Key Responsibilities
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Collaborate with Technical Delivery Managers to meet project timelines, deliverables, and quality standards
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Engage with Expert Contributors to ensure high-quality datasets for customers
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Conduct quality reviews to maintain annotation accuracy and consistency
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Monitor pipeline health and implement proactive solutions to prevent bottlenecks
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Track project progress and performance through data analysis and reporting
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Develop documentation for labeling guidelines and operational processes
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Partner with stakeholders to resolve blockers and sustain production efficiency
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Provide regular updates to stakeholders on progress and key insights
Required Qualifications
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Proficiency with Google Workspace tools and strong data analysis skills
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Proactive, results-driven mindset with creative problem-solving abilities
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Adaptable and able to thrive in a fast-paced, dynamic environment
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Excellent written and verbal communication skills in English
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Experience working with technical and non-technical stakeholders
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Ability to work independently and collaboratively in a remote setting
Preferred / Bonus Qualifications
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Familiarity with data annotation pipelines and machine learning workflows
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Experience with SQL or other database languages
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Strong analytical and process improvement capabilities
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Degree in an analytics-focused field (e.g., Engineering, Economics, Business) or interest in Computer Science, Statistics, or Data Analytics
Salary
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Pay Range: $100,000 – $150,000 USD annually (depending on location)
Why Join Snorkel AI?
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Work at a company with market-proven solutions, robust funding, and rapid scaling
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Opportunities to shape priorities, influence strategy, and impact company success
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Support for career growth, skill development, and leadership exploration
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Inclusive and collaborative remote work environment
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Equal employment opportunity with diverse and inclusive team culture
Equal Opportunity
Snorkel AI is an Equal Employment Opportunity Employer, committed to diversity and inclusion. We provide reasonable accommodations for qualified individuals with disabilities and ensure employment decisions are based on qualifications, performance, merit, and business need.