Candid

Senior Data Enrichment, Annotation Manager

Candid

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $85,000 - $125,000 per year

Job Level

Senior

About the role

  • 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.

Requirements

  • 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
  • Sensitivity and respect for racial, gender, sexual orientation, and cultural differences.
Benefits
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
taxonomy developmentdata annotation operationsknowledge managementmanual data codingclassification systemsannotation guidelinesinter-annotator agreementAI applicationsmachine learning modelssemantic web technologies
Soft Skills
communication skillsteam managementcross-functional collaborationquality assuranceproblem-solvingrelationship buildingcultural sensitivityorganizational skillsscaling operationstranslating complex knowledge