Data Labeling Analyst II

Remote, CA 94016

Posted: 09/12/2023 Job Number: 38010

Job Description


Pay range is $13 - $18 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

THE PROMISES WE MAKE: 

At Crystal Equation, we empower people and advance technology initiatives by building trust.  Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start.  We will serve to empower you along the way and provide the path for your professional journey.

 

Data Labeling Analyst II


Summary:

Our company is seeking a Language Model Red Teamer to join our Generative AI Language Research team. Generative AI is a research to production organization focused on making significant progress in AI and being a bridge between AI research and our products. Individuals in this role are expected to be experienced in data annotation.

The successful candidate will be responsible for interacting with our language model expressly to identify potential weaknesses and vulnerabilities to improve accuracy while increasing trust and safety of the model.

Responsibilities:
  • Execute plans to test the safety of our language model.
  • Collaborate with the development team to design and execute probing dialogs, and provide feedback on the quality of the model and the probing methods
  • Stay up-to-date on the latest techniques and tools to ensure the model remains secure.
  • Generative AI Language Research team
  • Future contractors could be needed in the next 12-months depending on whether or not we scale the effort to other research areas
  • We require our human labelers to be able to see our internal taxonomy of risks as well as our sensitive, unrealized model output and user data. Given the rapid cycles of model refinement, it is preferable for a trained workforce of CW’s can complete red team tasks on an ongoing basis after an initial training

Meet Your Recruiter

Mischa Mohamed

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