Backend Engineer (Remote)
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About the Role
Role: Backend Engineer (JSON Schema Developer) Location: Remote (Work from Anywhere) * Payout: $40–$42 per hour Role Overview: We are hiring for one of our clients, seeking a Backend Engineer (JSON Schema Developer) to work on a contract basis.
Key Skills for This Role
Full Job Posting
Overview
- **Role**
: Backend Engineer (JSON Schema Developer)
- **Location**
- : Remote (Work from Anywhere)
- **Payout**
- : $40–$42 per hour
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-generation AI systems learn, reason, and perform across domains such as finance, healthcare, and engineering.
The role leverages your expertise in data modeling and schema design to create robust APIs and validation frameworks that power reliable AI training and agent development.
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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