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AI Job Summary

You perform annotation tasks to benchmark AI model responses for relevance and correctness, acting as quality point-of-contact for assigned ML data workflows. Responsibilities include structuring data collection, documenting and improving standard operating procedures, testing new tools, and tracking metrics with stakeholders. A bachelor's degree, fluency in English, and proficiency with Microsoft Office and Excel are required; SQL and Python experience is preferred. This entry-level role requires zero to one year of equivalent experience.

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Job Description

At Amazon, we're evolving how to support sellers, customers in solving their query resolved faster using AI. That is where our team steps in, we support multiple AI models in benchmarking their responses for it relevancy, correctness and completeness.
- You perform straightforward annotation related tasks across ML data process areas. You are able to determine the right task or procedure (or when a slight deviation is needed) to achieve desired outcome.
- You act as point of contact for one or more simple annotation tasks in a given ML data process area. You are responsible for the quality of execution for these tasks.
- You understand the dependencies of tasks across ML data workflows and are able to articulate customer impact. You use the existing annotation methods and modify the SOPs. You document the changes in SOP and once approved, you share the knowledge with the team, audit SOP adoption and execution.
- You test new SOP/tools and share feedback on their quality and provide inputs for improvement to support on boarding of new tools.

Key job responsibilities
- You structure data collection, analyse results and share inputs for SOP changes.
- You collate, track, and report progress on key metrics agreed to with respective stakeholders (e.g., Program managers, Applied Scientist) specific to your functional area.
- You identify operational issues related to process and tooling and recommend suggestions to improve key project metrics such as productivity and quality.

Basic qualifications

- Bachelor's degree
- Speak, write, and read fluently in English
- Experience with Microsoft Office products and applications
- Experience with Excel

Preferred qualifications

- 0 to 1 years of equivalent experience
- Performed annotation related tasks across ML data process areas.
- Technical proficiency in SQL querying and Python programming for data analysis

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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  • Role AI Benchmarking Specialist, Performance Benchmarking Evaluation
  • Experience 3-4 years
  • Education Bachelor Degree
  • Work type On-site
  • Location India
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Amazon
Consumer Apps & Media · 500+ Members · Seattle, WA, United States

Amazon operates a broad portfolio spanning online retail, third-party marketplaces, logistics, cloud computing, advertising, devices, entertainment, and subscription services. Its consumer businesses include Amazon stores and Prime, while Amazon Web Services provides cloud infrastructure, databases, analytics, and AI services. The company also develops products such as Alexa and Kindle, produces and distributes media, and runs fulfillment and delivery networks. Amazon serves consumers, sellers, developers, enterprises, creators, and public-sector customers through interconnected commerce and technology platforms.

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Job Overview
Eligibility
India Right to work in India required.
Workplace
On-site
Job Posted:
3 days ago
Job Type
Full Time
Education
Bachelor Degree
Experience
3-4 years

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