Remote Applied Cryptography Researcher (PhD Required)

OpenTrain AI, Inc.; United States; Remote; USD 234,000 - 317,000; Full time

Job summary

OpenTrain AI, Inc. is seeking an Applied Cryptography Researcher to create self-contained coding tasks for AI training and evaluation. The role involves reviewing AI-generated work and delivering research-level feedback.

A remote engagement requires a completed or in-progress PhD and published cryptography research. You will work on tasks involving fully homomorphic encryption, MPC, zero-knowledge, private information retrieval, and post-quantum methods, with tasks assigned by a project lead to

Qualifications

• A completed or in-progress PhD in computer science or a related field is required.
• Published applied cryptography research is required, including work at venues such as CRYPTO, Eurocrypt, CCS, USENIX Security, PETS, or comparable venues.
• Released research code through GitHub or another research artifact is required.
• Hands-on research coding ability is required.
• You must be able to assess the technical correctness of AI-generated work.

Responsibilities

• Build self-contained research coding tasks in applied cryptography.
• Review AI-generated code and technical answers.
• Provide technically grounded feedback on model outputs.
• Complete self-contained research coding assignments.
• Apply your subject expertise to research-oriented programming problems.

Skills

Hands-on coding

Applied cryptography research

Code review

English proficiency

Education

PhD in computer science or related field

Tools

Docker

GitHub artifacts

Job description

OpenTrain AI, Inc. is seeking an Applied Cryptography Researcher to create self-contained coding tasks for AI training and evaluation. The role involves reviewing AI-generated work and delivering research-level feedback.

A remote engagement requires a completed or in-progress PhD and published cryptography research. You will work on tasks involving fully homomorphic encryption, MPC, zero-knowledge, private information retrieval, and post-quantum methods, with tasks assigned by a project lead to