Amazon Alexa – ML Data Associate Hiring 2025

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Amazon Alexa – ML Data Associate Hiring 2025

Amazon Alexa – ML Data Associate Hiring 2025

Location: India (Exact Work Location to be Communicated After Selection)
Role: Machine Learning (ML) Data Associate – Alexa Communication Team
Industry: Technology | Artificial Intelligence | Machine Learning
Employment Type: Full-Time
Work Mode: Likely Hybrid or Onsite (Based on Business Needs)


About the Role

Amazon’s Alexa division is looking for motivated, detail-oriented, and analytical thinkers to join their team as ML Data Associates. This role is perfect for individuals who are curious about AI-driven voice technologies, passionate about data interpretation, and excited to make a meaningful impact on one of the world’s most advanced virtual assistants.

As an ML Data Associate, you’ll work with the Alexa ML team to evaluate, annotate, and optimize user voice interactions, contributing directly to Alexa’s accuracy and performance. Your efforts will help shape how Alexa communicates and understands users globally.


Key Responsibilities

Responsibility AreaDetails
Data AnalysisAnalyze user utterance data from Alexa’s software builds to detect behavioral patterns, bugs, or inconsistencies affecting the ML model.
Test Case ExecutionFollow defined instructions to execute test cases for speech samples and annotate them correctly.
Error ReportingLog and document any errors, flaws, or quality defects identified during the analysis phase with clarity and precision.
Cross-functional CollaborationCoordinate with various stakeholders to understand project goals and deliver results within set deadlines (SLA).
Tool UsageUtilize Amazon’s internal software tools daily for consistent and high-quality data annotation.
Pattern RecognitionDerive meaningful conclusions from fragmented or complex datasets while maintaining analytical integrity.
Repetitive AnalysisContinuously engage in repetitive tasks with consistency and without loss of focus or accuracy.

Essential Qualifications

Applicants must meet the following basic requirements:

  • Graduation in any of the following or equivalent disciplines:
    BBA, BCA, B.Stat, B.E, B.Tech, B.Sc (Specialization in CS, IT, Statistics, or other quantitative subjects).
  • Strong command of Microsoft Office tools (Word, Excel) and browsers (IE, Chrome, Firefox).
  • Logical reasoning ability and a keen analytical mindset.
  • Willingness to perform repetitive yet high-accuracy tasks.
  • Proactive attitude with strong ownership of work responsibilities.
  • Ability to meet tight deadlines while maintaining quality.

Official Notification & Application Amazon Alexa 2025 

Amazon Alexa Recruitment 2025   Official Website Link CLICKHERE
Amazon Alexa Recruitment 2025 Apply Direct Link CLICKHERE

Preferred Qualifications

Though not mandatory, having the following will give you an edge:

  • Advanced degrees or certifications:
    MCA, M.Tech, M.Sc, or Engineering backgrounds in IT, ECE, EEE, AI/ML.
  • Experience in roles involving:
    • Data annotation and labeling
    • Data quality auditing
    • Business analysis or technical support
  • Familiarity with concepts like:
    • Natural Language Processing (NLP)
    • Voice recognition technologies
    • Machine Learning workflows
  • Experience with handling large datasets and software testing tools.
  • Adaptability to evolving tools, techniques, and fast-paced projects.

Why Join Amazon Alexa?

Amazon offers a vibrant, inclusive, and innovative workplace that promotes personal and professional growth. As an ML Data Associate, you’ll gain first-hand exposure to AI, ML, and NLP – technologies that are transforming the world. This role is an excellent gateway into the tech and data industry, especially for those aiming to specialize in voice-based AI platforms.


Ideal Candidate Traits

TraitDescription
Detail-OrientedAttention to minute details and accuracy is critical for success in this role.
Tech-SavvyProficient in using tools and understanding how data flows within Alexa’s backend systems.
Analytical ThinkerAbility to identify root causes, trends, and logical connections within data.
Flexible & AdaptableComfortable navigating constant process updates and evolving expectations.
Collaborative Team PlayerOpen to learning, contributing to team goals, and sharing knowledge.

Equal Opportunity & Accessibility

Amazon celebrates diversity and is dedicated to ensuring an accessible work environment. If you have a disability and require accommodations during the recruitment or onboarding process, support is available.

If your region isn’t listed, please connect with your local recruiter for assistance.


Perks of the Job

  • Opportunity to work at a leading global tech company
  • Learn directly from top AI/ML engineers and data scientists
  • Hands-on experience with advanced data tools and AI technologies
  • Fast-tracked career growth within the AI and data field
  • Dynamic, collaborative work culture focused on continuous learning
  • Internal job mobility to transition into advanced technical roles

How to Apply

If you’re excited to contribute to Alexa’s voice intelligence and meet the requirements above, head over to the Amazon Careers portal and submit your application.

Pro Tip: Highlight any relevant experience in data analysis, annotation, ML projects, or QA work in your resume to increase your chances of selection.


Summary

Amazon is hiring ML Data Associates for its Alexa Communication Team in India. The role involves analyzing speech data, identifying errors, and improving machine learning outcomes. Candidates with strong analytical skills and a background in BBA, BCA, B.Tech, or related fields are encouraged to apply. Prior experience in data annotation or ML is a bonus. This is a golden opportunity for those looking to step into the world of artificial intelligence and voice technology with one of the top tech giants globally.

Official Notification & Application Amazon Alexa 2025 

Amazon Alexa Recruitment 2025   Official Website Link CLICKHERE
Amazon Alexa Recruitment 2025 Apply Direct Link CLICKHERE

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