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Data Annotation Specialist
HireArt
HybridHybrid
Original Job Summary
About the Data Annotation Specialist Role
HireArt is partnering with a mobility technology company to find a Data Annotation Specialist to join its Data Operations team. In this role, you will contribute to annotation QA efforts, collaborating closely with the machine learning team and external vendors to ensure the creation of high-quality labeled data.
Key Responsibilities
- Collaborate with machine learning engineers and external vendors.
- Curate, QA, and deliver high-quality labeled data.
- Utilize third-party and proprietary tools to QA annotation tasks.
- Support and improve data labeling workflows and tool improvements.
- Assist the data annotation Ops lead.
Requirements
- Bachelor’s degree or equivalent experience.
- Experience with visual/spatial software (e.g., QGIS, ArcGIS) in 2D and 3D.
- Background in data annotation and data analysis, preferably within mobility or similar industries.
- Quick learner with strong attention to detail.
- Excellent communication and interpersonal skills.
Benefits
- PTO and paid holidays
- Pre-tax commuter benefits
- Subsidized healthcare benefits
- Flexible Spending Account for healthcare costs
- Employer-covered short and long-term disability and life insurance
- 401k package
Position Details
This is a full-time, 6-month contract position staffed via HireArt. The role is remote and available to U.S.-based candidates, with a preference for those local to the Bay Area, CA.
Key Skills/Competency
- Data Annotation
- Quality Assurance
- Data Analysis
- Machine Learning Collaboration
- Workflow Improvement
- Vendor Coordination
- Tool Proficiency
- Spatial Software
- Attention to Detail
- Communication
How to Get Hired at HireArt
🎯 Tips for Getting Hired
- Research HireArt's culture: Study mission, news, and employee reviews.
- Customize your resume: Highlight data annotation and QA skills.
- Emphasize technical projects: Showcase spatial software examples.
- Prepare for interviews: Practice workflow improvement scenarios.
📝 Interview Preparation Advice
Technical Preparation
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Review spatial software basics and updates.
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Practice QA techniques on sample datasets.
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Understand vendor coordination processes.
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Learn proprietary tool functionalities.
Behavioral Questions
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Describe a time you solved process challenges.
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Explain handling repetitive tasks effectively.
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Share examples of cross-team collaboration.
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Discuss managing feedback on tool improvements.