📋 Job Details at a Glance 📍 Location Chennai, Tamil Nadu, India 🏢 Company Amazon 👥 Experience Fresher 🎓 Qualification Bachelor’s Degree 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹3–5 LPA 🏢 Industry Technology 🛠 Key Skills ML Data Annotation Data Processing Data Quality Audio Annotation Image Annotation Video Annotation Text Annotation Quality Auditing Data Collection Microsoft Office ML Data Associate I at Amazon — Full Details & How to Apply Amazon is seeking fresh talent for the ML Data Associate I position in Chennai, Tamil Nadu, India , where you'll contribute to AI/ML-powered smart devices. This role offers a unique opportunity to work with cutting-edge data annotation techniques. The demand for machine learning data associates is surging as AI integration in consumer products accelerates, making this role crucial for Amazon's innovation. As the technology landscape evolves, the need for precise data annotation has never been more critical, positioning the ML Data Associate I role at the forefront of this transformation. Amazon , founded in 1994 , employs over 1.5 million people globally and is a leader in e-commerce and cloud computing. This robust platform not only offers a strong foundation for freshers but also fosters a culture of innovation and excellence, making it an ideal employer for aspiring tech professionals. This position is perfect for 2024, 2025, 2026 graduates with a Bachelor’s Degree and fresher experience . With a competitive salary of ₹3–5 LPA , this role provides an excellent entry point into the tech industry. In this role, you will work with essential skills such as ML Data Annotation , Data Processing , and Quality Auditing . The exposure to diverse data types and annotation techniques will not only enhance your technical expertise but also open doors to advanced career opportunities in the tech sector. 📊 Role Difficulty: Low | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The ML Data Associate I at Amazon plays a crucial role in enhancing machine learning models by ensuring high-quality datasets through meticulous data annotation and processing. Annotate audio, image, video, and text data using Amazon's proprietary tools to create reliable datasets for machine learning applications. Utilize Microsoft Office for data processing and reporting, ensuring adherence to Standard Operating Procedures (SOP) for data integrity. Collaborate with the Consumer Robotics team to align data quality standards with product development goals, enhancing overall project outcomes. Monitor and report on data quality metrics , maintaining a 100% data quality score in accordance with Amazon's standards . Take initiative in quality auditing processes to identify and rectify data discrepancies, ensuring continuous improvement in data quality. Document annotation processes and maintain clear communication with team members to ensure consistency across all data-related tasks. Assist in troubleshooting data-related issues, providing solutions that enhance the efficiency of data collection methods. This role fosters an ownership culture where each associate directly impacts the quality of data, contributing to the success of machine learning initiatives at Amazon . Required Skills & Technical Competencies The ideal candidate for the ML Data Associate I position should possess a strong technical skill set focused on data annotation and processing. Technical Skills ML Data Annotation — entry — essential for ensuring the accuracy of datasets used in AI/ML applications, requiring a foundational understanding of machine learning concepts. Data Processing — entry — practical application in organizing and preparing data for analysis, crucial for maintaining data integrity. Quality Auditing — entry — used daily to assess the reliability of annotated data, ensuring compliance with Amazon's high standards . Microsoft Office — entry — proficiency in Excel and Word is necessary for reporting and documentation tasks. Audio Annotation — entry — critical for creating datasets that improve the performance of audio-related machine learning models. Image Annotation — entry — vital for developing accurate image recognition algorithms through precise data labeling. Video Annotation — entry — important for enhancing video analysis capabilities in machine learning applications. Text Annotation — entry — necessary for refining natural language processing models through accurate text data labeling. When showcasing these technical skills in your resume or interview, emphasize specific tools and metrics you have worked with to demonstrate your practical experience. Eligibility Criteria This role is designed for fresh graduates eager to start their careers in technology, particularly those with a strong academic background. Bachelor's degree in any stream is accepted, providing a broad foundation for understanding data-related tasks. Eligible batches include 2024, 2025, and 2026 , allowing fresh graduates to apply early in their career. No prior experience is required, making this role accessible to freshers eager to start their careers in technology. A minimum academic performance of 60% is preferred to ensure a strong foundational knowledge base. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, including your educational background, relevant skills, and any projects that demonstrate your capabilities in data annotation and processing. Pro tip: Highlight any specific projects in your portfolio that showcase your experience with ML Data Annotation and Data Processing to stand out in your application. Salary for ML Data Associate I at Amazon 💰 Compensation ₹3–5 LPA The advertised compensation for the ML Data Associate I role at Amazon is ₹3–5 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for ML Data Associate I Upskilling with the right resources significantly enhances your chances of selection for this specific role by equipping you with essential skills and knowledge. Recommended Courses & Resources Data Processing — This course provides foundational skills in data handling crucial for data annotation tasks. KodNest — Offers practical insights into machine learning applications relevant to data quality and annotation. