Software Engineer - AI Expert Job

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.

IMPORTANT: To be considered, Please Apply directly at: https://alpheva.ai/experts/

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:

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
APIs and microservices
Databases and data systems
Cloud infrastructure
DevOps / CI/CD
Security
Frontend engineering
Mobile development
Machine learning infrastructure
Agentic AI or coding agents
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

Apply Tell us about your engineering background, experience, and areas of expertise.
Get qualified Complete a short, paid software engineering assessment designed around the type of work you'll perform.
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.
Get paid Receive the agreed rate for your completed work.
Help teach AI how great engineers actually work.

Alpheva AI is an AI infrastructure and data company focused on helping frontier/artificial AI systems learn, evaluate, and perform complex real-world work. It transforms expert judgment, professional workflows, and human feedback into high-quality training data, reinforcement-learning signals, agent environments, and evaluations. Alpheva AI Core capabilities: - Expert training data & reasoning traces - AI model evaluations and benchmarks - Reinforcement learning and expert rubrics - Agent and computer-use environments - Professional domain data - Custom model improvement and post-training - Deep research and multimodal reasoning data Alpheva AI Alpheva works across 120+ professional and specialized domains, including finance, accounting, law, software, healthcare, engineering, risk, science, and operations. Alpheva AI Mission: Help AI move beyond producing plausible answers to reliably performing real professional work by teaching models from the people who actually do that w