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About · Gabrial Mathews

Applied mathematics, AI training, and systems built to hold up.

I turn complex ideas into accurate, testable work—from reviewing AI training data and authoring robotics simulations to building independent software and producing music.

Professional path

Experience

Current

Alignerr

Contributor, auditor, and robotics task author

Create and review high-value AI training data across changing programs and domains. Current work includes MuJoCo robotics simulations in which AI systems write policies that turn observations into actions.

March 2024–2025

Outlier AI / Scale AI

AI trainer, reviewer, and quality control specialist

Started in AI training through Outlier AI, quickly became a reviewer of other contributors' work, and was later promoted to quality control, where I worked more directly with Outlier's parent company, Scale AI.

Across the portfolio

Selected work

Three different expressions of the same habit: define the system clearly, test it, and keep iterating.

Robotics simulation

AI-written policy tasks

Simulation environments, policy interfaces, reference controllers, diagnostics, and scoring.

View robotics work →
Independent AI project

GraphDat

Natural-language geometry backed by a fine-tuned model and deterministic scene handling.

View GraphDat →

Contact

Have a difficult system that needs to become clear?

Email me