Data Quality Specialist | $16.00 - $19.00 per hour

Jobs

Washington DC

Description

If you're interested in applying for the role, you can check it out here: HireArt is helping an innovative AI data platform company find a Data Quality Specialist to work in the Artificial Intelligence and Machine Learning industry. In this role, you'll be focused on annotating tasks and delivering high quality results by following a variety of instructions. The ideal candidate is a self-starter, detail-oriented and adaptable. This role will be perfect for individuals who value challenging work. As a Data Quality Specialist, you will: Label machine learning data from customers.Complete tasks in a timely manner, meeting SLA deadlines.Perform post-process audits and write error reports on data and tasks.Work in-sync with supply managers to meet weekly goals.Identify and resolve the root cause of low quality and provide feedback to respective teams on product improvements.Work cross-functionally with Supply Ops and Engineering to drive improvements in quality. If you're interested in applying for the role, you can check it out here: Requirements Must be a US Citizen, and must be able to pass background checkMust be willing and have ability to obtain and maintain a Secret Security ClearanceDetail oriented and can follow complex instructionsAbility to work full-time hours (8-hour workdays)Ability to work independently, cooperatively, and collaboratively as a team memberPossession of excellent oral and written skillsStrong sense of ownership, urgency, and driveAbility to handle ambiguity and changing priorities Commitment:This is a full-time contract position staffed via HireArt. It will be fully remote is available to all U.S. based candidates. HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp. If you're interested in applying for the role, you can check it out here:

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