Technical Content Specialist
On-siteNew York City, New York, United States or Brooklyn, New York, United States
Job Summary
Write and revise technical papers on the Pangram AI model covering architecture, training methodology, and evaluation results. Produce technical reports on studies regarding the prevalence of AI-generated content, detailing methodology, results, and analysis. Create user-facing guides, FAQs, and social media explainers that interpret detection results, confidence scores, and statistical metrics like false positive rates for both technical and general audiences. Document model behavior, known limitations, and benchmarks to ensure accuracy across all published material. Partner with researchers and engineers to transform evaluations into published documentation.
Required Qualifications
- Bachelor's degree (or higher) in Computer Science, Mathematics, Statistics, or a closely related quantitative field
- Demonstrated ability to understand and accurately communicate machine-learning concepts, including model architecture, training methodology, and statistical evaluation
- Strong command of applied statistics and probability, including false positive/negative rates, precision and recall, and base-rate/prevalence effects on predictive accuracy
- Excellent written communication skills, with the ability to adapt technical content for both expert and general audiences
- Ability to work directly with research and engineering teams as a technical peer
Desired Qualifications
- Familiarity with machine learning and natural language processing, especially text classification and model evaluation
- Experience creating data visualizations (e.g., ROC curves, precision-recall curves, calibration plots, confusion matrices)
- Experience with documentation tooling and publishing workflows
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