Cloud Architect (Remote)
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Key skills for this role
About the Role
We are seeking a Cloud Architect to design and validate JSON schemas for AI training data extraction from complex PDFs. You will build robust APIs and validation frameworks, working remotely on a contract basis.
Key Skills for This Role
Responsibilities
- Review and analyze 25–150 page PDF documents to identify and model key data points relevant to domain specific use cases.
- Design comprehensive JSON extraction schemas from scratch, determining optimal field extraction logic, data types, and structural organization.
- Embed field level validation logic directly into JSON schemas, such as sum requirements, null value testing, and conditional pattern matching.
- Define and maintain API contracts that ensure consistency between schema definitions and downstream system integrations.
- Collaborate with cross functional teams to align schema design with data architecture goals and model evaluation objectives.
Requirements
- Proficiency in JSON Schema specification and its application in data modeling and validation workflows.
- Experience designing schemas for real world document processing, including handling complex nesting and repetition structures.
- Strong understanding of data typing, validation rules, and error handling within schema definitions.
- Familiarity with API contract design and integration patterns, including OpenAPI/Swagger and schema first development.
- Ability to analyze unstructured documents (e.g., PDFs) and extract structured representations suitable for AI training pipelines.
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Backend Engineer (JSON Schema Developer) to work on a contract basis. In this role, you will design, build, and validate JSON schemas to ensure high quality data extraction from complex PDF documents. Your work will directly influence how next generati
Key Responsibilities
- Review and analyze 25–150 page PDF documents to identify and model key data points relevant to domain specific use cases.
- Design comprehensive JSON extraction schemas from scratch, determining optimal field extraction logic, data types, and structural organization—including deep nesting and repetition patterns.
- Embed field level validation logic directly into JSON schemas, such as sum requirements, null value testing, and conditional pattern matching.
- Define and maintain API contracts that ensure consistency between schema definitions and downstream system integrations.
- Collaborate with cross functional teams to align schema design with data architecture goals and model evaluation objectives.
Required Skills & Qualifications
- Proficiency in JSON Schema specification and its application in data modeling and validation workflows.
- Experience designing schemas for real world document processing, including handling complex nesting and repetition structures.
- Strong understanding of data typing, validation rules, and error handling within schema definitions.
- Familiarity with API contract design and integration patterns, including OpenAPI/Swagger and schema first development.
- Ability to analyze unstructured documents (e.g., PDFs) and extract structured representations suitable for AI training pipelines.
- No prior AI experience is required—your domain expertise and technical skill in schema development are the focus.
More About the Opportunity
- This opportunity offers direct impact on the development of frontier AI systems by ensuring high quality, reliable data inputs.
- You will contribute to a scalable platform used by labs and enterprises to train models and build AI agents.
- The role provides global exposure to AI driven workflows and the chance to work with top tier talent in a fast growing network of domain experts.
Equal Opportunity Employer
- We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
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