Full-Stack Developer (Remote)
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Key skills for this role
About the Role
We are seeking a Full-Stack Engineer (JSON Schema Developer) to design and implement robust JSON schemas and validation logic for AI training data. The role involves analyzing PDF documents, creating nested schemas, and collaborating with API gateway teams to ensure data integrity.
Key Skills for This Role
Responsibilities
- Review and analyze complex PDF documents (ranging from 25 to 150 pages) to identify relevant data fields for extraction and modeling
- Design and implement deeply nested JSON schemas from scratch, adhering to data modeling best practices for accuracy and scalability
- Define field types, naming conventions, and hierarchical structures to accurately represent nested and repeated information
- Embed granular validation logic, including sum checks and null testing, to ensure data integrity and consistency across datasets
- Collaborate with API gateway teams to design schema driven validation workflows that support reliable data processing
Requirements
- Proficiency in JSON schema design and validation with hands on experience developing schemas for complex data structures
- Strong understanding of API gateway integration and data validation techniques to support real time processing
- Experience with JWT (JSON Web Token) for secure data exchange and authentication in API driven environments
- Familiarity with data extraction from PDF documents and structured data modeling
- Ability to work independently in a remote environment with clear documentation and communication
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Full Stack Engineer (JSON Schema Developer) to work on a contract basis.
- This role focuses on designing and implementing robust JSON schemas and validation logic to improve the accuracy and reliability of AI training data.
- The work directly shapes how next generation AI models learn, reason, and perform across domains such as finance, healthcare, and engineering.
Key Responsibilities
- Review and analyze complex PDF documents (ranging from 25 to 150 pages) to identify relevant data fields for extraction and modeling.
- Design and implement deeply nested JSON schemas from scratch, adhering to data modeling best practices for accuracy and scalability.
- Define field types, naming conventions, and hierarchical structures to accurately represent nested and repeated information.
- Embed granular validation logic, including sum checks and null testing, to ensure data integrity and consistency across datasets.
- Collaborate with API gateway teams to design schema driven validation workflows that support reliable data processing.
Required Skills & Qualifications
- Proficiency in JSON schema design and validation with hands on experience developing schemas for complex data structures.
- Strong understanding of API gateway integration and data validation techniques to support real time processing.
- Experience with JWT (JSON Web Token) for secure data exchange and authentication in API driven environments.
- Familiarity with data extraction from PDF documents and structured data modeling.
- Ability to work independently in a remote environment with clear documentation and communication.
More About the Opportunity
- This role offers a unique opportunity to contribute to the development of frontier AI models by building the foundational data structures that power them.
- You will work alongside domain experts and engineers in a global, collaborative setting, with the ability to see your work directly influence AI performance across critical industries.
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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