30+ Openings At Amazon | 1 to 3 year
ML Data Associate at Amazon | ₹ 3.5-4.5 Lacs P.A.
Amazon’s Bedrock group seeks an ML Data Associate to help AWS generative AI model training through text-primarily based information annotation and poisonous content evaluation. Key duties embody knowledge records pointers, annotating text facts, acting mistakes evaluation, and improving procedures. The function requires a Bachelor’s degree in Linguistics or associated fields, with a minimum of 6 months of enjoyment in facts annotation. Familiarity with textual content processing tools and a passion for linguistics and AI are preferred. Amazon offers a revolutionary environment in which technology specialists can contribute to contemporary answers that enhance worldwide e-trade.
Role: ML Data Associate II
Location: Chennai
Work Type: Full-time
Company: Amazon
Experience: From 1 to 3 years of experience
Salary: ₹ 3.5-4.5 Lacs P.A.
Company Profile:
Amazon.Com is dedicated to being Earth’s maximum consumer-centric organization, wherein human beings can find out and purchase simply something online. By always improving its services with low fees, extensive preference, and notable comfort, Amazon has developed from a net web page proper into a main e-exchange platform and generation associate. The business enterprise’s innovative spirit drives its evolution and attracts a number of the brightest generation minds, who paint to expand an era that improves the lives of customers and dealers around the world.
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Job Description
The Bedrock team at Amazon is looking for a professional ML Data Associate to help with the training of diverse fashions at the AWS generative AI platform. This function involves specialized responsibilities inclusive of textual content-based total facts annotation, writing for device analyzing version education, and evaluating poisonous content material. The group focuses on factors of tool gaining knowledge of development along with Responsible AI, Reinforcement Learning from Human Feedback, Supervised Fine-Tuning, and Human Content Evaluation. Members of the Bedrock group own several kinds of linguistic understanding, together with sociolinguistics, computational linguistics, and translation.
Key Responsibilities:
Data Annotation: Gain a complete knowledge of statistics series and annotation suggestions. Annotate text information with the useful resource of identifying linguistic classes based on targeted hints and the use of numerous annotation devices.
Annotation Tasks: Perform responsibilities related to information technology, series, and great guarantee. Participate in qualitative error style analysis and increase movement plans to beautify facts.
Collaboration: Work intently with one of a kind machine gaining knowledge of data stakeholders to address statistics ambiguities and clear up annotation disagreements. Provide remarks to Language Engineers and Scientists on tool improvements and annotation techniques.
Process Improvement: Contribute to manner enhancements aimed toward reducing coping with time and growing aid output. Develop essential language artifacts that encompass datasets for schooling and evaluation.
Consultation and Support: Assist in pre-screening interviews for Data Associates and guide Machine Learning Data linguists (MLDL), Language Engineers (LEs), and Team Managers (TMs) in innovating strategies, automating trackers, and refining workflows.
Issue Resolution: Dive deep into issues and put in force unbiased solutions. Assist LEs in speaking with ML Data Associates (MLDAs) to offer centered feedback.
Basic Qualifications:
Education: Bachelor’s degree in Linguistics, Communications, or a related region.
Experience: Minimum of 6 months of revel in natural language records labeling, statistics annotation, linguistic annotation, or coaching. Experience in identifying linguistic ambiguities and annotation inaccuracies is wanted.
Skills: Proficiency in herbal language data labeling and annotation.
Preferred Qualifications:
Tool Familiarity: Experience with not unusual textual content processing tools.
Passion for Language: Enthusiasm for linguistics, human language era, and AI.
Domain Knowledge: Understanding of diverse domain names inclusive of Finance, Health Care, and Insurance.
Benefits at Amazon
Competitive Compensation: Amazon presents competitive salaries and usual performance-based bonuses that replicate your skills and contributions.
Comprehensive Health Coverage: Enjoy great fitness blessings, along with medical, dental, and imaginative and prescient coverage for you and your own family.
Career Development: Amazon gives sturdy professional improvement packages, together with training, mentoring, and possibilities for internal mobility.
Flexible Work Options: Benefit from bendy painting preparations, at the side of a long way off painting options and adaptable scheduling to stability work and personal existence.
Employee Discounts: Access special reductions on Amazon services and products, improving your purchasing enjoyment while saving money.
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