Amazon Hiring ML Data Associate For Chennai Location | Full-time
ML Data Associate | 3.5-4.5 Lacs PA
The Bedrock organization at Amazon is looking for an ML Data Associate II for the AWS generative AI platform. This position makes a specialty of textual content-based total annotation, version training, and comparing poisonous content material matches. Responsibilities include statistics and the use of statistics hints, annotating textual content records, wearing out first-rate warranties, resolving statistics ambiguities, and enhancing strategies. You’ll moreover collaborate with linguists and engineers, help develop approach improvements, and assist in pre-screening interviews. A Bachelor’s degree in an applicable place and six months of annotation experience are required. Preferred qualifications encompass familiarity with textual content ProTools tools and information in unique domains.
Role: ML Data Associate
Location: Chennai
Work Type: Full-time
Location: Amazon
Experience: 1-3 Yrs
Salary: 3.5-4.5 Lacs PA
Education: Bachelor’s degree in a relevant field
About Company
The Bedrock agency at Amazon, a key player in advancing AWS’s generative AI platform, is looking for an ML Data Associate II. This feature consists of specializing in text-based absolute information annotation, vital for training tool learning models, and comparing poisonous content material material. The feature calls for a deep understanding of several records series and annotation recommendations and tools, ensuring accurate statistics labeling and brilliant guarantee.
Key Responsibilities:
Understanding Guidelines and Tools: Develop an in-depth comprehension of data collection and annotation hints and the gadget used for the one’s techniques. This includes becoming adept with several annotation tool tools to make certain facts are sufficiently labeled and categorized.
Data Annotation: Annotate textual content records by figuring out linguistic instructions based totally on high-quality tips. This undertaking consists of making sure accuracy in labeling, this is critical for the terrific of gadget gaining knowledge of fashions.
Quality Assurance: Participate in obligations related to records era, collection, and a fantastic guarantee. Collaborate with particular ML Data stakeholders to address statistics ambiguities and remedy annotation disagreements to hold excessive facts terrific.
Error Analysis: Conduct qualitative trend evaluation with the useful resource of diving deep into the data. Develop and implement movement plans to deal with and enhance information wonderful, making sure the reliability of the data used for version education.
Feedback and Improvement: Provide optimistic remarks to Language Engineers and Scientists concerning tool upgrades and annotation strategies. This consists of diving into issues independently and imposing effective solutions.
Process Improvement: Contribute to approach improvements geared closer to reducing coping with time and enhancing beneficial useful resource output. This includes growing language artifacts important for version improvement, alongside facet datasets used for training and evaluation.
Collaboration: Work carefully with ML Data linguists, Language Engineers, and Team Managers to innovate techniques, automate trackers, and streamline workflows. Assist in pre-screening interviews for Data Associates and offer precise remarks to annotators to assist non-prevent development.
Basic Qualifications:
Education: A Bachelor’s degree in a relevant trouble that embodies Linguistics, Communications, or different records-related disciplines.
Experience: At least 6 months of experience in natural language facts labeling, records annotation, or linguistic annotation. Teaching experience is also considered relevant.
Skills: Proficiency in identifying linguistic ambiguity and annotation inaccuracies in records is wanted.
Preferred Qualifications:
Technical Familiarity: Knowledge of not unusual textual content processing gadgets and ardor for language, linguistics, human language era, and AI are markable.
Domain Knowledge: Understanding domains that incorporate Finance, Health Care, and Insurance is useful.
Registration and Test Link: To check for this function, study the registration and the check link furnished right now here.
This position me me gives a unique opportunity to make contributions to modern AI development at the same time as strolling with a diverse employer of specialists in linguistics and tool studying.
Benefits at Amazon:
Health Insurance: Comprehensive medical health insurance for employees and their families.
Retirement Plan: Competitive 401(okay) plan with organization in form.
Paid Time Of: Generous tour, unwell leave, and private time.
Career Development: Opportunities for education and career development.
Employee Discounts: Discounts on Amazon services and products.
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