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Veterinary Expert - AI Model Evaluation - San Francisco, CA
Alpheva AI - Oct 07
Agriculture Experts for AI Training - San Francisco, CA
Alpheva AI - Oct 07
Manufacturing Engineering Expert - AI Model Evaluation - San Francisco, CA
Alpheva AI - Oct 07
Data Science Expert - AI Model Evaluation - San Francisco, CA
Alpheva AI - Oct 07
Mechanical Engineering Expert - AI Model Evaluation - San Francisco, CA
Alpheva AI - Oct 07
Medical Expert - AI Model Evaluation - San Francisco, CA
Alpheva AI - Oct 07
Legal Expert - AI Model Evaluation - San Francisco, CA
Alpheva AI - Oct 07
Accounting Expert - San Francisco, CA
Alpheva AI - Oct 07
Financial Expert - AI Model Evaluation - San Francisco, CA
Alpheva AI - Oct 07
Software Engineer - AI Expert - San Francisco, CA
Alpheva AI - Oct 07

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Alpheva AI Joined: October 07, 2026

We Teach Models How Professional Work Gets Done

At Alpheva AI, we transform expert judgment, tools, and professional workflows into the training data, interactive environments, and evaluations that advance frontier AI models. Capability is revealed by complete, real-world workflows—not isolated prompts.

We work alongside top domain specialists to capture the underlying reasoning, tradeoffs, revisions, and choices made under uncertainty, creating the high-quality data and reward signals required for the next generation of artificial intelligence.

Core Thesis

Start with Real Work: Final answers omit the judgment that makes expert work valuable. We capture the full process, structure it for training, and evaluate whether the model has truly learned.

Preserve Expert Reasoning: Assumptions, edge cases, revisions, and corrections contain the vital signals models need to solve complex problems.

Measure Before Claiming: Every AI program needs rigorous evaluation tied directly to the specific behaviors and outcomes it intends to improve.

Design for Verification: Tasks and training environments must make successful completion observable and measurable.

What We Build

Supervised Fine-Tuning (SFT) & Reasoning Traces: High-quality prompts, reasoning trajectories, and expert demonstrations.
Reinforcement Learning & Rubrics: Expert-designed tasks, rubrics, and feedback that translate nuanced human judgment into reliable reward signals. Agent Environments & Computer-Use Trajectories: Tool-connected environments across APIs, software, and services that recreate realistic workflows for training and evaluating autonomous agents.

Domain-Specific Expert Networks: Specialized networks spanning finance, medicine, law, engineering, and over 120+ technical fields.
Applied Research, Close to the WorkOur research, data operations, engineering, and domain expertise operate as one unified team. By staying close to real-world workflows, we make the path from model failure to useful training signal shorter, clearer, and far more effective.

Build Models That Understand Real Work
Tell us where your model struggles. We help design the expert data, evaluations, or environments it needs to succeed. Build with Us | Explore Open Roles