Information Extraction Engineer

DEFCON AI, Inc.; Northern (KY); Hybrid; USD 130,000 - 160,000; Full time

Benefits offered by this job

Fully remote role

Competitive salary, bonus, and equity

Employer-paid health insurance (family

Unlimited PTO

Flexible work environment

14 weeks parental leave

Job summary

DEFCON AI, Inc. is seeking a data extraction specialist for a fully remote position. You will pull structured facts from lengthy narratives and tie each fact to its exact passage, ensuring citations are valid and verifiable.

You will work within a team that handles government/cloud‑based data, validating extractions and preserving traceability for downstream matching and retrieval systems. The role emphasizes consistency and volume across diverse document types.

Qualifications

• 3+ years extracting structured data from unstructured, narrative text in production settings.
• Ability to trace output back to its source passages with citations.
• Strong Python with hands-on NLP or information-extraction tooling experience.
• Extraction experience in government, investigative, legal, financial-crime, or intelligence-adjacent settings.
• LLM-based extraction with structured output schemas and validation against source text.
• Experience where extracted facts feed downstream matching, scoring, or retrieval systems.

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.
• Validate that every cited passage supports the extracted fact and flag unsupported citations.
• Distinguish a stated total from a derived sum in financial narratives and retain contributing items.
• Consume the recorded rule context and keep cited facts separate from validity decisions.
• Apply the team’s extraction approach consistently across new document types.
• Handle ambiguous, contradictory, or incomplete source text without guessing; flag it.
• Collaborate with retrieval teammates on downstream needs for extracted facts.

Skills

Python

NLP

Data extraction

Tools

LLMs

Information extraction tooling

Entity resolution

Job description

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

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

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.

As set forth in DEFCON AI’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.