Data Labeling Analyst

2 weeks ago

Menlo Park, United States Rose International Full time

Date Posted: 06/12/2024

Hiring Organization: Rose International

Position Number: 465711

Job Title: Data Labeling Analyst

Job Location: Menlo Park, CA, USA, 94025

Work Model: Onsite

Employment Type: Temporary

Estimated Duration (In months): 13

Min Hourly Rate ($): 18.50

Max Hourly Rate ($): 23.68

Must Have Skills/Attributes: Google, Training, Written Communication


Job Description


**Only those lawfully authorized to work in the designated country associated with the position will be considered. **


**Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements. **


Qualified candidates must be located in one of the following locations due to position being ONSITE:


Los Angeles CA, Seattle WA, Redmond WA, Austin TX, New York NY, San Francisco CA and Menlo Park CA


*English Speaking*


Client is seeking a Language Model Red Teamer to join our Generative AI Language Research team. Generative AI is research to production organization focused on making significant progress in AI and being a bridge between AI research and Meta Platforms 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


Top 3 must-have HARD skills:

•Very solid written and verbal *English* communication skills

•Excellent writing, communication and collaboration skills, with the ability to work effectively with cross-functional teams

•Experience with data annotation tools and techniques

•2-3 Years of experience, if less experience please make sure they are able to work autonomously with just little direction

•MUST have fluency in English


Good to have skills:

•Linguistic training

•Experience with large language models, such as ChatGPT or Google Bard

•Ability to work independently with light touch guidance and oversight

•Familiarity with red teaming

•Bachelor's degree preferred


How will performance be measured:

•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.


Benefits:

For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.


California Pay Equity:

For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

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