Tech Writers (Research Background)
Aye Ai
- Friendly, Maryland, United States
- Friendly, Maryland, United States
About
Aye
, we’re redefining how people pay, earn, and connect — using
face as the universal identifier
for payments, loyalty, and personalized experiences.
We’re seeking
tech writers with a research or academic background
— individuals familiar with advanced computing and AI domains such as
neural and transformer architectures, advanced learning paradigms, multimodal learning, data tokenization, blockchain systems, quantum AI, human–AI interaction, and biometric authentication.
What You’ll Do You’ll join our weekly product and R&D call (1 hour) to stay close to the technology behind AyeFace, then translate those insights into educational and engaging content — newsletters, Medium articles, and X (Twitter) threads — that help audiences understand the science, security, and innovation powering AyeFace.
This opportunity is ideal for PhD candidates, research assistants, or tech researchers who want to bridge deep tech with public communication and thought leadership in a fast-evolving startup environment.
What We’re Looking For
Background or strong interest in at least one of the following:
AI Model Architectures
(e.g., CNNs, Transformers, multimodal learning)
Biometrics & Computer Vision
Data Tokenization & Privacy-Preserving Systems
Blockchain and Decentralized Identity
Human–AI Interaction and User-Centric Design
Quantum or Neuromorphic Computing
Excellent technical communication and writing skills — able to explain complex systems in a concise, engaging way.
Curious, detail-oriented, and proactive in translating technical depth into accessible narratives.
Familiarity with platforms like
Medium, X (Twitter), Substack, Discord or Reddit
for tech thought leadership.
Comfortable collaborating remotely with a startup team and managing short, creative writing cycles.
How to Apply Send us an email to
jobs@aye-ai.org
with the subject line:
“Application – Tech Writer (Research Background)”
Please include:
A short note (max 1 page) on
a technical or research topic
(e.g., model architecture, data tokenization, or privacy-preserving learning) that you think the public should better understand — and how you’d explain it.
Links to
any past writing or content samples
(articles, threads, academic explainers, or visual explainers) that showcase your communication style.
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Languages
- English
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