

EffortlessAPI
Knowledge Management Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Knowledge Management Specialist focused on ontology and business logic modeling. It is a remote, client-facing position with a contract length of more than 6 months. Key skills include business analysis, ontologies, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
1136
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🗓️ - Date
December 7, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
Madison, WI
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🧠 - Skills detailed
#BI (Business Intelligence) #Docker #Documentation #SQL (Structured Query Language) #Agile #Business Analysis #Licensing #"ETL (Extract #Transform #Load)" #GIT
Role description
Ontology & Business Logic Modeler (Remote)
EffortlessAPI builds the world’s first platform that turns business logic itself into a fully functional, production-grade system.
We take raw rules, messy legacy processes, spreadsheets, and inconsistent definitions, and transform them into clear, computable ontologies. Our engine then generates a deterministic, semantically complete Postgres implementation — a digital mirror of the client’s business model — that becomes the single source of truth for analytics, integrations, documentation, testing, and operational workflows.
We help organizations move from ambiguity to clarity, from scattered definitions to coherent rulebooks, and from fragile legacy systems to clean, future-proof models.
Role Description
We are looking for a highly analytical, business-savvy Ontology & Business Logic Modeler to join our team.
This is a remote, client-facing role focused on serially transforming real-world business rules into clean, structured ontologies.
In this role, you will:
• Spend ~50% of your time designing and capturing a client’s domain model inside a structured grid environment (Airtable/Baserow/Notion/Excel).
• Use our internal tools to generate the projection Postgres implementation — the “digital twin” that we deliver as the core product.
• If the client moves forward with licensing, spend an additional few days refining the model: validating formulas, testing dependencies, writing human-readable documentation, ensuring semantic completeness, and preparing final handoff materials.
• Repeat this cycle across multiple clients and industries, each with unique operational rules, legacy systems, workflows, and conceptual challenges.
This is not a development role and not a BI/dashboard role. It is knowledge engineering: the craft of turning human, messy, ambiguous business logic into a clean, computable structure.
The ideal candidate is equal parts business analyst, ontologist, semantic modeler, and communicator.
Responsibilities
• Work directly with customers to understand their business rules, definitions, KPIs, workflows, and legacy system quirks.
• Translate ambiguous or undocumented business logic into a coherent ontology with clear tables, fields, relationships, and formulas.
• Build domain models inside Airtable (preferred) or similar tools.
• Validate and refine generated Postgres implementations to ensure correctness and completeness.
• Document the ontology in clear, non-technical language for business stakeholders.
• Participate in iterative modeling sessions (“1-day build → deliver → refine → finalize”).
• Maintain consistency across engagements and continuously improve internal modeling patterns.
• Serve as the bridge between business stakeholders and the underlying semantic engine — ensuring definitions and rules are interpreted accurately.
Qualifications
• Excellent customer-facing communication skills; able to extract business requirements from non-technical users.
• Deep understanding of ontologies, taxonomies, semantics, or knowledge management principles.
• Strong ability to take business logic (from spreadsheets, specs, screenshots, legacy systems, emails, etc.) and express it cleanly in structured tooling (Airtable/Baserow/Notion/Excel).
• Comfort with lightweight “vibe coding” — reading generated SQL, understanding simple logic flows, and reasoning about data dependencies.
• Experience working across ambiguous domains where rules are incomplete, inconsistent, or implied.
• Strong analytical thinking and pattern recognition; ability to identify hidden structure in messy business processes.
Tools You’ll Use
• Airtable – our gold standard for designing rulebooks and mock data.
• Git, VS Code, Docker – basic tooling for reviewing generated artifacts or running local environments.
• Baserow / Excel / Notion – occasional alternative modeling canvases when required by the client.
Why This Role Is Unique
• You will work across many industries — each engagement is a new ontology and a new conceptual challenge.
• You are not coding features; you are designing how the business itself is represented at a foundational level.
• Your work directly produces the core product the client buys.
• You will become an expert in applied semantics, computational rulebooks, and model-driven system design — skills that are extremely rare in industry.
• Every project is short-cycle, high-impact, and intellectually rewarding.
