Alex G.

Key Skills

Software

Scale AI

Data Annotation Tech

Top Subject Matter

Machine Learning Model Training / Safety / STEM / Coding

Code quality evaluation for LLM fine-tuning

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Freelancer Overview

AI Data Specialist — Remote Freelancer | Outlier AI (Scale AI Platform). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and Data Annotation Tech. Education includes Bachelor of Science, University of Memphis (2025). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

AI Data Specialist — Remote Freelancer | Outlier AI (Scale AI Platform)

Scale AITextRLHF

As an AI Data Specialist at Outlier AI (Scale AI Platform), I delivered annotation and evaluation tasks in coding, reasoning, and STEM domains. My work included pairwise comparisons, output ranking, and safety reviews across text, image, audio, and video data. I ensured high-quality, multilingual annotation supporting global AI model performance. • Executed multi-modal data labeling including text, code, images, audio, and video. • Drove RLHF pipelines with pairwise output comparison and model output ranking. • Performed expert annotation for AI safety and bias, flagging unsafe/policy-violating outputs. • Maintained 95%+ batch quality across large-scale annotation projects.

2024 - Present

Code Quality Evaluation Dataset Contribution

Data Annotation Tech

I contributed to a code quality evaluation dataset for LLM fine-tuning, producing and rating over 500 code-based prompt-response pairs. My responsibilities included assessing correctness, efficiency, security, and style for coding tasks in Python, JavaScript, and SQL. These contributions supported data curation standards for DataAnnotation.tech and Outlier AI projects. • Evaluated code in multiple programming languages for large LLM projects. • Rated prompts/responses for technical accuracy and adherence to best practices. • Fine-tuned LLMs with code evaluation aligned to project protocols. • Enhanced annotation datasets to improve coding model training quality.

2024 - 2024

Education

Work History