📋 Job Details at a Glance 📍 Location Hyderabad, Telangana, India 🏢 Company Amazon 👥 Experience 1-3 years 🎓 Qualification Bachelor's degree 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹3.5 – ₹5.0 LPA 🏢 Industry Technology 🛠 Key Skills data operations content moderation linguistic research text analysis secondary research Microsoft Office ML Data Associate-II, Artificial General Intelligence at Amazon — Full Details & How to Apply Amazon is seeking an ML Data Associate-II in Hyderabad, Telangana, India , where you can contribute to training foundational AI models and enhancing linguistic datasets. This role offers a unique chance to work directly with data operations and content moderation, shaping the future of artificial intelligence. The demand for AI and machine learning roles is surging, with companies increasingly relying on data-driven insights for decision-making. The ML Data Associate-II, Artificial General Intelligence position at Amazon is pivotal in ensuring that AI models accurately understand and process language, which is crucial for enhancing user experience and driving innovation in technology. What sets Amazon apart as an employer is its scale and commitment to innovation. Founded in 1994 , Amazon has grown into a global leader in e-commerce and cloud computing, employing over 1.5 million people worldwide. This role not only provides exposure to advanced data operations but also places you at the forefront of linguistic research, making it a standout opportunity in the tech industry. We encourage 2022, 2023, 2024, 2025 graduates with a Bachelor's degree and 1-3 years experience to apply. This position offers a competitive salary ranging from ₹3.5 – ₹5.0 LPA , making it an attractive entry point into the tech field. In this role, you will develop essential skills in data operations , content moderation , linguistic research , text analysis , and secondary research . Working with Microsoft Office tools will further enhance your capabilities, opening doors to advanced career opportunities in AI and machine learning. 📊 Role Difficulty: Medium | 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-II at Amazon plays a crucial role in enhancing Artificial General Intelligence by ensuring high-quality datasets for AI training through meticulous annotation and evaluation. Annotate complex linguistic datasets using specific guidelines to ensure high-quality data for AI training, leveraging text analysis skills. Utilize Microsoft Office for documentation and reporting tasks, ensuring clear communication of findings to stakeholders. Collaborate with the AI research team to evaluate system responses and identify areas for improvement, applying data operations expertise. Monitor data quality metrics to maintain a 100% data quality score, crucial for model accuracy, demonstrating attention to detail. Take initiative in identifying and resolving data inconsistencies or formatting anomalies in datasets, enhancing overall data integrity. Document operational processes and findings to support team knowledge sharing and training, utilizing content moderation techniques. Engage in problem-solving discussions with stakeholders to address client-facing challenges related to AI outputs, showcasing strong communication skills. This role fosters an ownership culture, allowing you to make a direct impact on the quality and effectiveness of AI systems at Amazon . Required Skills & Technical Competencies The ideal candidate will possess a diverse skill set that combines technical proficiency with strong communication abilities, essential for the ML Data Associate-II role at Amazon . Technical Skills Data operations — intermediate — essential for managing and processing large datasets with precision. Content moderation — intermediate — applied in reviewing and ensuring the accuracy of AI-generated content. Linguistic research — entry — enhances your ability to contribute to nuanced data analysis. Text analysis — intermediate — used daily to evaluate linguistic data and improve model performance. Microsoft Office — intermediate — necessary for effective documentation and reporting tasks. Soft Skills & Professional Competencies Strong communication skills — vital for collaborating with cross-functional teams and presenting findings clearly. Attention to detail — crucial for maintaining high data quality and identifying inconsistencies. Problem-solving abilities — necessary for addressing challenges related to AI outputs effectively. Initiative — important for proactively identifying and resolving data issues in datasets. Good to Have (Bonus Skills) Experience in linguistic research — provides insights into nuanced data analysis. Familiarity with AI model evaluation — enhances understanding of machine learning algorithms. Knowledge of secondary research techniques — aids in gathering relevant data to support AI projects. When showcasing these skills in your resume or interview, emphasize specific examples of how you've applied them in past roles or projects. Eligibility Criteria This role is designed for recent graduates and early-career professionals eager to contribute to AI advancements at Amazon . A Bachelor's degree in any discipline is required, with degrees in Linguistics, Literature, Journalism, or Communication being advantageous. Eligible batches include 2022, 2023, 2024, and 2025 , allowing recent graduates to apply. 1-3 years of experience in data operations or related fields is preferred, but freshers with relevant skills are encouraged to apply. A minimum academic performance of 60% or equivalent CGPA is expected to ensure a strong foundational knowledge. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting relevant skills and experiences, and include links to your portfolio or GitHub showcasing your projects. Pro tip: Tailor your application to emphasize your experience with data operations and text analysis to stand out in the selection process. Salary for ML Data Associate-II, Artificial General Intelligence at Amazon 💰 Compensation ₹3.5 – ₹5.0 LPA The advertised compensation for the ML Data Associate-II, Artificial General Intelligence role at Amazon is ₹3.5 – ₹5.0 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Amazon The selection process for the ML Data Associate-II, Artificial General Intelligence role at Amazon is designed to assess both technical skills and cultural fit. 1 Online Assessment — 60 minutes, tests data operations and analytical skills through MCQs. 2 Technical Interview — focuses on data analysis, text processing, and AI concepts. 3 Behavioral Interview — assesses cultural fit and problem-solving abilities through situational questions. 