36.3608, Jobs: English based; English; Computational Linguistics: NLP Engineer - Real-Time Bias Detection in Meeting Transcripts, XcellerateEQ

[The LINGUIST List]

LINGUIST List: Vol-36-3608. Tue Nov 25 2025. ISSN: 1069 - 4875.

Subject: 36.3608, Jobs: English based; English; Computational Linguistics: NLP Engineer - Real-Time Bias Detection in Meeting Transcripts, XcellerateEQ

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================================================================


Date: 21-Nov-2025
From: John Thomas Foxworthy [johnthomas at gids.co]
Subject: English based; English; Computational Linguistics: NLP Engineer - Real-Time Bias Detection in Meeting Transcripts, XcellerateEQ


Job Location: USA
Web Address: https://xcellerateeq.ai/
Job Title: NLP Engineer - Real-Time Bias Detection in Meeting
Transcripts
Job Rank: Consultant
Salary: $100-150/hr depending on experience

Minimum Education: PhD in Psychology or Linguistics

Specialty Areas: Computational Linguistics

Specialty Language(s): English (eng)
                       English based

Other Specialties: NLP experience: text classification, sentiment
analysis, linguistic feature extraction
Description:
Build production NLP algorithms that detect cognitive biases
(anchoring, confirmation bias, groupthink) in real-time corporate
meeting transcripts. You'll create linguistic feature extraction
pipelines that integrate with AI-powered meeting analytics serving
Fortune 500 decision-makers.
Deliverables (4-week sprint):
 - Bias detection algorithm specifications for 3 priority biases with
documented trade-offs
 - Feature engineering: Extract signals from meeting transcripts
(speaking patterns, question framing, agreement clustering)
 - Working Python prototype: Process transcript + audio features →
bias scores + confidence intervals + timestamps
 - Zoom SDK integration specifications for real-time implementation by
the engineering team
 - Test dataset: 50+ labeled meeting scenarios demonstrating algorithm
performance
Required Qualifications:
 - Strong Python programming (ML/NLP libraries: spaCy, NLTK, Hugging
Face)
 - NLP experience: text classification, sentiment analysis, linguistic
feature extraction
 - Statistical modeling: classification, regression, model validation
 - Production mindset: Git, testing, documentation, performance
optimization
Strong Plus:
 - Real-time data processing (streaming pipelines, websockets)
 - Startup or fast-paced product development experience
 - Published NLP research or GitHub projects in applied computational
linguistics
Timeline:
 - Start within 7 days of acceptance
 - 4 weeks, 20-30 hours/week (full-time preferred)
 - Remote work with flexible hours

Application Deadline: (Open until filled)
Mailing Address for Applications:
        Alto Enterprises, Inc.
        510 Morris Avenue
        Summit, NJ 07901
        USA
Email Address for Applications: johnthomas at gids.co
Application Instructions:
Email johnthomas at gids.co with:
CV or LinkedIn profile
GitHub repository or portfolio showing NLP work
Brief note (2-3 sentences) on a relevant classification or detection
system you've built
Contact Information:
        John Thomas Foxworthy
        Email: johnthomas at gids.co
        Phone: 310 750 5783



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