Amazon Hiring 2025 – Associate, ML Data Operations (GO-AI)
📅 Last Updated: January 2026 | ⚡ Freshers & Graduates | ☁️ AI Operations & Data Services ✅ Reviewed by PavanAmazon Development Centre India is hiring for the position of Associate, ML Data Operations within the GO-AI (Global Outsourcing - Artificial Intelligence) team. This is a fantastic opportunity for fresh graduates (Batch 2024/2025) to start their career in the Artificial Intelligence and Machine Learning domain by supporting data annotation and operational excellence.
- Company: Amazon
- Role: Associate, ML Data Operations
- Job ID: 3134257
- Experience: 0 - 2 Years (Freshers Welcome)
- Location: Multiple (Typically Hyderabad/Bangalore/Chennai)
- Salary: Best in Industry (Base + Benefits)
- Batch: 2023 / 2024 / 2025
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About Amazon GO-AI
The GO-AI (Global Outsourcing - Artificial Intelligence) team at Amazon plays a critical role in providing human-annotated data to train Amazon's Machine Learning models. This team ensures that products like Alexa, Amazon Video, and Amazon Shopping understand and respond to user requests accurately. You will be working in an environment that prioritizes operational excellence and data quality.
Job Overview & Eligibility Criteria
| Category | Details |
|---|---|
| Company | Amazon Development Centre |
| Job ID | 3134257 |
| Role | Associate, ML Data Operations |
| Qualification | Any Graduate (B.Tech, B.Sc, B.Com, B.A, etc.) |
| Experience | Freshers / 0-2 Years |
| Skills | Data Analysis, Logical Reasoning, MS Excel |
Job Responsibilities
As an Associate in ML Data Operations, you will be responsible for the accuracy and quality of data used to train ML models. Your key responsibilities include:
- Data Annotation: Process and annotate data (text, image, video, or audio) according to specific guidelines.
- Quality Assurance: Maintain high accuracy and meet daily throughput and Service Level Agreements (SLAs).
- Analysis: Identify patterns in data and provide feedback to improve the ML model training process.
- Reporting: Work with MS Excel to track performance metrics and report issues to stakeholders.
- Collaboration: Communicate effectively with internal teams to resolve subject matter queries.
🔍 Selection Process Breakdown
The selection process for the GO-AI Associate role is designed to test your communication skills, logical thinking, and attention to detail. It typically consists of 3-4 rounds:
Once you apply via the link below, your resume is screened. Ensure your resume highlights "Detail Oriented", "Excel", and "Operational Excellence".
This is the most critical stage. It usually includes:
- Versant Test (English): Tests listening, speaking, reading, and grammar. You must have a quiet environment for this.
- Aptitude & Logical Reasoning: Multiple-choice questions on patterns, puzzles, and basic math.
- Work Style Assessment: Behavioral questions to see if you fit Amazon's culture (Leadership Principles).
A 30-45 minute video interview with a Team Manager.
- Focuses on situational questions (e.g., "How do you handle repetitive work?").
- Tests your understanding of the job role (GO-AI).
- Checks for shift flexibility (Rotational/Night shifts are common).
📚 Syllabus & Preparation Material
To clear the assessment and interview, focus on these specific areas:
Difficulty: Medium
- Sentence Completion: Fill in the blanks with the correct grammar.
- Passage Reconstruction: Read a paragraph and summarize it in your own words.
- Listening: Listen to a recorded sentence and repeat it exactly.
- Voice: Ensure your pronunciation is clear; avoid background noise.
Difficulty: Easy to Medium
- Logical: Series completion, Blood Relations, Syllogisms, and Data Interpretation.
- Excel: You might be asked verbal questions on VLOOKUP, HLOOKUP, Pivot Tables, and Conditional Formatting.
🗣️ Common Interview Questions (Real Examples)
Prepare answers for these frequently asked questions for the ML Data Associate role:
- Behavioral (STAR Method): "Tell me about a time you had to work under a tight deadline. How did you manage?"
- Role Fitment: "This role involves watching videos or annotating text for 8 hours a day. It can be repetitive. How will you maintain focus?"
- Process: "If you find an error in the SOP (Standard Operating Procedure), what would you do?" (Hint: Flag it to the manager immediately).
- Flexibility: "Are you comfortable working in rotational shifts, including night shifts?"
- Why Amazon? Connect your answer to their Leadership Principles (e.g., Customer Obsession).
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📝 Resume Tips for GO-AI
To get shortlisted for Amazon ML Data Ops, your resume must highlight operational skills and data familiarity.
Use terms that match the JD.
Example: "Managed large datasets using Excel and ensured 99% accuracy in data entry."
- Keywords: Include Data Annotation, Quality Assurance, SLA, MS Office, Team Player.
- Academic Projects: Highlight any project involving data analysis or research.
🚀 Top Openings (Apply Now)
Before applying for Amazon, check these top-tier opportunities from your sitemap:
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Disclaimer
This post is for informational purposes only. We are not affiliated with Amazon. Always verify job details on the official careers page.
How to Apply
- Click the Official Apply Link below.
- You will be redirected to the Amazon Jobs portal (Job ID: 3134257).
- Click "Apply Now".
- Log in with your Amazon Jobs account (or create one).
- Upload your updated Resume and fill in the candidate details.
| Option | Action / Link | Notes |
|---|---|---|
| Join Telegram | Join Channel | Daily Updates |
| Join WhatsApp | Join Channel | Fast Alerts |
| Apply – Amazon | Apply Here (Official) | Job ID: 3134257 |
| Apply – Google | Apply Here | Associate Role |
| Apply – Infosys | Apply Here | System Engineer |
| Apply – Mercor | Apply Here | Remote Engineer |
Frequently Asked Questions
Who is eligible for Amazon ML Data Operations role?
Candidates with a Bachelor's degree (Any Stream) or Master's degree. Freshers from 2023, 2024, and 2025 batches are strongly encouraged to apply.
Is there an Online Assessment (OA)?
Yes, usually there is an online test that assesses English proficiency (Versant), logical reasoning, and attention to detail.
What is the salary for ML Data Associate?
While exact figures depend on the offer, the package is competitive for operations roles in India, often including base pay, shift allowances, and other benefits.
Pro Tip: For this role, focus on accuracy and consistency. Highlight any experience where you had to work with data or follow strict guidelines.
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