4 HR Interview — discusses offer details and company culture, typically within a week of the last round. Topic-wise Preparation Guide Round 1: Online Assessment Data operations — understanding data management principles is crucial for this role. — GeeksForGeeks Text analysis techniques — familiarity with methods used in linguistic research. — Khan Academy Microsoft Office proficiency — essential for documentation tasks. — LinkedIn Learning Attention to detail — practice identifying errors in sample datasets. — freeCodeCamp Round 2: Technical Interview AI model evaluation — understanding how to assess machine learning outputs. — Coursera Data quality metrics — knowledge of maintaining high data quality standards. — GeeksForGeeks Linguistic research methodologies — depth in analyzing language data. — Khan Academy Content moderation practices — techniques for reviewing AI-generated content. — YouTube Secondary research techniques — skills in gathering and analyzing external data. — NPTEL Round 3: Behavioral Interview Behavioral questions using the STAR method — prepare scenarios relevant to teamwork and problem-solving. Conflict resolution — examples of handling disagreements in a professional setting. Technical deep-dive on AI concepts — be ready to discuss specific technologies used in the role. Timeline & Expectations The application process typically takes 2-4 weeks from submission to offer, depending on the number of candidates. Prepare thoroughly for each round, as Amazon values both technical expertise and cultural alignment. Expected Interview Questions for ML Data Associate-II, Artificial General Intelligence at Amazon These questions are based on the role's actual tech stack and responsibilities. Technical Questions What techniques do you use for text analysis in linguistic datasets? How would you evaluate the performance of an AI model? Can you explain the importance of data quality metrics? What tools have you used for data operations? Describe your experience with content moderation. How do you ensure accuracy in data annotation? Behavioral Questions Describe a time you had to work under pressure to meet a deadline. How do you handle constructive criticism? Give an example of a successful team project you contributed to. What motivates you to work in the field of AI and data operations? Role-Specific Questions What challenges do you anticipate in annotating linguistic datasets? How would you approach a situation where you find inconsistencies in data? What do you believe is the most critical skill for an ML Data Associate? Structure your answers using the STAR method to clearly articulate your experiences and thought processes. Resume Tailoring & ATS Keywords for ML Data Associate-II, Artificial General Intelligence Optimizing your resume for ATS is crucial for standing out in the application process. ATS Keywords to Include ML Data Associate data operations content moderation linguistic research text analysis Microsoft Office secondary research attention to detail data quality AI models communication skills problem-solving Resume Tips for This Role Highlight relevant coursework or projects related to data operations and AI. Emphasize any experience with linguistic research or content moderation. Include links to your portfolio or GitHub showcasing relevant work. Optimize for ATS by using keywords from the job description. Avoid including unrelated work experience that does not demonstrate your skills for this role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include irrelevant work experience that does not showcase your qualifications for the role. About Amazon Founded in 1994 , Amazon has evolved from an online bookstore to a global technology giant with a presence in over 20 countries . Headquartered in Seattle, Washington , the company employs over 1.5 million people worldwide, showcasing its expansive reach and influence in the tech industry. Amazon's core offerings include Amazon Web Services (AWS) , Kindle , and Prime Video , which cater to millions of customers globally. The company continuously innovates, providing a diverse range of products and services that enhance user experiences and streamline operations across various sectors. The company culture at Amazon emphasizes innovation and customer obsession , earning a 4.3-star rating on Glassdoor for employee satisfaction. Programs like Career Choice empower employees to pursue education and training in high-demand fields, fostering a supportive work environment. Recently, Amazon announced a significant investment of $1 billion in AI technologies, aiming to enhance user experience and operational efficiency. This initiative aligns with the company's long-term strategy to integrate advanced technologies into its services, further solidifying its position as a leader in the tech industry. Joining Amazon as a fresher provides unparalleled access to cutting-edge technology and mentorship from industry leaders. The company's commitment to employee development ensures a strong foundation for a successful career, particularly in the rapidly evolving field of technology. Why Join Amazon as ML Data Associate-II, Artificial General Intelligence? As an ML Data Associate-II, you will gain invaluable experience in AI data annotation tools, essential for developing advanced machine learning models that drive innovation at Amazon. Hands-On Experience — Work directly with AI data annotation tools, enhancing your practical skills in machine learning. Linguistic Research Exposure — Engage with methodologies that deepen your understanding of language processing and text analysis. Career Advancement — Opportunities to transition into roles like Data Scientist or AI Researcher within 1-2 years , based on performance. Continuous Learning — Benefit from a culture that promotes ongoing education and collaboration, essential for personal growth. Networking Opportunities — Living in Hyderabad , a tech hub, provides access to numerous tech events and professional connections. According to NexisGrow.com, the role of ML Data Associate-II at Amazon offers a unique blend of hands-on experience and career growth potential, making it an ideal starting point for aspiring professionals in the technology sector. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for ML Data Associate-II, Artificial General Intelligence at Amazon? Eligibility Tap to expand + Answer Candidates with Bachelor's degree and 1-3 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: data operations, content moderation, linguistic research, text analysis, secondary research. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹3.5 – ₹5.0 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: data operations, content moderation, linguistic research, text analysis, secondary research. ? 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-II, Artificial General Intelligence interview? Preparation Tap to expand + Answer (1) Core concepts of data operations, content moderation, linguistic research, text analysis, secondary research, (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 Hyderabad Browse all Tech jobs More jobs at Amazon Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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