Software Engineer - AI Expert
Paid, remote, project-based work for experienced software engineers to help train and evaluate AI coding systems at Alpheva AI: solving real engineering tasks, debugging, reviewing AI-generated code, and creating evaluations. Requires 3+ years of professional engineering experience; pay is $35k-$80k depending on project.
- Compensation
- $35K–$80K / yr
- Location
- San Francisco
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 3+ years of professional software engineering experience
- Strong programming and debugging skills
- Experience working in production codebases
- Ability to understand unfamiliar repositories and systems
- Strong code review and technical judgment
- Experience writing and reviewing tests
- Ability to clearly explain why a solution is correct or incorrect
Nice to have
- Experience with Python, JavaScript/TypeScript, Go, Java, C++, Rust, or similar
- Backend or distributed systems experience
- APIs and microservices experience
- Databases and data systems experience
- Cloud infrastructure experience
- DevOps / CI/CD experience
- Security experience
- Frontend engineering experience
- Mobile development experience
- Machine learning infrastructure experience
- Agentic AI or coding agents experience
Full description
Compensation: $35k – $80k • No equity
Get paid to help build better AI.
Alpheva AI (www.Alpheva.ai) , the silicon valley company that is building intelligence behind frontier AI, is looking for experienced software engineers to participate in paid, project-based work that helps train and evaluate the next generation of AI coding systems.
You work remotely and asynchronously on projects that fit around your existing schedule.
Your engineering experience becomes the signal that helps AI systems learn what good software engineering actually looks like.
Visit website for more infoWhat you'll do
Depending on the project, you may:
- Build: Solve realistic software engineering problems and produce high-quality implementations.
- Evaluate: Review AI-generated code, pull requests, architectures, tests, and debugging approaches.
- Debug: Diagnose failures in real or realistic software repositories and explain what went wrong.
- Review: Assess whether an AI agent's implementation is correct, maintainable, secure, and production-ready.
- Demonstrate: Complete software engineering workflows in real development environments so AI systems can learn how experienced engineers actually work.
- Create evaluations: Develop challenging engineering tasks and criteria for measuring AI coding agents.
- Compare solutions: Assess multiple AI-generated solutions and identify meaningful differences in correctness, quality, and engineering judgment.
- Projects may involve repository navigation, implementation, testing, debugging, code review, system design, and other software engineering workflows.
Who we're looking for
We're looking for experienced working software engineers, not necessarily AI researchers.
You should have:
- 3+ years of professional software engineering experience
- Strong programming and debugging skills
- Experience working in production codebases
- Ability to understand unfamiliar repositories and systems
- Strong code review and technical judgment
- Experience writing and reviewing tests
- Ability to clearly explain why a solution is correct or incorrect
- Experience with any of the following is valuable:
- Python, JavaScript/TypeScript, Go, Java, C++, Rust, or similar
- Backend or distributed systems