions, or transitioning into related fields such as data analysis or machine learning.
ASSUMPTION: Applicants should research similar roles and consider their fit with the specific requirements and demands of this position.
π Sample Projects
- Creating and annotating complex training data for Amazon's Large Language Models, such as Alexa or Amazon Web Services
- Working on high-profile projects with cross-functional teams to improve and expand Amazon's AI capabilities
- Developing and implementing quality assurance processes to ensure the accuracy and consistency of training data
ASSUMPTION: The specific projects and tasks in this role may vary depending on the team's needs and the employee's skills and interests.
β Key Questions to Ask During Interview
- Can you describe the team structure and dynamics for this role?
- How does this role contribute to Amazon's overall mission and strategy?
- What opportunities are there for professional growth and development within the Data Team or related departments?
- How does the company support work-life balance for employees in this role?
- What are the most challenging aspects of this role, and how can I best prepare for them?
ASSUMPTION: Applicants should ask thoughtful questions that demonstrate their interest in the role and their fit with the company's culture.
π Next Steps for Applicants
To apply for this position:
- Submit your application through the Amazon Jobs portal
- Tailor your resume to highlight your relevant skills and experiences, such as writing and research skills, attention to detail, and adaptability
- Prepare a cover letter that demonstrates your understanding of the role and your fit for the company, emphasizing your customer focus, passion for invention, and commitment to operational excellence
- If required, prepare a portfolio or examples of your work that showcase your writing and research skills
- Follow up with the hiring manager or HR within one week of submitting your application to express your interest and reiterate your qualifications
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.