Amazon Agentic AI Teacher Jobs 2026 are now open for innovative candidates who want to shape the future of artificial intelligence and Large Language Models. Amazon is investing heavily in generative AI and the responsible development of LLMs across all business verticals, offering exciting opportunities within the AGI Data Services team. This role involves creating high-quality training data that directly impacts how millions of Amazon customers interact with AI systems across multiple business lines.
Job Details
| Company | Amazon |
| Job Role | Agentic AI Teacher , AGI Data Services |
| Location | Hyderabad & Chennai |
| Experience | 0 – 5 Years (Freshers Welcome) |
| Salary | ₹5,26,000 (Expected) |
| Employment Type | Full-time |
| Last Date to Apply | Open until filled |
About The Company
Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. The AGI (Artificial General Intelligence) organization provides AI capabilities for a variety of Amazon products and services. The team provides secure, flexible, cost-effective, and high-quality data development services to customers, enabling them to build advanced machine learning models. Amazon’s commitment to innovation and cutting-edge technology makes it one of the most sought-after employers in the AI and machine learning domain.
Eligibility Criteria
Education:
- Bachelor’s degree in a relevant field (Computer Science, Linguistics, Data Science, AI/ML, or related discipline)
- Equivalent professional experience may be considered
Language Proficiency:
- Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) – Mandatory
Skills:
- Proven experience working with written language data, including annotation and other forms of data markup
- Familiarity with critical concepts such as Python, scripting languages, and data structures
- Strong technical documentation interpretation skills
- Ability to make sound judgments with ambiguous or incomplete information
Preferred Qualifications:
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- Experience managing stakeholder relationships across departments
- Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by CEFR standards)
- Experience with Python and SQL for data processing automation
Roles & Responsibilities
As an Agentic AI Teacher at Amazon, you will play a crucial role in advancing generative AI capabilities. Your key responsibilities include:
- Create and annotate high-quality complex training data in multiple modalities including text, image, and 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
- Utilize Python and SQL to automate and optimize data processing workflows for efficiency
- Interpret technical documentation to implement solutions accurately and independently
- Dive deep into complex issues and implement solutions with minimal supervision
- Identify and report tooling bugs and suggest improvements to enhance team productivity
- Make sound judgments and logical decisions when faced with ambiguous or incomplete information
- Deliver high-quality training data to improve and expand Amazon’s proprietary LLM capabilities
Selection Process
The Amazon hiring process for Agentic AI Teacher positions typically involves multiple comprehensive stages:
- Online Application: Create an Amazon.jobs account and submit your complete profile with resume or LinkedIn profile
- Initial Screening: HR team reviews your application to assess alignment with job requirements, checking qualifications, skills, and relevant experience
- Phone Screening: A recruiter conducts a phone interview to discuss your background, career goals, and interest in the role
- Technical Assessment: Evaluation of your Python, SQL, data annotation skills, and language proficiency through assessments or work sample tests
- Behavioral Interviews: Amazon uses Leadership Principles-based questions to assess cultural fit and problem-solving abilities
- Final Interview Round: Virtual or in-person interviews focusing on technical expertise, data handling experience, and situational judgment
- Offer and Onboarding: Selected candidates receive comprehensive compensation packages including base pay, equity, sign-on payments, and benefits
How to Apply For Amazon Agentic AI Teacher Jobs 2026
Interested candidates can apply online through the official Amazon Jobs portal. Follow these steps:
- Visit the official Amazon Jobs website Click here to apply
- Create an Amazon.jobs account or log in if you already have one
- Complete your profile with accurate contact information, work history, education, and skills
- Upload your updated resume or link your LinkedIn profile
- Answer job-specific questions related to your experience with data annotation, Python, and language proficiency
- Complete work style or work sample assessments within the 3-hour application window
- Review all information carefully before clicking “Submit Application”
- You will receive a confirmation email acknowledging your application
Note: Amazon provides workplace accommodations for candidates with disabilities during the application and hiring process. Visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Preparation Tips
To increase your chances of success in securing this Amazon Agentic AI Teacher position:
- Master Python and SQL: Strengthen your programming skills with focus on data processing, automation, and workflow optimization
- Understand AI/ML Concepts: Familiarize yourself with Large Language Models (LLMs), generative AI, training data creation, and annotation techniques
- Enhance Language Skills: Ensure your English proficiency meets C1+ CEFR standards through practice and certification if needed
- Study Amazon Leadership Principles: Review Amazon’s 16 Leadership Principles and prepare STAR (Situation, Task, Action, Result) format examples
- Practice Data Annotation: Gain hands-on experience with text, image, and video annotation tools and methodologies
- Technical Documentation: Practice interpreting complex technical documents and implementing solutions based on guidelines
- Mock Interviews: Prepare for behavioral questions like “Tell me about yourself,” “Why Amazon,” and scenario-based problem-solving questions
- Portfolio Preparation: If possible, showcase any previous work with language data, annotation projects, or AI-related contributions
Important Dates
| Application Start Date | Currently Open |
| Last Date to Apply | Open until filled |
| Exam/Interview Date | [Date if available] |
Note: This is an ongoing recruitment, and Amazon accepts applications on a rolling basis. Early application is recommended to increase your chances of being considered.
