Gramian Consulting
2 - 10 employees
Founded 2025
🎯 Recruiter
🤖 Artificial Intelligence
📚 Education
Recruitment • Artificial Intelligence • Education
Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.
Taxonomy & Ontology Curator
🔥 0 minutes ago
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Gramian Consulting
2 - 10 employees
Founded 2025
🎯 Recruiter
🤖 Artificial Intelligence
📚 Education
Recruitment • Artificial Intelligence • Education
Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.
📋 Description
• Onboard **new entities** into the Ads team **Knowledge Graph**, ensuring alignment with defined schemas and ontologies • Serve as the **primary point of contact** for **Product, Engineering, and Analytics** teams requesting entity additions or schema changes • **Prioritize and triage** incoming requests based on **business impact**, urgency, and **technical feasibility** • Perform **data entry and labeling** to support **automated content understanding** pipelines • **Tune and refine LLM prompts** to improve **content understanding automation** • Review and curate **LLM-generated entities**, approving high-confidence outputs, correcting near-misses, and rejecting **hallucinations** • Execute rigorous **QA and validation** to ensure **ontological consistency** and **factual accuracy** • Create **Golden Sets** via targeted labeling to assess model quality and support **classifier and extraction model fine-tuning** • Investigate and resolve **data integrity issues**, including error correction, **duplicate entity merging**, and relationship conflict resolution • Provide clear **stakeholder feedback**, status updates, and **modeling rationale**, and guide teams on effective **Knowledge Graph querying**
🎯 Requirements
• 3+ years of experience with **Knowledge Graph** • Strong Understanding of graph concepts (Nodes, Edges, Properties) • Experience with Taxonomy & Ontology - Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. • Proficiency in navigating complex datasets. • Experience with SQL, SPARQL, or Cypher is a strong plus. • Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground-truth data in training.
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