Information Extraction Engineer

atDefcon AIRemoteUS flagVirginiaFull-timeEngineerMid-levelSenior$130k – $160k/year

Posted 1 day ago

This is a fully remote position, open to applicants in Virginia.

πŸ“‹ Description

β€’ Extract structured information from lengthy, free-text, narrative, and semi-structured documents.

β€’ Ensure a traceable connection from each extracted fact back to the exact source passage from which it originated.

β€’ Confirm that every referenced passage genuinely supports the extracted fact, treating any missing or unsupported citation as a defect.

β€’ Differentiate between a stated total and a derived sum in financial narratives, while preserving the contributing items and the calculations for verification.

β€’ Utilize the provided rule context for model-assisted extraction, keeping cited facts and uncertainties distinct from any validity determination.

β€’ Consistently apply and enhance the team's established extraction methods across new document types.

β€’ Navigate ambiguous, contradictory, or incomplete source text without forcing a singular interpretation; flag it instead of making assumptions.

β€’ Collaborate with entity resolution and retrieval colleagues regarding the requirements of usable extracted facts for downstream processes.

β€’ Produce extracted facts at scale, ensuring each claim is traceable to its source passage.

β€’ Maintain throughput across various new document types without needing to re-derive the extraction approach for each.


⛳️ Requirements

β€’ Over 3 years of experience in extracting structured facts or data from unstructured, narrative text in a production environment.

β€’ Proven track record of keeping extracted output linked to its source.

β€’ Proficient in Python, with practical experience in NLP or information-extraction tools, whether they are rule-based, statistical, or LLM-based.

β€’ US Citizenship is Required.

β€’ Active US Secret clearance.

β€’ Preferred: Experience in extraction within government, investigative, legal, financial-crime, or intelligence-adjacent contexts.

β€’ Preferred: LLM-based extraction experience with structured output schemas and validation against source text.

β€’ Preferred: Background where extracted facts contributed to a downstream matching, scoring, or retrieval system.

β€’ Preferred: Active Top Secret clearance.


🏝️ Benefits

β€’ A fully remote, results-oriented work environment.

β€’ Competitive salary, bonus, and equity package.

β€’ 100% employer-covered, comprehensive health insurance, including medical, dental, and vision for you and your family.

β€’ Unlimited paid time off, subject to manager's approval.

β€’ Flexible work environment allowing you to manage your workday effectively.

β€’ 14 weeks of fully-paid parental leave.

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