π Core Information
πΉ Job Title: AI Content Expert
πΉ Company: Amazon
πΉ Location: Hyderabad, Telangana, India
πΉ Job Type: Contract (12 months)
πΉ Category: AI & Machine Learning
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 improve data quality and tooling
- Performing audits and quality checks of tasks completed by other specialists
- Making informed decisions and solving problems independently
ASSUMPTION: This role requires a strong attention to detail, excellent writing skills, and the ability to adapt to different writing styles and guidelines.
π Key Responsibilities
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Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
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Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
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Perform audits and quality checks of tasks completed by other specialists, if required
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Make sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
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Dive deep into issues and implement solutions independently
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Identify and report tooling bugs and suggest improvements
ASSUMPTION: The role may involve working with sensitive content, requiring comfort and discretion.
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 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
ASSUMPTION: While not explicitly stated, proficiency in English is likely required for this role due to the nature of the work.
π° Compensation & Benefits
Salary Range: INR 600,000 - 1,200,000 per annum (Estimated based on industry standards for AI Content Experts with 2-5 years of experience in Hyderabad)
Benefits:
- Health, vision, and dental insurance
- Retirement savings plan
- Paid time off (vacation, sick, and holidays)
- Maternity and paternity leave
- Employee discounts
Working Hours: Full-time (40 hours per week)
ASSUMPTION: The salary range is an estimate based on industry standards and may vary depending on the candidate's experience and skills.
π Applicant Insights
π Company Context
Industry: Amazon operates in the e-commerce, retail, and technology sectors, with a focus on innovation and customer obsession.
Company Size: Amazon is a large corporation with over 10,000 employees worldwide, offering a structured environment with ample resources and growth opportunities.
Founded: Amazon was founded in 1994 by Jeff Bezos and is headquartered in Seattle, Washington, 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 embraces new ways of doing things, makes decisions quickly, and is not afraid to fail.
Company Specialties:
- E-commerce platform and services
- Retail operations and logistics
- Cloud computing and AI services (Amazon Web Services)
- Consumer electronics (Kindle, Fire tablets, Echo devices)
- Digital content and streaming services (Amazon Prime Video, Amazon Music)
Company Website: Amazon.com
ASSUMPTION: Amazon's large size and diverse business segments offer numerous opportunities for career growth and development.
π Role Analysis
Career Level: This role is at the intermediate level, requiring some experience in AI content creation and data annotation.
Reporting Structure: The AI Content Expert will report directly to the Data Team.
Work Arrangement: This is an on-site role, requiring the candidate to work from Amazon's Hyderabad office.
Growth Opportunities:
- Potential to transition into a full-time role or take on more responsibilities within the Data Team
- Opportunities to work on diverse projects and collaborate with various teams
- Chance to develop skills in AI and machine learning through hands-on experience
ASSUMPTION: Given Amazon's size and diverse business segments, there are ample opportunities for career growth and development within the company.
π Location & Work Environment
Office Type: Amazon's Hyderabad office is a modern, collaborative workspace with a mix of open and closed offices.
Office Location(s): Hyderabad, Telangana, India
Geographic Context:
- Hyderabad is the capital city of Telangana, located in southern India
- The city is known for its historical sites, cultural events, and IT industry
- Hyderabad has a tropical wet and dry climate, with hot summers and mild winters
Work Schedule: The work schedule is typically Monday to Friday, with flexible hours depending on the project and team.
ASSUMPTION: Hyderabad offers a mix of cultural, historical, and modern experiences, providing a unique work-life balance for employees.
πΌ Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screening with the hiring manager
- In-depth technical assessment and interview with the Data Team
- Final round interview with the hiring manager or a panel of team members
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 to highlight relevant skills and experiences related to AI content creation and data annotation
- Prepare a cover letter explaining your interest in the role and how your skills and experiences make you a strong fit
- If applicable, include a portfolio or examples of your previous work to showcase your writing and annotation skills
ATS Keywords: AI Content Expert, Data Annotation, Writing Skills, Research Skills, Attention to Detail, Problem Solving, Amazon, Hyderabad
ASSUMPTION: The interview process may vary depending on the specific team and role, but typically involves multiple rounds of assessments and interviews.
π οΈ 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: Familiarity with these tools and technologies is likely required for this role, as they are commonly used in AI content creation and data annotation.
π 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 understanding of U.S.-based culture, society, and norms?
- Are you comfortable working in a fast-paced environment with changing circumstances, direction, and strategy?
- Do you have excellent writing, reading, and comprehension skills in English (C1 level in the Common European Framework CEFR scale)?
ASSUMPTION: Amazon's work culture is fast-paced, collaborative, and focused on innovation, requiring employees to be adaptable, detail-oriented, and customer-focused.
β οΈ Potential Challenges
- Working with sensitive content may require additional discretion and comfort
- The fast-paced nature of the role may require quick decision-making and adaptability
- The on-site work arrangement may have commuting and work-life balance implications
- Hyderabad's tropical climate may affect comfort during certain times of the year
ASSUMPTION: These challenges can be mitigated by careful consideration of personal preferences, effective time management, and proper self-care.
π Similar Roles Comparison
- Compared to other AI Content Expert roles, this position may offer more exposure to diverse data types and topics
- Amazon's large-scale operations and focus on innovation may provide more opportunities for career growth and development
- As a contract role, this position may offer less job security but more flexibility compared to full-time roles
ASSUMPTION: When comparing similar roles, consider the company's size, industry, and culture to find the best fit for your career goals and personal preferences.
π Sample Projects
- Creating and annotating training data for a new Large Language Model focused on technical or scientific content
- Developing and refining guidelines for writing complex, high-quality training data in multiple modalities
- Performing audits and quality checks on tasks completed by other specialists, ensuring consistency and accuracy
ASSUMPTION: These sample projects illustrate the diverse and complex nature of the AI Content Expert role at Amazon.
β Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the Data Team?
- How does the Data Team collaborate with other teams, such as Scientists and Engineers, to improve data quality and tooling?
- What are the most challenging aspects of working as an AI Content Expert at Amazon, and how can I best prepare for them?
- What opportunities are there for growth and development within the Data Team and Amazon as a whole?
- How does Amazon support work-life balance for its employees, particularly for on-site roles?
ASSUMPTION: Asking thoughtful questions demonstrates your interest in the role and provides valuable insights into the work environment and company culture.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume to highlight your relevant skills and experiences in AI content creation and data annotation
- Prepare a cover letter explaining your interest in the role and how your skills and experiences make you a strong fit
- If applicable, include a portfolio or examples of your previous work to showcase your writing and annotation skills
- Follow up with the hiring manager or recruiter within a week after 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.