Conclusion
If you enjoy understanding how businesses work at a deep level, distilling complex rules into clean structure, and collaborating with both business and technical teams, this is a rare opportunity.
You’ll be helping shape a new class of software — one where the business model is the system — and playing a central role in delivering it to customers.
Ontology & Business Logic Modeler (Remote)
EffortlessAPI builds the world’s first platform that turns business logic itself into a fully functional, production-grade system.
We take raw rules, messy legacy processes, spreadsheets, and inconsistent definitions, and transform them into clear, computable ontologies. Our engine then generates a deterministic, semantically complete Postgres implementation — a digital mirror of the client’s business model — that becomes the single source of truth for analytics, integrations, documentation, testing, and operational workflows.
We help organizations move from ambiguity to clarity, from scattered definitions to coherent rulebooks, and from fragile legacy systems to clean, future-proof models.
Role Description
We are looking for a highly analytical, business-savvy Ontology & Business Logic Modeler to join our team.
This is a remote, client-facing role focused on serially transforming real-world business rules into clean, structured ontologies.
In this role, you will:
• Spend ~50% of your time designing and capturing a client’s domain model inside a structured grid environment (Airtable/Baserow/Notion/Excel).
• Use our internal tools to generate the projection Postgres implementation — the “digital twin” that we deliver as the core product.
• If the client moves forward with licensing, spend an additional few days refining the model: validating formulas, testing dependencies, writing human-readable documentation, ensuring semantic completeness, and preparing final handoff materials.
• Repeat this cycle across multiple clients and industries, each with unique operational rules, legacy systems, workflows, and conceptual challenges.
This is not a development role and not a BI/dashboard role. It is knowledge engineering: the craft of turning human, messy, ambiguous business logic into a clean, computable structure.
The ideal candidate is equal parts business analyst, ontologist, semantic modeler, and communicator.
Responsibilities
• Work directly with customers to understand their business rules, definitions, KPIs, workflows, and legacy system quirks.
• Translate ambiguous or undocumented business logic into a coherent ontology with clear tables, fields, relationships, and formulas.
• Build domain models inside Airtable (preferred) or similar tools.
• Validate and refine generated Postgres implementations to ensure correctness and completeness.
• Document the ontology in clear, non-technical language for business stakeholders.
• Participate in iterative modeling sessions (“1-day build → deliver → refine → finalize”).
• Maintain consistency across engagements and continuously improve internal modeling patterns.
• Serve as the bridge between business stakeholders and the underlying semantic engine — ensuring definitions and rules are interpreted accurately.
Qualifications
• Excellent customer-facing communication skills; able to extract business requirements from non-technical users.
• Deep understanding of ontologies, taxonomies, semantics, or knowledge management principles.
• Strong ability to take business logic (from spreadsheets, specs, screenshots, legacy systems, emails, etc.) and express it cleanly in structured tooling (Airtable/Baserow/Notion/Excel).
• Comfort with lightweight “vibe coding” — reading generated SQL, understanding simple logic flows, and reasoning about data dependencies.
• Experience working across ambiguous domains where rules are incomplete, inconsistent, or implied.
• Strong analytical thinking and pattern recognition; ability to identify hidden structure in messy business processes.
Tools You’ll Use
• Airtable – our gold standard for designing rulebooks and mock data.
• Git, VS Code, Docker – basic tooling for reviewing generated artifacts or running local environments.
• Baserow / Excel / Notion – occasional alternative modeling canvases when required by the client.
Why This Role Is Unique
• You will work across many industries — each engagement is a new ontology and a new conceptual challenge.
• You are not coding features; you are designing how the business itself is represented at a foundational level.
• Your work directly produces the core product the client buys.
• You will become an expert in applied semantics, computational rulebooks, and model-driven system design — skills that are extremely rare in industry.
• Every project is short-cycle, high-impact, and intellectually rewarding.
Conclusion
If you enjoy understanding how businesses work at a deep level, distilling complex rules into clean structure, and collaborating with both business and technical teams, this is a rare opportunity.
You’ll be helping shape a new class of software — one where the business model is the system — and playing a central role in delivering it to customers.




