About Amazon ML Associate
BASIC QUALIFICATIONS
• Bachelor’s degree in a relevant field or equivalent
• Proficiency in English & Hindi grammar and spelling (both written and verbal)
• Excellent computer skills, including MS Office, with good typing speed (> 40 wpm and
>90% accuracy) and basic troubleshooting abilities.
Amazon ML Associate Interview Process / Online Assessment
- Versant Assessment
- HR Round
Topics To Prepare for Amazon ML Associate
English Grammer –
- Spotting Errors Link
- Sentence Formation Link Link
- Sentence Correction Link Link
- Ordering of Words Link Link
- Selecting Words Link Link
- Ordering of Sentence Link Link
Versant Test –
How to Prepare For Amazon ML Associate Versant Test
- Stay Confident
Maintain a positive mindset and believe in your abilities. Confidence in your English-speaking skills can significantly impact your performance during the test.
- Stay Calm and Composed
On test day, remain calm and composed. Remember that nerves can affect your performance, so take deep breaths and approach each section with confidence.
- Listen Carefully Before Responding
During sections that involve responding to questions or repeating sentences, listen carefully to ensure you understand the prompt. This prevents misunderstandings and allows you to respond appropriately.
The Versant Test is an opportunity to showcase your English language proficiency and communication skills. By understanding the test structure, practicing active listening, expanding your vocabulary, perfecting pronunciation, building fluency, mastering time management, simulating test conditions, recording and reviewing, seeking feedback, staying confident, and remaining calm, you can approach the test day with readiness and determination. Clearing the Versant Test opens doors to personal and professional growth, paving the way for success in an English-dominated world.
Amazon ML Associate Work
- Work with a range of text, speech and other types of data.
- Deliver high-quality labelled data, using guidelines provided to meet our KPIs, and using
- in-house tools and software.
- Report issues with tools and software as and when they occur.
- Show Ownership and initiative when providing feedback for improvements to existing
- tooling that can increase the amount and quality of the data we process – we believe every
- ground-breaking change starts with a small idea!
- Maintain strict confidentiality and follow all applicable Amazon policies for securing
- confidential information.
Day to Day Work As ML DATA Associate
- The Alexa Data Services (ADS) organization provides data creation, curation, and analytics services to help develop, test, and train Alexa AI.
- work closely with internal customers like Machine Learning Science modeling teams, providing the critical data they need to improve Alexa’s Automatic Speech Recognition and Natural Language Understanding models and domain features.
- look for individuals who are customer-obsessed and can think big as we scale our team and data services. Diving deep is an important part of our day-to-day work as we focus on data integrity and metrics.
- Worldwide Operations, Cost & Resource Management (CRM), ADS Product Management, Data and Annotation Science, and Operations Excellence.
Amazon ML Associate Salary
- Min Package – 2.5 LPA
- In Hand – 15-16k
- Max Package – 3.5 LPA
- In Hand – 23-24k
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