HireArt

Data Annotation Specialist

Posted: 1 days ago

Job Description

Expected compensation: 30.00 - 40.00 USD Per HourHireArt is helping a mobility technology company find a Data Annotation Specialist to join its Data Operations team who will be contributing to its annotation QA efforts.We are looking for both mid-level and senior-level candidates. Pay will be based on experience.In this role, you will be collaborating closely with the machine learning team and other stakeholders to create quality metrics, drive high-quality labeling work, and improve operational processes pertaining to labeling data.As a Data Annotation Specialist, You WillWork closely with external vendors and machine learning engineers to curate, QA, and deliver high-quality labeled data. Use third-party and proprietary tools to QA annotated tasks. Support, develop, and improve data labeling workflows. Provide feedback on tool improvements for more efficient throughput. Support the data annotation Ops lead. RequirementsBachelor’s degree or equivalent experienceComfortable using visual/spatial software in 2D and 3D on repetitive tasks (QGIS, ArcGIS, or similar)Experienced with data annotation and data analysis with regard to driving or other relevant experienceAbility to learn quickly and implement new conceptsStrong attention to detailExcellent communication and interpersonal skillsBenefitsPTO and paid holidays!Pre-tax commuter benefitsEmployer (HireArt) Subsidized healthcare benefitsFlexible Spending Account for healthcare-related costsHireArt covers all costs for short- and long-term disability and life insurance401k packageCommitment: This is a full-time, 6-month contract position staffed via HireArt. This position will be remote and available to U.S.-based candidates. Preference will be given to candidates local to the Bay Area, CA.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.

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