Technical Content Specialist

Pangram Labs • New York, NY

5d • Onsite

About The Position

Pangram Labs is seeking a Technical Content Specialist to join their team. This role involves producing and maintaining technical and user-facing content across various channels, including research papers, model cards, benchmark evaluations, and technical reports. The position requires a deep understanding of the AI model's architecture, training methodology, and evaluation results, with the ability to communicate complex statistical concepts accurately to both technical and general audiences. The specialist will collaborate closely with research and engineering teams, acting as a guardian of technical accuracy in all published materials.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Write and revise technical papers on the Pangram AI model, including content covering model architecture, training methodology, and evaluation results.
• Write technical reports on Pangram's studies on the prevalence of AI-generated content on the internet and in various domains. These reports will cover methodology, results, and analysis.
• Create user-facing content such as guides, FAQ content, and social media explainers that guide product usage and the interpretation of detection results, including metrics such as false positive rates and the effect of prevalence on accuracy.
• Create clear explanations of how to interpret detection results — confidence scores, thresholds, false-positive/false-negative trade-offs — for non-technical audiences.
• Document our methodology, model behavior, and known limitations in a way that’s accurate to the research and accessible to users.
• Partner with researchers and engineers to turn benchmarks, evaluations, and model updates into published documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level