Micaela E.

Key Skills

Software

Mercor

Labelbox

Micro1

Top Subject Matter

AI Content Safety & PII Filtering

Spanish Language & Logic Evaluation for AI

Audio Captioning & Content Review

Top Data Types

Text

Image

Document

Audio

Top Task Types

Bounding Box

Text Summarization

Transcription

RLHF

Evaluation/Rating

Question Answering

Text Generation

Entity (NER) Classification

Classification

Object Detection

Freelancer Overview

Content Reviewer | AI Safety & PII Filtering (Senior Reviewer). Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Mercor, Outlier, and Micro1. Education includes Bachelor of Arts, Universidad Austral (2021) and Certificate in Digital Marketing, University of Chile (2021). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Generalist (Spanish & Logic Evaluation)

MercorText

Reviewed AI-generated prompts and responses across multilingual datasets to identify logic flaws, translation issues, and bias risks. Applied filtering guidelines to detect and redact personal identifiable information (PII) and ensure safety compliance. Produced structured annotations and reports to document failure patterns and refine training data quality. • Conducted bilingual (EN–ES) validation for semantic and contextual accuracy. • Evaluated multiple output formats including text, image, and video. • Assessed prompt and response quality within standardized frameworks. • Enhanced AI datasets by prompt refinement and annotation.

2025 - Present

AI Generalist (Spanish & Logic Evaluation)

Text

Evaluated AI-generated outputs in text, audio, image, and video formats to detect logical inconsistencies, translation inaccuracies, and bias risks. Performed adversarial prompt analysis and bilingual (EN–ES) validation to ensure semantic accuracy and contextual alignment. Produced structured annotations regarding reasoning flaws, jailbreak behaviors, and risk areas to improve AI training datasets and model quality. • Applied structured frameworks and documented criteria for consistent evaluations. • Reviewed text, audio, image, and video content for weakness patterns. • Identified translation and logic errors across multimodal outputs. • Created annotations supporting dataset refinement and AI model improvement.

2025 - Present

AI Content Evaluator (Multimodal & Multilingual)

Audio

Evaluated multilingual AI-generated prompts and model responses in both audio and text formats. Reviewed and validated translations for accuracy, coherence, and alignment across different languages. Assessed model output quality using structured rubrics and provided quality assurance feedback for improvement. • Checked translation accuracy between audio/text formats • Identified and flagged inconsistencies in multilingual datasets • Ensured rubric-based evaluation for AI outputs • Provided annotation support for multimodal AI workflows.

2026 - 2026

Audio Captioning & Content Review Specialist

Micro1AudioClassification

Reviewed and refined audio captions for accuracy, clarity, and consistency. Evaluated the transcription and alignment of audio content against structured guidelines and standards. Corrected inconsistencies in captions and validated audio dataset quality in a project-based context. • Maintained high-quality standards across annotated datasets • Identified and addressed audio/content mismatches • Applied rigorous QA checks in remote workflow • Provided feedback on transcription processes.

2026 - 2026

Education

Work History