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Jesus Perez Frias

Jesus Perez Frias

AI Data Analyst – Mercor

USA flag
Remote, Usa
$30.00/hrIntermediateMercorData Annotation Tech

Key Skills

Software

MercorMercor
Data Annotation TechData Annotation Tech

Top Subject Matter

Financial Analysis
Data & Analytics
Multimodal AI/Spanish

Top Data Types

TextText
VideoVideo
DocumentDocument

Top Task Types

RLHF
Data Collection
Evaluation Rating
Transcription
Red Teaming
Text Summarization
Text Generation
Question Answering
Prompt Response Writing SFT

Freelancer Overview

I have over a year of experience working across multiple AI training platforms including Mercor and DataAnnotation.tech, where I've contributed to LLM evaluation, RLHF, adversarial testing, and domain-specific prompt engineering. My work has spanned financial reasoning, coding evaluation, and multimodal tasks — including designing multi-step financial modeling prompts using SEC EDGAR filings, building detailed rubrics with 30+ weighted criteria to assess model accuracy, and performing RLHF evaluation on AI video generation models across dimensions like instruction adherence, structure preservation, and visual fidelity. I've also done extensive video and audio annotation work, identifying timestamps, labeling actions, transcribing speech, and classifying background noise. As a native Spanish speaker, I've completed many of these same tasks in Spanish, including annotation, evaluation, and prompt engineering for Spanish-language AI training projects. I hold a B.A. in Business Administration from CSU Fullerton and I'm currently completing the Google Data Analytics Professional Certificate, adding SQL, BigQuery, and data cleaning to my toolkit. I'm looking for consistent, high-quality AI training work where I can apply my domain knowledge in finance, content strategy, and data analysis across both English and Spanish project types.

IntermediateEnglishSpanish

Labeling Experience

Mercor

AI Data Analyst – Mercor

MercorTextRLHF
As an AI Data Analyst at Mercor, I evaluated and refined outputs produced by large language models in the domains of financial reasoning, computer coding, and multimodal understanding. My work involved systematic adversarial and red-team testing to uncover biases, weaknesses, and failure modes, ensuring high data quality for further model fine-tuning. I contributed directly to the setting and maintenance of quality standards for model outputs across varied tasks. • Evaluated AI-generated responses across financial, coding, and multimodal challenges. • Conducted adversarial and red-team testing for multiple large language model systems. • Reported on model weaknesses, bias patterns, and failure cases for targeted improvements. • Supported ongoing model refinement and data integrity initiatives.

As an AI Data Analyst at Mercor, I evaluated and refined outputs produced by large language models in the domains of financial reasoning, computer coding, and multimodal understanding. My work involved systematic adversarial and red-team testing to uncover biases, weaknesses, and failure modes, ensuring high data quality for further model fine-tuning. I contributed directly to the setting and maintenance of quality standards for model outputs across varied tasks. • Evaluated AI-generated responses across financial, coding, and multimodal challenges. • Conducted adversarial and red-team testing for multiple large language model systems. • Reported on model weaknesses, bias patterns, and failure cases for targeted improvements. • Supported ongoing model refinement and data integrity initiatives.

2025 - Present
Data Annotation Tech

AI Data Analyst – DataAnnotation.tech

Data Annotation TechTextRLHF
At DataAnnotation.tech, I designed financial modeling prompts and comprehensive evaluation rubrics to rigorously assess AI-generated analytical outputs. I performed RLHF evaluation on AI models, covering video generation, factual and numerical precision, and advanced instruction following. I also compared video outputs for adherence to prompts, structure preservation, and visual fidelity. • Developed and scored multi-step financial modeling prompts using official filings and datasets. • Built 30+ weighted rubric criteria for evaluation of AI-generated financial analyses. • Conducted RLHF evaluations with a focus on accuracy and methodological soundness. • Compared and rated AI-generated video outputs on structure, fidelity, and motion consistency.

At DataAnnotation.tech, I designed financial modeling prompts and comprehensive evaluation rubrics to rigorously assess AI-generated analytical outputs. I performed RLHF evaluation on AI models, covering video generation, factual and numerical precision, and advanced instruction following. I also compared video outputs for adherence to prompts, structure preservation, and visual fidelity. • Developed and scored multi-step financial modeling prompts using official filings and datasets. • Built 30+ weighted rubric criteria for evaluation of AI-generated financial analyses. • Conducted RLHF evaluations with a focus on accuracy and methodological soundness. • Compared and rated AI-generated video outputs on structure, fidelity, and motion consistency.

2024 - 2025

Education

C

California State University, Fullerton

Bachelor of Arts, Business Administration, Entertainment and Hospitality Management

Bachelor of Arts
2021 - 2024
D

De Anza College

Associate of Science, Business Administration

Associate of Science
2020 - 2022

Work History

R

ReciMe

Digital Strategy & Social Media Manager

Remote
2023 - 2025
C

Celerity Media Group

Social Media Manager

Remote
2022 - 2023