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• Collaborate with relevant Stake-Holders- Work across teams to such as Marketing, Sales, Customer Experience and Engineering to ensure everything is kept track off and the ball isn’t dropped off
• Work on the Product Roadmap & Lifecycle- Help the product team prioritize the features and tasks and give valuable feedback based on various stakeholder conversations
• Help the product and engineering teams to flesh out features and ensure there are no blockers on delivery
• Work with Product Managers by using data to understand customer behavior and performance of features; be data-driven in estimating size of impact and determining prioritization

• Performs straightforward, stand-alone tasks or transactions within detailed instructions and predefined procedures
• Responsible for entering and editing data in work tools as per specified guidelines and checklists
• Reviews feedback involving their content to help correct errors and establish or refine procedures and processes to improve accuracy
• Deliver on predefined individual and team targets including delivering outcomes with quality and excellence
• Works with other related teams to complete tasks assigned to them. Will work within parameters and with supervision to ensure quality and performance to set standards

• Employ statistical and machine learning techniques to analyze and interpret data
• Clean, transform, and preprocess datasets, identify relevant variables, and develop models to extract insights and make predictions or classifications
• Create and refine algorithms to solve specific business problems or optimize processes
• Involves selecting appropriate machine learning or statistical techniques, implementing algorithms, and fine-tuning parameters to improve model performance

• Work on various writing work types to train generative AI models.
• Some examples of work types you might work on:
• Rank a series of responses that were produced by an AI model.
• Based on a given topic, write a short story about that topic.
• Assess whether a piece of text produced by an AI model is factually accurate or not.
• Research and verify content quality based on Content Guidelines. Approve or reject contents based on pre-defined guidelines and explain logical reasoning behind approve/reject decision.

• Please walk-in for an interview for the role of Content Writer for Amazon on Saturday, July 22, 2023

   

  Interview location:

  Walkin Interview on 22nd July from 9.30 AM – 3.00 PM onwards

  Amazon Development Centre India Pvt. Ltd Taurus-1 Bagmane Constellation Business Park Ground floor, K.R. Puram Marathalli Ring Road, Mahadevpura, Bengaluru – 560037.

  Walk-in Interview Date: Saturday, July 22 2023

  Walk-in Interview Time: 10.00 AM to 3.00 PM

   

  Job Location: Chennai & Hyderabad

• Work on various writing work types to train generative AI models.
• Some examples of work types you might work on:
• Rank a series of responses that were produced by an AI model.
• Based on a given topic, write a short story about that topic.
• Assess whether a piece of text produced by an AI model is factually accurate or not.
• Research and verify content quality based on Content Guidelines. Approve or reject contents based on pre-defined guidelines and explain logical reasoning behind approve/reject decision.

• Please walk-in for an interview for the role of Content Writer for Amazon on Saturday, July 22, 2023

  
  

  Interview location:

  Amazon Development Centre India Pvt. Ltd

  Ground Floor, Building No. H03, Avance Business Hub, Phoenix Infocity Private Limited, IT/ITES SEZ, Survey No 30(P), 34(P), 35(P) & 38(P), Gachibowli Village, Serilingampally Mandal, Hyderabad, Telangana – 500081 India.

  
  

  Walk-in Interview Date: Saturday, July 22 2023

  Walk-in Interview Time: 10.00 AM to 3.00 PM

  
  

  Job Location: Chennai & Hyderabad

Wing is on the exciting mission of redefining the future of work for companies across the world! We are looking to be the one-stop shop for companies that are looking to build world-class teams & place their operations on autopilot.

And we’re looking for an aspiring General Virtual Assistant (Part-time) to start immediately!

Duties and Responsibilities include but are not limited to:

1. Store and organize documents and files.

2. Data Entry: prepare lead lists or meeting minutes, transcribe audio recordings, prepare payroll information, and organize research notes.

3. Research products, purchase goods & secure samples.

4. Store, update & collect information for marketing and sales campaigns through a CRM system.

5. Create and send statements or invoices, track payments, and record company expenses.

6. Gather data on trends, industry best practices, and other publicly available information and prepare reports on the findings (e.g., for comparative analysis).

7. Monitor projects, conduct internal communication & organize company data.

8. Coordinate team calendars, prevent scheduling conflicts & ensure clients are on time and prepared for meetings.

9. Prepare itineraries, book hotels, rental cars, etc.

10. Convey information to incoming calls & make calls for appointments or conduct informational inquiries.

11. Reply to emails, follow up on correspondence, organize inbox as per client preferences, and notify clients about important emails.

12. Ad hoc tasks

Schedule: US work hours (40+ hours per week)