Applied Cryptography Researcher (Research Coding Tasks)
OpenTrain AI, Inc.
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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
Education
Tools
Job description
Create self-contained applied cryptography coding tasks, review AI-generated work, and provide research-level feedback. This remote role requires published research, released code, and a completed or in-progress PhD.
$200/label
Compensation
Contract
Engagement
Remote
Location
Posted
Open in 95 countries
- Albania
- Algeria
- Antigua and Barbuda
- Armenia
- Australia
- Austria
- Bahamas
- Bahrain
- Belgium
- Benin
- Bhutan
- Bosnia and Herzegovina
- Botswana
- Brunei
- Bulgaria
- Canada
- Costa Rica
- Côte d’Ivoire
- Croatia
- Cyprus
- Czechia
- Denmark
- Ecuador
- El Salvador
- Estonia
- Ethiopia
- Finland
- France
- Gambia
- Germany
- Greece
- Guatemala
- Guyana
- Hong Kong
- Hungary
- Iceland
- India
- Indonesia
- Ireland
- Israel
- Italy
- Jamaica
- Jordan
- Kenya
- Kuwait
- Latvia
- Liechtenstein
- Lithuania
- Luxembourg
- Madagascar
- Malaysia
- Malta
- Mauritius
- Mexico
- Moldova
- Mongolia
- Morocco
- Mozambique
- Namibia
- Netherlands
- New Zealand
- North Macedonia
- Norway
- Oman
- Pakistan
- Panama
- Peru
- Philippines
- Poland
- Portugal
- Qatar
- Romania
- Rwanda
- Saint Lucia
- Senegal
- Serbia
- Singapore
- Slovakia
- Slovenia
- South Africa
- Spain
- Sri Lanka
- Sweden
- Switzerland
- Taiwan
- Tanzania
- Thailand
- Trinidad and Tobago
- Tunisia
- Türkiye
- United Arab Emirates
- United Kingdom
- United States
- Uzbekistan
- Vietnam
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.
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.
- 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.
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.
Job details
Location
100% remote
United States + more
- Albania
- Algeria
- Antigua and Barbuda
- Armenia
- Australia
- Austria
- Bahamas
- Bahrain
- Belgium
- Benin
- Bhutan
- Bosnia and Herzegovina
- Botswana
- Brunei
- Bulgaria
- Canada
- Costa Rica
- Côte d’Ivoire
- Croatia
- Cyprus
- Czechia
- Denmark
- Ecuador
- El Salvador
- Estonia
- Ethiopia
- Finland
- France
- Gambia
- Germany
- Greece
- Guatemala
- Guyana
- Hong Kong
- Hungary
- Iceland
- India
- Indonesia
- Ireland
- Israel
- Italy
- Jamaica
- Jordan
- Kenya
- Kuwait
- Latvia
- Liechtenstein
- Lithuania
- Luxembourg
- Madagascar
- Malaysia
- Malta
- Mauritius
- Mexico
- Moldova
- Mongolia
- Morocco
- Mozambique
- Namibia
- Netherlands
- New Zealand
- North Macedonia
- Norway
- Oman
- Pakistan
- Panama
- Peru
- Philippines
- Poland
- Portugal
- Qatar
- Romania
- Rwanda
- Saint Lucia
- Senegal
- Serbia
- Singapore
- Slovakia
- Slovenia
- South Africa
- Spain
- Sri Lanka
- Sweden
- Switzerland
- Taiwan
- Tanzania
- Thailand
- Trinidad and Tobago
- Tunisia
- Türkiye
- United Arab Emirates
- United Kingdom
- United States
- Uzbekistan
- Vietnam
Pay
Languages
Engagement
Contract
Coding & Software
Data type
Computer Code Programming
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