Are you looking to start your career with one of the world’s leading tech giants? Amazon is hiring for the role of ML Data Associate 2 in Chennai. This is an exciting opportunity for freshers and experienced candidates (0–5 years) to work in the field of Artificial Intelligence (AI) and Machine Learning (ML).
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
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🔥 Job Overview – ML Data Associate 2 at Amazon
- Company: Amazon
- Role: ML Data Associate 2
- Location: Chennai (On-site)
- Experience: 0 – 5 years
- Salary: ₹4 – ₹5 LPA
- Job Type: Full-Time (Walk-in Drive)
📅 Walk-In Drive Details
- Dates: 26 June – 28 June
- Time: 8:00 AM – 2:00 PM
- Venue:
Amazon Development Center,
Infinity Tower, Ramanujan IT City,
Rajiv Gandhi Salai, Taramani,
Chennai, Tamil Nadu – 600113
📞 Contact: Udhay
✅ Eligibility Criteria
- Any graduate can apply (Engineering, Arts, Science, Commerce – All Streams)
- Freshers & experienced (0–5 years) are eligible
- Excellent English communication skills (written & verbal)
- Strong attention to detail
- Ability to handle text, image, speech, audio & video datasets
🧠 Roles & Responsibilities
- Label and annotate text, speech, audio, image, and video data for machine learning models
- Ensure high-quality labeled data adhering to Amazon’s standards
- Maintain strict confidentiality and data privacy
- Analyze errors, suggest improvements, and ensure task accuracy
- Handle multiple tasks and adapt quickly to new categories
- Work with in-house tools and software to deliver high-quality AI data
🎯 Skills Required
- Good analytical & logical thinking
- Basic knowledge of AI/ML is a plus (not mandatory)
- Detail-oriented with the ability to multitask
- Ability to handle ambiguity and make sound judgments
⭐ Benefits at Amazon
- Competitive Salary (₹4–₹5 LPA)
- Exposure to AI/ML projects
- Work with one of the biggest tech companies globally
- Career growth in AI, Data Operations & Technology
- Employee benefits as per company policy
🚀 Why Join Amazon as ML Data Associate?
- Be part of Amazon’s Generative AI revolution
- Opportunity to work on the most cutting-edge AI tools
- Build a career in the most in-demand field – Artificial Intelligence and Machine Learning
- No coding required – just strong analytical skills and attention to detail!
🔗 How to Apply?
✅ Direct Walk-In to the venue between 8 AM – 2 PM (26-28 June)
Bring the following:
- Updated Resume
- Government ID proof
- Passport size photos
🔥 Conclusion:
This is a golden opportunity to kickstart your career with Amazon, especially if you are looking for jobs related to data operations, AI, and machine learning without coding. Don’t miss this Walk-in Drive from 26 June to 28 June at Amazon, Chennai.
Apply now, and step into the future with Amazon AI!
Time and Venue
26 June – 28 June , 8.00 AM – 2.00 PM
Amazon Development Center, Infinity Tower.Ramanujan IT City,Rajiv Gandhi Salai, Taramani, Chennai, Tamil Nadu 600 113, India
Contact – Udhay
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Overview
From an online bookstore to one of the world’s largest e-commerce platforms, Amazon has emerged as the top player in the industry since its inception in 1994. Amazon has built an extensive online marketplace across continents, empowering its customers with a catalog encompassing products from A-Z. Amazon strives to be the world’s most customer-centric company, a purpose that has powered multiple breakthroughs in our delivery, supply chain, and customer support services. In the pursuit of operational efficiency, tech innovations have become the cornerstone of the organization. This has led to the pioneering of new services, most notably within the entertainment, publishing, finance, IT, cloud computing, AI, and Machine Learning industries.