Data Quality Analyst I

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 labeling interface or labeling processes in order to drive efficiency and high-quality.
Complete assignments by deadlines while meeting team expectations and goals.

Required Skills/Experience:

Bachelor’s degree in English, Literature, Creative Writing, Journalism, or a related field (or equivalent work experience)
Proficiency in reading comprehension and possessive of strong writing skills, with the ability to understand and interpret complex and diverse texts.
Ability to work independently, follow instructions, manage time effectively, and meet deadlines in a dynamic and fast-paced environment.
Ability to manage ambiguity, uncertainty, and changing priorities with limited resources.
Ability to accept and integrate continuous feedback while remaining professional.
Excellent verbal and written communication skills and the ability to collaborate within a multi-disciplinary team.
Quick learner and self-starter with strong problem-solving skills.