Content analyst (contract) at Writer
New York, New York, USA -
Full Time


Start Date

Immediate

Expiry Date

01 Jun, 25

Salary

0.0

Posted On

01 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT WRITER

Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, Writer empowers hundreds of customers like Accenture, Intuit, L’Oreal, Mars, Salesforce, and Vanguard to transform the way they work.
Writer’s fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that solve mission-critical business challenges. Our suite of development tools is powered by Palmyra – Writer’s state-of-the-art family of LLMs — alongside our industry-leading graph-based RAG and customizable AI guardrails.
Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work.
About this role
Every company grows differently, and we grow when we help our users write better, faster.
As a Content Analyst, you’ll work closely with our AI/NLP, product, and solutions engineering teams to help us maintain a high level of quality in the content generated by features and models.
We’ll rely on your editorial mindset and customer-centric thinking to make sure we’re delivering content at an enterprise-level of quality.
You’ll be reporting to our Director of Customer Language Engineering.

Responsibilities
  • Put on your editorial and copywriting hats – deeply understand our customer’s needs and priorities, and apply that customer-centric thinking when reviewing model outputs
  • Provide a thorough analysis of model and feature outputs to help us improve quality
  • Find creative ways to push our models and features to their limits; identify edge cases and corner cases that should be addressed before release to production
  • Clearly communicate your findings to various stakeholders, including AI/NLP, product, and solutions engineering
  • As needed, produce reports and statistical analysis to summarize your findings in a digestible format
  • Be on the lookout for ways we can iterate on our models and workflows to deliver the highest quality content to our customers
  • Help us build up and scale our content QA processes and capabilities
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