Essential Steps You Have to Follow
✅ Understand the Job Role
Before applying for any position, especially at a prestigious organization like Amazon, it's crucial to carefully read the job description. This gives you insight into the key responsibilities, required skills, and what the company expects from a candidate.
By fully understanding the role, you can:
- Decide if it aligns with your career goals
- Customize your application to match the expectations
- Be prepared for the interview rounds
Reading the job description thoroughly is the first step toward making a smart and confident application.
✅ Match Your Skills
Once you’ve reviewed the job role, evaluate your skills and qualifications. Ask yourself:
- Do you have the necessary technical and soft skills?
- Can you demonstrate problem-solving, communication, and analytical thinking?
- Do you have any experience in data operations, content moderation, or annotation?
For roles like Data Associate I at Amazon, they often look for:
- Detail-oriented individuals
- Strong command over English
- Familiarity with tools like Microsoft Excel
- Basic understanding of e-commerce workflows
Showcase these skills prominently in your resume to stand out from the crowd.
✅ Check Your Eligibility
Make sure you meet the eligibility criteria before applying. For many entry-level roles at Amazon, including Data Associate positions:
- Educational Qualification: Bachelor's degree (any discipline)
- Graduation Years Preferred: 2023, 2024 (sometimes extended to 2021–2025 depending on the role)
- Language Requirement: Proficiency in English (written, spoken, and reading)
- Basic Tech Skills: Experience with Microsoft Office tools
If you satisfy these conditions, you’re good to go!
✅ Prepare Your Documents
Your resume and cover letter play a critical role in your application process. Before applying:
- Update your resume with relevant experience, certifications, or internships
- Highlight your soft skills like teamwork, adaptability, and problem-solving
- Customize your resume based on the job description
- In your cover letter, explain why you want to work at Amazon and how you can contribute to the team
A tailored resume and thoughtful cover letter show effort and can give you an edge during shortlisting.
✅ Research the Company
Before hitting “Apply,” it’s always wise to know the company you're applying to. In this case, that’s Amazon, one of the world’s largest and most influential tech companies.
Here's a quick overview:
Amazon is a global leader in e-commerce, cloud computing (AWS), artificial intelligence, and digital streaming. The company is known for its customer-centric approach, innovation-driven culture, and cutting-edge technologies.
Amazon fosters a dynamic and fast-paced work environment where employees are encouraged to:
- Innovate and take ownership
- Work collaboratively across global teams
- Solve complex problems using technology
Understanding Amazon’s mission to be “Earth’s most customer-centric company” will help you align your values and motivation with theirs, making your application more impactful.
✅ About Amazon
Amazon needs no introduction. But for candidates who want to know more about the company before applying:
Amazon was founded in 1994 by Jeff Bezos and has since grown into one of the most valuable and innovative companies globally. From being an online bookstore to becoming a global tech powerhouse, Amazon now leads in several sectors including e-commerce, logistics, cloud computing (AWS), AI/ML, and more.
At Amazon, you're not just joining a company—you’re joining a movement that transforms industries and touches billions of lives.
📌 Whether you're applying for a Data Associate I role or any other exciting opportunity at Amazon, following these steps can significantly improve your chances of getting shortlisted.
Data Associate I – ML (Job ID: 2698673)
Are you someone who pays attention to details, enjoys working with data, and wants to be a part of one of the world’s most innovative companies? Amazon is currently hiring Data Associates (Level I) in Bangalore, Karnataka for its Human Labeled Data (HLD) team, a key part of the Amazon Search division.
This role is perfect for recent graduates or professionals who want to work on exciting machine learning and artificial intelligence projects that directly impact customer experience.
About the Team – Human Labeled Data (HLD)
When you type something in the Amazon search bar or browse through different product categories, powerful AI and ML systems work behind the scenes to help you find what you need. The HLD team plays a vital role by delivering high-quality data annotation services that power these AI systems.
