Information Extraction Engineer

OpenKrill; United States; On-site; USD 130,000 - 160,000; Full time

Job summary

DEFCON AI is seeking a remote data extraction specialist to pull structured facts from long, free-text documents within a secure government cloud environment. You will ensure every fact has a precise source citation and maintain traceability for reviewer verification.

You will work with an analytics and AI engineering team, supporting high-volume extraction, validation, and defensible output across diverse document types, while flagging ambiguous or unsupported passages for review.

Qualifications

• 3+ years extracting structured facts from unstructured narrative text in production settings.
• Experience keeping extracted output traceable to its source.
• Strong Python, with hands-on NLP or information-extraction tooling, rule-based or statistical or LLM-based.

Responsibilities

• Extract structured facts from long, free-text narratives and ensure citations back to source passages.
• Maintain a traceable pointer from every extracted fact to the exact source passage.
• Validate that each cited passage supports the extracted fact and flag unsupported citations as defects.
• Distinguish a stated total from a derived sum in financial narratives and retain contributing items and calculations.
• Use and extend the team's extraction approach across new document types with consistency.
• Handle ambiguous, contradictory, or incomplete source text without forcing a single reading; flag issues.
• Collaborate with entity resolution and retrieval teammates to ensure downstream compatibility.

Skills

Python

NLP

Data extraction

Traceability

Attention to detail

Tools

LLM-based extraction

Rule-based NLP

Entity resolution systems

Job description

ABOUT DEFCON AI

RESILIENCE IN THE FACE OF DISRUPTION. DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems.In today’s dynamically changing world, DEFCON AI’s technology aligns outcomes with operational goals, better decision making, and empowers customers to anticipate assess, and mitigate the impacts of disruptions.

About the Role

You’ll pull structured facts out of long, free-text documents, and keep every one of them tied to the exact passage it came from. On this platform, nothing gets asserted without a citation a human reviewer can check, and that traceability is yours to build and protect.

You’ll join the analytics and AI engineering team behind a system that ingests records from dozens of disparate sources, resolves them to the right entity, and shows a human reviewer the exact source text behind every answer. Operating within a secure government cloud environment, the platform depends on extraction a reviewer can trust precisely because it can be checked against the original document.

You’ll join an established extraction practice rather than building one from scratch. The approach is set and reviewed by a senior practitioner on the team. Your contribution is sustained, consistent output at volume against long, messy, narrative documents that were never written with extraction in mind, and the judgment to flag what doesn’t fit rather than force it.

This is a fully remote role, with a later start date than our most urgent openings. We’re sourcing now so the seat is filled when the work begins.

Key Responsibilities

• Extract structured facts from long, free-text, narrative, and semi-structured documents
• Maintain a traceable pointer from every extracted fact back to the exact source passage it came from
• Validate that every cited passage actually supports the extracted fact, and treat a missing or unsupported citation as a defect
• Distinguish a stated total from a derived sum in financial narratives, retaining the contributing items and the calculation for verification
• Consume the recorded rule context supplied to model-assisted extraction, keeping cited facts and uncertainty separate from any validity decision
• Apply and extend the team’s established extraction approach consistently across new document types
• Handle ambiguous, contradictory, or incomplete source text without forcing a single reading; flag it rather than guessing
• Work with entity resolution and retrieval teammates on what a usable extracted fact needs to carry downstream

Required Qualifications

• 3+ years extracting structured facts or data from unstructured, narrative text in a production setting
• Experience keeping extracted output traceable to its source
• Strong Python, with hands-on NLP or information-extraction tooling, whether rule-based, statistical, or LLM-based
• US Citizenship Required
• Active US Secret clearance

Preferred Qualifications

• Extraction experience in a government, investigative, legal, financial-crime, or intelligence-adjacent setting
• LLM-based extraction with structured output schemas and validation against source text
• Experience where extracted facts fed a downstream matching, scoring, or retrieval system
• Active Top Secret clearance

What Success Looks Like

• Facts extracted at volume, with every claim traceable to its source passage
• Extraction that holds up when a subject-matter expert checks it against the original document
• Sustained throughput across new document types without re-deriving the approach for each one

What We Offer

• A fully remote, results-based environment
• Competitive salary, bonus, and equity package
• 100% employer paid, comprehensive health insurance including medical, dental, and vision for you and your family
• Unlimited PTO, with your manager’s approval
• Flexible work environment where you manage your work day
• 14 weeks of fully-paid parental leave

Salary Range: $130,000—$160,000. This represents the typical salary range for this position based on experience, skills, and other factors.

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

Applicant Data Disclosure

By submitting an application, you acknowledge that Defcon AI uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:

• Managing and administering your application throughout the hiring process;
• Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;
• Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories.

Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact [e-mail].

Defcon AI requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Defcon AI's data retention policies.

For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.