
201 - 500 employees
Founded 2019
🤝 Non-profit
🔌 API
☁️ SaaS
Non-profit • API • SaaS
Candid is a nonprofit organization that collects, curates, and distributes comprehensive data and insights about nonprofits and foundations. It provides searchable organization profiles, grant and funding data, research and analysis, and developer APIs and data services to help funders, nonprofits, researchers, and technical partners find funding, verify organizations, and integrate nonprofit data into workflows.
🕒 March 28
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201 - 500 employees
Founded 2019
🤝 Non-profit
🔌 API
☁️ SaaS
Non-profit • API • SaaS
Candid is a nonprofit organization that collects, curates, and distributes comprehensive data and insights about nonprofits and foundations. It provides searchable organization profiles, grant and funding data, research and analysis, and developer APIs and data services to help funders, nonprofits, researchers, and technical partners find funding, verify organizations, and integrate nonprofit data into workflows.
• Lead the team that manually codes grants and organizations using Candid’s taxonomy, the Philanthropy Classification System, with a focus on scaling operations and improving classification accuracy and consistency. • Partner with subject matter experts to develop and maintain additional ontologies, taxonomies, and semantic models that enable knowledge representation and reasoning across applications, including AI applications. • Design and implement quality control processes and metrics to ensure coding quality and strong inter-rater reliability, including guidance for handling ambiguous edge cases. • Monitor and address data quality drift, including maintaining annotator calibration and detecting shifts in labeling standards over time. • Collaborate with Candid’s data science team to evaluate AI models (including LLMs) used for autocoding tasks. • Coordinate efforts to generate the training data needed to build effective AI/ML solutions. • Build strong relationships with key teams across Candid to understand how knowledge engineering can support their needs and advance desired outcomes.
• 7+ years of experience in taxonomy development, data annotation operations, knowledge management, or related fields • 3+ years managing teams that perform manual data coding, classification or annotation work • Proven experience designing and implementing taxonomies, ontologies, or classification systems used across multiple applications • Experience designing annotation guidelines or codebooks that achieve high inter-annotator agreement • Demonstrated ability to balance quality with throughput when scaling coding operations • Demonstrated ability to translate complex domain knowledge into structured frameworks • Experience working cross-functionally with technical teams, product managers, and subject matter experts • Excellent communication skills across technical and non-technical audiences • Experience with AI/ML applications and their use in classification or coding tasks • Familiarity with semantic web technologies, knowledge graphs, or linked data • Experience with data annotation and training data generation for machine learning models • Background in the nonprofit or philanthropic sector a bonus • Willingness to perform other duties and special projects as needed/requested.
• Health insurance (medical, dental, vision) • Retirement contribution with additional option for a match • Paid life insurance and AD&D • Paid leave time (PTO, compassionate leave, volunteer, holiday, parental) • Short-term and long-term disability • Pre-tax transit • Flexible spending accounts • Supplemental insurance • Summer hours • Public Service Loan Forgiveness (PSLF) program eligible employer
Apply Now🕒 March 28
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