Job Title: ML Data Associate-II
Job ID: 3031016
Location: Hyderabad, Telangana, India (On-site)
Employment Type: Fixed-Term Contract (12 Months)
Experience: 6 months to 1 year in data management or data labeling
Salary: As per Industry Standards
Qualification: Associate’s or Bachelor’s Degree in Computer Science, Data Analytics, IT, or related field
Certifications if any: Preferred certifications in AI, Data Annotation, Power BI, or NLP
About Us
Amazon is a global technology company driven by innovation, customer obsession, and a commitment to operational excellence. It is widely recognized as one of the most influential companies in the world, with products and services spanning e-commerce, AWS, Alexa, and more.
The Amazon Development Center India (ADCI), based in Hyderabad, is a hub for AI and Machine Learning development. Teams here contribute to next-generation AI capabilities, powering Alexa, search algorithms, fraud detection systems, and more.
As an ML Data Associate-II, you will work on high-priority machine learning projects, contributing to the development of generative AI and large language models (LLMs) by labeling and analyzing datasets.
You’ll be part of a diverse, innovative, and fast-paced team that values ownership, precision, and data integrity.
This is an exciting opportunity to be at the core of Amazon’s AI revolution, helping train systems used by millions around the world.
🔥 Don’t Miss
Key Responsibilities
🔥 Don’t Miss
Accurately annotate and label data (text, speech, audio, image, and video) using proprietary Amazon tools
Follow detailed instructions and guidelines to maintain quality and consistency
Ensure data confidentiality and comply with internal security protocols
Analyze patterns and errors in data and suggest workflow improvements
Work on multiple projects and switch between task types when required
Participate in peer reviews and support quality-check initiatives
Meet individual productivity goals and team-wide KPIs
Assist team members with interpretation of labeling guidelines
Identify gaps or inefficiencies in SOPs and share feedback with leads
Collaborate with cross-functional teams to support ML data operations
Required Skills
Strong command of written and spoken English with advanced reading comprehension
6 months to 1 year of experience in data management, content tagging, or labeling
Ability to understand and apply structured task guidelines independently
Strong attention to detail and ability to detect and fix inconsistencies in datasets
Capable of working on repetitive tasks while maintaining high quality
Familiarity with spreadsheets, content management systems, and digital tools
Logical thinking and basic analytical problem-solving skills
Self-driven, organized, and able to meet tight deadlines
Comfortable working in a structured, process-driven environment
Team-oriented mindset with strong communication skills
Preferred Skills
Bachelor’s degree in a technical or analytical field such as CS, IT, Data Science, or Linguistics
Familiarity with machine learning concepts, NLP, or computer vision
Experience with tools like Amazon SageMaker, Labelbox, or AWS Comprehend
Knowledge of AI data pipelines and how labeled data feeds model training
Exposure to Power BI, Tableau, or other visualization/reporting tools
Working knowledge of Python or SQL is a plus (not mandatory)
Comfortable with ambiguity and changes in work scope or instruction
Prior experience in a QA, annotation, or AI training data role
Ability to identify automation opportunities in manual processes
Exposure to agile environments and collaborative team tools (Jira, Confluence)
Perks & Benefits
Competitive compensation and performance-based incentives
Health and medical insurance for employees and eligible family members
Structured leave policies including annual leave and wellness days
Access to Amazon’s internal training, learning paths, and certifications
Global exposure by working on AI projects that serve millions of users
Inclusive culture promoting work-life balance and flexibility
Modern office environment with best-in-class infrastructure
Participation in employee communities, mentoring, and social impact programs
Discounts on Amazon products and select partner services
Career progression support through internal mobility and promotion channels
Why Join Us?
At Amazon, innovation is a way of life. As an ML Data Associate-II, you will be at the forefront of artificial intelligence and machine learning advancement.
Your work will directly contribute to the training and development of powerful AI systems, including large language models that enable human-like responses in Amazon’s smart products.
This role offers you a chance to work with a global team of AI specialists, data engineers, and machine learning scientists. You’ll gain hands-on experience with Amazon’s proprietary AI tools and processes, contributing to real-world projects that shape the future.
Amazon values diversity, ownership, and customer obsession. We support your growth with training, mentorship, and career development opportunities, and we foster a culture where your ideas are welcomed and rewarded.
If you’re detail-oriented, process-driven, and passionate about AI, this is your opportunity to make a lasting impact on the future of technology.
