This person will be combining the two worlds of data and English writing. This role does not touch coding, SQL or dashboards but instead is living within the reading comprehension space. Their day to day includes accurately labelling machine learning textual data to refine AI models. This will primarily involve annotating large volumes of textual data according to predefined guidelines. This person must be able to read, write and summarize at a high volume and high accuracy. The Pre-screening tests typing speed (30-60wpm), reading comprehension and pattern recognition. Finding those who are sharp and can navigate ambiguous technical jargon would be a great fit for the role! Experience with data labelling and data annotation are a huge plus! Those interacting independently with a chat bot, rating responses, do not have the reading comprehension skills required for the role.
Day to Day Responsibilities
Accurately label machine learning data through various methods to refine AI models. This will primarily involve annotating large volumes of textual data according to predefined guidelines.
Collaborate with team members to identify improvements to the labelling interface or labelling processes in order to drive efficiency and high-quality.
Complete assignments by deadlines while meeting team expectations and goals.
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Bachelors degree in English, Literature, Creative Writing, Journalism, or a related field (or equivalent work experience)
Data annotation with textual data
Experience w RLHF
Experience in voice acting Example portfolios or work
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.