Software Engineer - AI Expert

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 info

What 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:

1. 3+ years of professional software engineering experience
2. Strong programming and debugging skills
3. Experience working in production codebases
4. Ability to understand unfamiliar repositories and systems
5. Strong code review and technical judgment
6. Experience writing and reviewing tests
7. Ability to clearly explain why a solution is correct or incorrect
8. Experience with any of the following is valuable:
9. Python, JavaScript/TypeScript, Go, Java, C++, Rust, or similar
10. Backend or distributed systems
11. APIs and microservices
12. Databases and data systems
13. Cloud infrastructure
14. DevOps / CI/CD
15. Security
16. Frontend engineering
17. Mobile development
18. Machine learning infrastructure
19. Agentic AI or coding agents
20. You do not need prior experience working in AI.

What matters most is that you know how to do software engineering well.
You might be asked to:

Fix a bug in an unfamiliar repository.Review an AI-generated pull request and identify the issues.Implement a feature and write the appropriate tests.Compare two AI-generated implementations and determine which actually works.Debug a failing application and explain the root cause.Evaluate whether an AI coding agent successfully completed an engineering task.Work through a multi-step software engineering task in a real development environment.
The goal is not simply to determine whether code looks good.

The goal is to capture the judgment an experienced engineer uses to determine whether software actually works.

Compensation
Paid project-based work.

Rates vary based on your experience, specialization, and project requirements. Your applicable rate and project scope will be shown before you commit to a project.

Some projects are short assignments. Others may involve recurring work over a longer period.
There is no fixed schedule and no minimum commitment.

• Work arrangement
• Remote
• Asynchronous
• Project-based
• Flexible hours
• Work around your existing job or commitments
• Paid for qualifying project work
• But writing a plausible-looking patch is not the same as being a good software engineer.
• AI needs to learn how experienced engineers:
• Understand unfamiliar systems
• Make architectural tradeoffs
• Debug failures
• Write reliable tests
• Review code
• Handle edge cases
• Reason about security and performance
• Decide when an implementation is actually production-ready
• That's where you come in.
• Your engineering judgment helps shape how AI learns to build software.

How it works

1. Apply Tell us about your engineering background, experience, and areas of expertise.
2. Get qualified Complete a short, paid software engineering assessment designed around the type of work you'll perform.
3. Get matched When your experience matches an active project, we'll share the scope, requirements, and compensation. 4.** Do the work** Complete projects remotely and asynchronously.
4. Get paid Receive the agreed rate for your completed work.

Help teach AI how great engineers actually work.