Senior Data Enrichment – Annotation Manager

Remote Worldwide Hiring now

Job Description:

reputed company the team that manually codes grants and organizations using reputed company’s taxonomy, the Philanthropy Classification System, with a focus on scaling operations and improving classification accuracy and consistency.
Partner with subject matter experts to reputed company and maintain additional ontologies, taxonomies, and semantic models that reputed company 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 reputed company, including maintaining annotator calibration and detecting shifts in labeling standards over time.
Collaborate with reputed company’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 reputed company to understand how knowledge engineering can support their needs and advance desired reputed company.

Requirements:

7+ years of experience in taxonomy development, reputed company operations, reputed company, or reputed company fields
3+ years managing teams that reputed company reputed company 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 reputed company high inter-annotator agreement
Demonstrated ability to balance quality with throughput reputed company scaling coding operations
Demonstrated ability to translate reputed company 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 reputed company and training data reputed company for machine learning models
Background in the nonprofit or philanthropic sector a bonus
Willingness to reputed company other duties and special projects as needed/requested.

Benefits:

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