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AI Crisis Detection Social Media Monitor

Amelia Weber

Full-time · Job · New_York

About the role

A brand crisis on social media can go from zero to catastrophic in 90 minutes. A product recall gets posted, an executive makes a controversial statement, a customer shares a horrifying experience — and by the time the PR team opens their email, 50,000 people have already formed an opinion. Our crisis detection system monitors social media in real time and alerts brand teams within 5 minutes of an emerging crisis. The detection challenge is separating signal from noise. Brands get mentioned thousands of times per day — complaints, praise, random mentions, spam. A crisis isn't a single angry tweet; it's an abnormal spike in negative sentiment that accelerates faster than organic conversation. You'll build the anomaly detection that identifies these acceleration patterns and the classification models that distinguish genuine crises from normal fluctuations. The social intelligence team is four engineers. You'll start with the sentiment classification component, learning how social media text differs from the clean datasets NLP models are typically trained on — abbreviations, sarcasm, emojis, code-switching, and deliberate misspellings all need handling.

Responsibilities

  • Build sentiment classification models for social media text
  • Implement anomaly detection for crisis-level engagement spikes
  • Handle social media text challenges: slang, sarcasm, emojis, code-switching
  • Design alert thresholds balancing early detection with false alarm rates
  • Monitor classification quality across different social platforms
  • Test detection against historical crisis case studies

Requirements

  • 1+ year of Python development with NLP exposure
  • Basic understanding of sentiment analysis and text classification
  • Familiarity with social media data characteristics
  • Interest in brand communications and crisis management
  • Comfort with messy, informal text data

Benefits

  • Fully remote with flexible hours
  • Health and dental insurance
  • $1,500 learning stipend
  • Mentorship from senior NLP engineers
  • Fast-paced, high-impact social intelligence work

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Categories

NLP & Prompt Engineering AI Business, Marketing & Strategy

Skills

python sql hugging face fastapi docker

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Job Type

Full-time

Level

Junior

Language

English

Salary Range

Under $60k / year

AI Expertise

NLP & Prompt Engineering AI Business, Marketing & Strategy

Skills

python sql hugging face fastapi docker

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