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight relevant skills and experiences specific to data annotation. ❌ Overlooking communication skills — Clear communication is vital for this role. ❌ Neglecting proofreading — Ensure documentation is free from grammatical errors. ❌ Not demonstrating ML understanding — Show a basic grasp of machine learning concepts in your application. ❌ Ignoring application deadlines — Follow application instructions carefully. ❌ Underestimating teamwork importance — Showcase collaboration in past experiences. Before You Apply — Checklist ✅ Research Amazon's culture and values to align your application with their expectations. ✅ Prepare a tailored resume that highlights relevant skills and experiences. ✅ Gather any necessary documents, including transcripts and certificates, before applying. ✅ Review the job description thoroughly to ensure you meet all requirements. ✅ Practice common interview questions related to data annotation and machine learning. ✅ Set up a professional email address for application communications. ✅ Follow up on your application status after submission if possible. ✅ Be prepared to discuss your understanding of data quality and its importance in AI/ML. Resume Tailoring & ATS Keywords for ML Data Associate I Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include ML Data Annotation Data Processing Data Quality Audio Annotation Image Annotation Video Annotation Text Annotation Quality Auditing Data Collection Microsoft Office English Communication SOP Compliance Resume Tips for This Role Highlight any relevant coursework or projects related to machine learning or data annotation. Emphasize teamwork and collaboration experiences, particularly in tech or academic settings. Include any internships or practical experiences that demonstrate your skills in data processing or quality assurance. Optimize your resume with keywords from the job description to pass through Applicant Tracking Systems (ATS). Avoid including unrelated work experiences that do not showcase your skills relevant to this role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills or experiences that do not directly relate to data annotation or machine learning. How to Apply for ML Data Associate I at Amazon Apply Now — Amazon Visit the Amazon job portal and search for the ML Data Associate I position. Prepare your resume, ensuring it highlights relevant skills and experiences. Fill out the application form carefully, paying attention to detail. After submission, expect a confirmation email regarding your application status. Use the application tracking feature on the portal to monitor your application progress. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Amazon NexisGrow.com does not charge any fees for job applications. Amazon Amazon was founded in 1994 by Jeff Bezos and has grown to become one of the largest technology companies in the world, with its headquarters located in Seattle, USA . With a global workforce of over 1.5 million employees , Amazon has established a significant presence in Chennai, Tamil Nadu, India , contributing to its expansive reach across various markets. Amazon is well-known for its diverse range of products and services, including its leading e-commerce platform, Amazon Web Services (AWS) , and innovative consumer electronics such as the Alexa and Echo devices . Additionally, the company has made strides in logistics and cloud computing, solidifying its position as a technology leader. The culture at Amazon emphasizes customer obsession and innovation, consistently earning high ratings on Glassdoor for employee satisfaction. The company has received numerous accolades, including being listed among the World's Most Admired Companies by Fortune, and offers various employee programs focused on career development and mentorship. Recently, Amazon announced plans to expand its AI capabilities, investing heavily in machine learning technologies to enhance its product offerings. This includes initiatives aimed at improving data processing and quality, which are crucial for roles such as the ML Data Associate I . Joining Amazon as a fresher provides a robust launchpad into the technology industry, with access to comprehensive mentorship and career development programs. The company’s focus on innovation and growth ensures that new employees can build valuable skills and advance their careers in a supportive environment. Company Details Industry Technology Location Chennai, Tamil Nadu, India Connect With Us Careers Apply Now Website 🔗 amazon.jobs Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for ML Data Associate I at Amazon? Eligibility Tap to expand + Answer Candidates with Bachelor’s Degree and Fresher experience are eligible. Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: ML Data Annotation, Data Processing, Data Quality, Audio Annotation, Image Annotation. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹3–5 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Amazon? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: ML Data Annotation, Data Processing, Data Quality, Audio Annotation, Image Annotation. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the ML Data Associate I interview? Preparation Tap to expand + Answer (1) Core concepts of ML Data Annotation, Data Processing, Data Quality, Audio Annotation, Image Annotation, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Amazon research, (5) Clear communication. ? What is the work culture like at Amazon? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Chennai Browse all Tech jobs Latest Fresher jobs More jobs at Amazon Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com