This team supports multiple internal Amazon teams by helping them train and improve ML models through human-labeled datasets. These datasets improve the performance of search results, ranking, image recognition, product classification, and more. In short, your work will influence millions of customers worldwide!
Job Role: Data Associate I, Machine Learning
Location: Bangalore, Karnataka
Company: Amazon Development Center India (ADCI)
Job ID: 2698673
Employment Type: Full-time
Experience Level: Entry-level / Freshers can apply
What You'll Do (Key Responsibilities)
As a Data Associate, you will provide timely, accurate, and high-quality data annotations for a variety of internal workflows. The job involves reviewing, categorizing, and labeling content based on specific project guidelines. Though the tasks may be repetitive in nature, they play a critical role in training Amazon’s machine learning models.
Your key responsibilities include:
- Meeting daily productivity and quality targets
- Following Standard Operating Procedures (SOPs) accurately
- Updating records and using internal tracking tools efficiently
- Raising flags or concerns proactively to managers
- Supporting process improvement and team collaboration
- Identifying data patterns and trends
- Working on sensitive content when required (such as adult content, tobacco-related content, etc.)
- Troubleshooting minor issues related to tasks and processes
This is a non-coding role and does not require prior technical experience. However, a keen eye for detail, strong communication skills, and a proactive attitude are essential.
✅ Basic Qualifications
To apply for this role, you must meet the following minimum requirements:
- A Bachelor’s degree in any discipline
- Proficiency in English – reading, writing, and speaking
- Experience using Microsoft Office tools, especially Excel and Word
Preferred Qualifications
While not mandatory, these skills can give you an edge in the application process:
- Knowledge of advanced Excel features (pivot tables, data sorting, filtering, VLOOKUP, etc.)
- Basic understanding of e-commerce platforms and how online retail works
- Previous experience in data annotation, content moderation, or quality checking
Work Culture and Environment
At Amazon, diversity, equity, and inclusion aren’t just buzzwords – they’re part of the culture. You’ll work in a fast-paced, team-driven environment where your efforts directly contribute to Amazon’s mission to be the most customer-centric company in the world.
- Flexible work schedules depending on the team/project
- Opportunity to work on AI/ML-backed tools
- Exposure to new technologies and problem-solving approaches
- Great place to start a career in data operations or content review
Who Should Apply?
This role is ideal for:
- Recent graduates looking to start their career in data roles
- Candidates interested in machine learning, AI, or tech-driven projects
- Detail-oriented professionals with good typing and communication skills
- Individuals willing to work with sensitive or explicit content in a professional capacity (with proper training and support)
How to Apply
Interested candidates can apply directly on the Amazon Jobs portal by searching the Job ID: 2698673 or visiting the Amazon India Careers Page.
Note: If you require any accommodations during the application or interview process due to a disability, Amazon provides support.
Important Points to Remember
- This is not a software development or technical coding job
- You must be comfortable working on repetitive data annotation tasks
- Accuracy and attention to detail are more important than speed
- The job may require you to handle sensitive content with professional discretion
- All training will be provided by Amazon
Career Growth Opportunities
Joining as a Data Associate I can be a great stepping stone to:
- Quality Analyst roles
- Data Analyst (after gaining experience)
- Team Lead and managerial positions
- Internal job postings (IJPs) within Amazon across different departments
Many employees who start in this role move into higher-level data or project-based positions after gaining experience.
Final Thoughts
Amazon is looking for enthusiastic, self-motivated, and detail-oriented individuals who are ready to contribute to the next generation of AI systems. If you’re passionate about working on real-world tech challenges while starting a stable career at a globally renowned company, this opportunity is just for you.
Don’t miss out – apply now and be part of something big!
🔔 Stay updated with more job preparation tips, resume advice, and career guidance at Jobseekers Hub
📧 For job alerts and queries: contact@jobseekershub.co.in
📲 Join our Telegram Channel for Instant Job Notifications!
APPLY NOW : CLICK HERE
