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AI Preprint Screening and Classification Engineer

Scirvex Intelligence

Remote · $80k – $100k / year · Full-time · Posted 4 months ago

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About the role

Scirvex Intelligence builds AI tools for research institutions and pharmaceutical R&D teams who need to monitor the scientific literature at scale. Every day, 5,000+ preprints are posted to bioRxiv, medRxiv, arXiv, and SSRN. Our clients need to know which ones are relevant to their research agenda — today, not next week after peer review. In this junior role, you'll build the classification and relevance screening models that filter the daily preprint stream for each client. You'll fine-tune domain-specific classification models, develop relevance scoring pipelines based on client-defined research portfolios, and help maintain the ingestion pipeline that keeps preprint feeds current. You'll work closely with a senior NLP engineer who will guide your model development. This is a high-feedback-loop environment: clients tell us within days whether our relevance scores are hitting or missing. You'll iterate quickly on model quality based on real user feedback. A great entry point for someone with NLP coursework or project experience who wants to work with real scientific text.

Fully remote.

Responsibilities

  • Fine-tune domain-specific classification models for preprint relevance screening
  • Build relevance scoring pipelines based on client research portfolio definitions
  • Maintain preprint ingestion pipelines from bioRxiv, medRxiv, arXiv, and SSRN
  • Evaluate model performance against client relevance feedback signals
  • Collaborate with senior NLP engineer on model selection and fine-tuning strategies

Requirements

  • Basic Python and PyTorch skills
  • Familiarity with Hugging Face transformers
  • Interest in scientific literature, research tools, or biomedical NLP
  • Understanding of text classification evaluation metrics
  • Prior NLP coursework or project experience is sufficient

Benefits

  • Fully remote
  • Health and dental insurance
  • Mentorship from senior NLP engineers
  • Annual learning budget ($700)
  • Access to large proprietary scientific text datasets

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Categories

NLP & Prompt Engineering Data Science & Analytics

Skills

python hugging face pytorch rag scikit-learn

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Job Type

Full-time

Level

Junior

Language

English

Salary Range

$80k – $100k / year

AI Expertise

NLP & Prompt Engineering Data Science & Analytics

Skills

python hugging face pytorch rag scikit-learn

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