Job Title: Software Engineering

Job Type: Contractor (10-15 hours per week)

Location: Remote

Job Summary:

We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.

On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security vulnerabilities in code. Your task will be to create a reproducible RL env in which a known CVE is present/injected in the repository and must be fixed by the model.

As an expert you will be creating Reinforcement Learning Environments which test and AI model’s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.

Required Skills and Qualifications:

1. 3+ years of hands-on software engineering experience.
2. Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, , Java, C++, Go or Rust
3. A Cybersecurity/SecOps background or exposure is highly preferred
4. Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
5. Ability to explain complex engineering decisions clearly and objectively.
6. Comfortable reading and reasoning through unfamiliar code or technical requirements

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.