Applied Cryptography Researcher (Research Coding Tasks)

You will create self-contained technical coding tasks for AI training and evaluation in applied cryptography. You will also review AI model outputs, assess their technical correctness, and provide feedback grounded in your research expertise.

The work may involve fully homomorphic encryption, multiparty computation, zero-knowledge systems, private information retrieval, and lattice-based or post-quantum implementations. You will complete assignments in your own area and work with a project lead to keep the materials at research quality.

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

What it pays and takes

This is a remote contractor role with flexible work arrangements. Candidates must be fluent in English and based in one of the countries listed for this role.

• Pay: $200 per label.
• 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.
• Helpful background includes first-author publications, Docker, and reproducible research environments.
• Helpful technical depth includes fully homomorphic encryption, multiparty computation, zero-knowledge, private information retrieval, or lattice-based and post-quantum implementations.
• Open to candidates in the countries listed for this role.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a free platform where people find AI training and data-labeling projects, build a profile, and start applications.

About AI training work

AI training is the human work behind artificial intelligence, including writing coding tasks and reviewing model outputs. Researchers are paid for this work because their subject knowledge helps make AI systems more accurate and reliable in specialized fields.