Job Overview
Amazon is hiring ML Data Associate I professionals for its 11-month Direct Contract role. This opportunity is ideal for graduates who want to begin a career in Artificial Intelligence (AI), Machine Learning (ML), Data Annotation, and Quality Operations.
You will work on real-world AI projects involving image, audio, video, and text annotation to improve Amazon's smart devices and machine learning systems.
Key Job Highlights
| Category | Details |
|---|---|
| Company | Amazon |
| Job Role | ML Data Associate I |
| Job ID | 10460561 |
| Employment Type | Full-Time Direct Contract (11 Months) |
| Qualification | Bachelor's Degree |
| Experience | Freshers & Graduates |
| Industry | Artificial Intelligence / Machine Learning |
| Language Requirement | Fluent English |
| Tools | Microsoft Office |
About Amazon
Amazon develops some of the world's most advanced Artificial Intelligence and Machine Learning technologies. Its AI teams build solutions for smart devices, computer vision, voice assistants, edge computing, and intelligent automation used by millions of customers worldwide.
Job Responsibilities
As an ML Data Associate I, you will:
- Annotate image, audio, video, and text datasets.
- Generate high-quality training data for Machine Learning models.
- Follow standard operating procedures (SOPs).
- Maintain high accuracy while performing repetitive annotation tasks.
- Review and audit annotation quality.
- Verify processed data before submission.
- Track daily productivity targets.
- Report issues through internal portals.
- Follow confidentiality and compliance policies.
- Test new annotation tools and SOPs.
- Collaborate with internal teams.
- Ensure data quality for AI model development.
Required Skills
Technical Skills
- Data Annotation
- AI Data Labeling
- Machine Learning Fundamentals
- Microsoft Office
- Documentation
- Data Verification
- Quality Assurance
Language Skills
- Fluent English Reading
- Fluent English Writing
- Grammar
- Language Quality
- Linguistic Understanding
Soft Skills
- Attention to Detail
- Time Management
- Communication Skills
- Analytical Thinking
- Problem Solving
- Teamwork
- Adaptability
- Quality Focus
Basic Qualifications
- Bachelor's Degree
- Excellent English communication skills
- Strong reading and writing ability
- Knowledge of Microsoft Office applications
Preferred Qualifications
- Familiarity with US culture
- Flexible to work shifts
- Comfortable working weekends and holidays if required
- Ability to adapt to changing instructions
- Strong quality mindset
ATS Keywords
Use these naturally in your resume if they accurately reflect your experience:
Machine Learning, Artificial Intelligence, Data Annotation, Data Labeling, Data Processing, Image Annotation, Video Annotation, Audio Annotation, Text Annotation, AI Training Data, Ground Truth Data, Data Quality, Quality Assurance, Microsoft Office, Excel, Documentation, English Communication, Grammar, Linguistics, SOP, Process Compliance, Productivity Tracking, Quality Audit, Data Verification, Reporting, Analytical Skills, Attention to Detail, Team Collaboration, Problem Solving.
ATS Resume Tips
To improve your ATS score:
- Highlight projects involving data analysis or annotation.
- Mention Microsoft Excel, Word, and PowerPoint proficiency.
- Include communication and English language skills.
- Showcase attention to detail and quality-focused work.
- Add academic projects related to AI, ML, NLP, or data processing if applicable.
- Mention internships, certifications, or coursework in Artificial Intelligence, Machine Learning, or Data Analytics.
Why Join Amazon?
- Work on cutting-edge AI and Machine Learning projects.
- Gain hands-on experience with real-world data annotation.
- Learn industry-standard quality processes.
- Exposure to computer vision and language technologies.
- Opportunity to work with global engineering teams.
- Build valuable experience for future AI, Data, and Operations careers.
Who Should Apply?
This role is ideal for:
- Fresh Graduates
- Bachelor's Degree Holders
- Computer Science Graduates
- IT Graduates
- Engineering Graduates
- Arts and Science Graduates with strong English skills
- Candidates interested in AI and Machine Learning
- Data Operations Professionals
Interview Preparation Tips
Prepare the following topics:
- Artificial Intelligence Basics
- Machine Learning Fundamentals
- Data Annotation Concepts
- Microsoft Excel
- English Grammar
- Reading Comprehension
- Quality Assurance Basics
- Attention to Detail Exercises
- Communication Skills
- Situational Interview Questions
Frequently Asked Questions
Is this a permanent role?
No. This is an 11-month direct contract position on Amazon's payroll.
Can freshers apply?
Yes. Graduates with strong English communication skills are encouraged to apply.
Is prior Machine Learning experience required?
No. Prior ML experience is not mandatory, but an interest in AI and data annotation is beneficial.
What qualification is required?
A Bachelor's degree is required.
Is Microsoft Office knowledge mandatory?
Yes. Basic knowledge of Microsoft Office applications is required.
Final Thoughts
If you're looking to start a career in Artificial Intelligence, Machine Learning, Data Annotation, or AI Operations, the Amazon ML Data Associate I role is an excellent opportunity. It provides hands-on exposure to real-world AI datasets, industry-standard quality processes, and advanced machine learning workflows. Tailor your resume with relevant ATS keywords, emphasize your English communication skills, and showcase your attention to detail to maximize your chances of getting shortlisted.
APPLY HERE : ML Data Associate I