Apply for the Senior Security Engineer (AI/LLM Trainer)
We are looking for a Senior Software Security Engineer to contribute to the development and evaluation of AI training data for a leading expert human data platform for AI agents and LLMs. You’ll work at the intersection of software engineering and artificial intelligence, helping AI labs and companies build better, safer, and more capable models. This includes writing prompts, producing reference-quality code solutions, evaluating model outputs, and providing the structured human signal that makes AI systems smarter. This is not a traditional engineering role, it is a unique opportunity for senior engineers who want to shape how the next generation of AI understands, generates, and reasons about code.
Key Responsibilities:
- Contribute to the development and evaluation of AI training data for AI agents and LLMs.
- Write prompts for AI training and evaluation.
- Produce reference-quality code solutions.
- Evaluate AI model outputs.
- Provide structured human signal to improve AI systems.
- Evaluate AI agent performance on terminal-based tasks.
- Work with tasks including compiling code, running tests, managing environments, and completing multi-step software engineering workflows.
- Write functional and integration tests.
- Help ensure the quality of AI-generated software engineering outputs.
Core Requirements:
- 5+ years of professional software engineering experience in a backend, AppSec, or Security role.
- Strong proficiency in at least one core programming language, ideally Python (open to Rust, Go, and TypeScript as well).
- Hands-on experience with Terminal-Bench, including evaluating AI agent performance on terminal-based tasks.
- Comfortable working with Linux, Docker, and Git command line/terminal and common development workflows.
- Experience working with supply-chain, vulnerability triage, security credentials, and access control.
- Strong experience writing functional and integration tests. Hands-on practitioners, not reviewers.
- Excellent written and verbal communication skills in English.
- Ability to work independently in a remote, fast-paced environment.
Nice-to-Have:
- Experience working on AI, machine learning, or LLM-related projects.
- Familiarity with software quality assurance methodologies or technical evaluation frameworks.
- Experience working with distributed systems or large-scale applications.
Additional Information:
- This is a unique opportunity for senior engineers interested in shaping how the next generation of AI understands, generates, and reasons about code.
- The role sits at the intersection of software engineering and artificial intelligence, helping AI labs and companies build better, safer, and more capable models.
- US Timezone Overlap: 6 hours preferred with PST time zone.
Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.
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