Erik Aaron Ramirez

Key Skills

Software

Appen

SuperAnnotate

Clickworker

Label Studio

Mercor

Lionbridge

Mindrift

OneForma

Remotasks

Other

Top Subject Matter

LLM Quality and Safety

Content Moderation & Synthetic Voice Analysis

LLM Evaluation & Red Teaming

Top Data Types

Text

Audio

Image

Top Task Types

RLHF

Classification

Bounding Box

Segmentation

Text Generation

Text Summarization

Red Teaming

Transcription

Data Collection

Freelancer Overview

AI Data Specialist & Content Analyst. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Appen. Education includes Bachelor of Science, Instituto Tecnológico Nacional de México (2011). AI-training focus includes data types such as Text and labeling workflows including RLHF, Classification, and Evaluation.

Labeling Experience

AI Data Specialist & Content Analyst

TextRLHF

As an AI Data Specialist & Content Analyst at RWS-Moravia, I executed critical RLHF data labeling and model evaluation tasks for leading AI models. I utilized advanced labeling platforms to improve response quality and safety in LLMs. Specialized in complex data labeling and prompt engineering to enhance AI performance and reliability. • Executed RLHF and evaluation workflows with proprietary tools. • Enhanced LLM safety and quality via prompt engineering. • Collaborated with global teams to deliver high-quality labeled datasets. • Performed adversarial evaluation to identify model vulnerabilities.

As an AI Data Specialist & Content Analyst at RWS-Moravia, I executed critical RLHF data labeling and model evaluation tasks for leading AI models. I utilized advanced labeling platforms to improve response quality and safety in LLMs. Specialized in complex data labeling and prompt engineering to enhance AI performance and reliability. • Executed RLHF and evaluation workflows with proprietary tools. • Enhanced LLM safety and quality via prompt engineering. • Collaborated with global teams to deliver high-quality labeled datasets. • Performed adversarial evaluation to identify model vulnerabilities.

2025 - Present

Senior LLM Reviewer & QA Specialist

SuperannotateText

As Senior LLM Reviewer & QA Specialist at Outlier.AI, I created and evaluated training datasets to support LLM development and fine-tuning. Applied logical reasoning and prompt engineering to ensure factual accuracy of AI outputs. Played a pivotal role in RLHF and Red Teaming benchmarks for next-generation language models. • Designed evaluation frameworks for LLM fine-tuning. • Generated and reviewed datasets for AI training. • Conducted advanced prompt engineering and adversarial testing. • Utilized SuperAnnotate and internal platforms for data labeling.

As Senior LLM Reviewer & QA Specialist at Outlier.AI, I created and evaluated training datasets to support LLM development and fine-tuning. Applied logical reasoning and prompt engineering to ensure factual accuracy of AI outputs. Played a pivotal role in RLHF and Red Teaming benchmarks for next-generation language models. • Designed evaluation frameworks for LLM fine-tuning. • Generated and reviewed datasets for AI training. • Conducted advanced prompt engineering and adversarial testing. • Utilized SuperAnnotate and internal platforms for data labeling.

2024 - Present

Content Moderator & Search Evaluation Specialist

AppenTextClassification

As a Content Moderator & Search Evaluation Specialist at Appen-CrowdGen, I generated and analyzed training data for content moderation and policy adherence. Focused on multimodal content, I evaluated sensitive material for compliance with safety guidelines. Conducted synthetic voice analysis to provide feedback for AI voice modeling improvements. • Generated training data for trust and safety teams. • Labeled policy violations and sensitive content across modalities. • Provided detailed analysis of synthetic voice parameters. • Used Appen and proprietary tools for evaluation.

As a Content Moderator & Search Evaluation Specialist at Appen-CrowdGen, I generated and analyzed training data for content moderation and policy adherence. Focused on multimodal content, I evaluated sensitive material for compliance with safety guidelines. Conducted synthetic voice analysis to provide feedback for AI voice modeling improvements. • Generated training data for trust and safety teams. • Labeled policy violations and sensitive content across modalities. • Provided detailed analysis of synthetic voice parameters. • Used Appen and proprietary tools for evaluation.

2025 - 2026

Education

Work History