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Staff Data Annotation/Quality Control Analyst
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Job Description
- Req#: 8129323002
Employer Industry: Real-time Intelligence and Satellite Imagery
Why consider this job opportunity:
- Salary up to $135,000 per year
- Comprehensive benefits package including medical, dental, and vision coverage with 100% premium payment for employee-only plans
- Generous paid time off including 15 days of PTO, 11 company holidays, and additional volunteer leave
- Opportunities for professional development and growth within a cutting-edge technological environment
- Supportive work culture with flexible work arrangements, including remote options in certain states
- Access to innovative tools and resources, including a choice between Mac or PC
What to Expect (Job Responsibilities):
- Own and architect vision, strategy, and technical roadmap for the employer's data labeling pipeline
- Lead and manage data labeling teams, providing oversight for labeling campaigns
- Collaborate with machine learning and product teams to define metrics and assess the quality of machine learning models
- Create processes, tools, and scripts to manage and track data quality and labeling performance
- Mentor and guide other engineers on the team, fostering a culture of technical excellence and innovation
What is Required (Qualifications):
- Minimum of eight (8) years of hands-on experience as a data quality engineer, imagery analyst, GIS analyst, or quality assurance engineer in relevant fields
- Bachelor's Degree or higher in computer science, GIS, data science, mathematics, physics, statistics, or a related scientific field, or equivalent experience
- Experience interpreting satellite imagery to identify objects, behaviors, or activities
- Hands-on experience with annotation platforms and managing remote annotation workforces
- Strong collaboration skills and ability to communicate effectively with diverse teams
How to Stand Out (Preferred Qualifications):
- Over ten (10) years of relevant professional experience
- Experience with AI advancements in image annotation
- Proficiency with Python for automation and data manipulation tasks
- Knowledge and experience working in an AWS Cloud environment
- Demonstrated ability to lead and manage small teams
#RealTimeIntelligence #SatelliteImagery #MachineLearning #DataQuality #CareerOpportunity
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