Matheus L.

Key Skills

Software

Scale AI

Top Subject Matter

Coding task labeling and evaluation for AI training

STEM content authoring and evaluation for AI

Legal Services & Contract Review

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Computer Programming/Coding

RLHF

Evaluation/Rating

Prompt + Response Writing (SFT)

Freelancer Overview

Coding AI Trainer, DataAnnotation Tech (Remote). Professional background includes roles such as Full Stack Developer (Backend Focus) and Software Engineer. Core strengths include DataAnnotation Tech and Outlier AI. Education includes Bachelor's Degree, Descomplica University. AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Computer Programming, Coding, and Evaluation.

Labeling Experience

Math & Physics Expert, Outlier AI (Remote)

Text

Developed and evaluated advanced STEM physics and mathematics content for AI training and assessment workflows. Produced high-accuracy multi-step solutions with structured reasoning, verification steps, and deterministic final answers. Reviewed model outputs for correctness, logical consistency, and technical depth across quantitative tasks. • Created training/assessment prompts grounded in physics and math concepts • Checked step-by-step reasoning quality and final-answer correctness • Validated quantitative consistency and technical rigor • Rated outputs based on logical and domain accuracy

2020

Coding AI Trainer, DataAnnotation Tech (Remote)

Designed and evaluated coding tasks and solutions for AI model training pipelines across Python and other languages. Assessed code correctness, logical structure, and compliance with provided specifications while ensuring reproducible outputs. Contributed to benchmark-oriented evaluation workflows requiring precise technical writing in English. • Verified expected behavior of solutions against task requirements • Reviewed logical reasoning steps for consistency and determinism • Ensured guideline adherence for dataset quality • Supported benchmark-oriented QA and documentation

2020

Education

Work History