Senior Staff Software Engineer shaping AI, risk, fraud, and operational systems at Priority Commerce. Defining scalable distributed - systems architecture across engineering domains.
About the role
- Senior software engineers designing and evaluating real-world coding tasks for Mercor’s AI research lab partners. Training frontier models with expert software engineering judgment.
Responsibilities
- Design realistic, challenging software engineering tasks based on real-world work
- Create tasks involving feature changes, debugging, root-cause analysis, code review, system design, architecture decisions, codebase Q&A, and technical documentation and planning
- Write clear task proposals explaining realism, verification, and difficulty for current AI models
- Write reference solutions, tests, and precise task-specific criteria covering correctness, architecture, maintainability, style, and scope
- Assess AI-generated code and engineering work
- Work alongside AI coding agents to evaluate where they succeed and fail
- Apply consistent, evidence-based judgment so assessments are reproducible and defensible
- Receive structured feedback from senior reviewers and iterate on submitted work
- Train and evaluate frontier AI models for real-world software engineering work
Requirements
- 4+ years of professional software engineering experience in a qualifying technology, quantitative, financial, or high-growth technology company setting
- Experience at a leading technology or quantitative firm, top financial institution, or high-growth household-name technology company
- Mid-senior or senior-level title where specified
- Machine Learning, Infrastructure, Data, Security, or Quant Developer engineering experience may qualify
- Strong command of at least one major language such as Python, Java, C++, Go, TypeScript, or Rust
- System design, testing, debugging, and code review skills
- Experience working in large, complex production codebases
- Ability to judge code quality beyond whether tests pass
- Excellent written English and ability to explain technical decisions and trade-offs clearly
- Bachelor's degree from an English-speaking country
- Detail-oriented and consistent approach to evaluating complex work
- Comfortable receiving feedback and calibrating judgment against set standards
- Must be based in the United States, United Kingdom, Canada, Australia, or New Zealand
- H1-B and STEM OPT candidates are not supported
Benefits
- Fully remote role
- Flexible own schedule
- Weekly payments via Stripe or Wise
- Competitive pay
- Collaboration with leading researchers
- Projects may be extended, shortened, or concluded early depending on needs and performance
- Reasonable accommodations upon request
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