Sarai Ceballos

AI QUALITY ANALYST

Talento

Toluca, Toluca de LerdoMiembro desde 29 de mayo de 2024

Data AnnotatorData Evaluation & AnnotationSide-by-side evaluationsFact-checkingQuality assuranceContent evaluationTranscriptionTask verificationAttention to detail

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Data AnnotatorData Evaluation & AnnotationSide-by-side evaluationsFact-checkingQuality assurance

Sobre mí

I am a Data Annotator Specialist with over 3 years of experience in the tech industry, collaborating with globally recognized companies. I ensure the quality and accuracy of data to support the development of machine learning systems, and I have also served as a validator and QA backup, providing rigorous task verification, quality oversight, and adherence to project standards. My background in design and marketing further strengthens my ability to understand user needs and optimize data across diverse projects.

Experiencia

LLM EVALUATION & QA ANALYST

(2023-01 - 2026-12)

Performed side-by-side evaluations of LLM outputs to assess accuracy, relevance, and quality. Conducted fact-checking to identify inconsistencies, adhered to evaluation guidelines, and delivered clear, well-supported justifications using browser-based tools and basic command-line commands.

TRANSCRIPTION SPECIALIST

(2022-01 - 2023-12)

Transcribed and reviewed audio and video content for accuracy, clarity, and formatting consistency while following transcription guidelines.

CONTENT QUALITY & REVIEW

(2022-01 - 2022-12)

Background in evaluation and quality assurance, with experience in annotation, audit-style reviews, and content evaluation. Demonstrates strong attention to detail and consistent adherence to quality standards.

SEARCH ENGINE EVALUATOR

(2022-01 - 2022-12)

Analyze and evaluate videos for relevance and accuracy in relation to specific topics, contributing to the optimization of search engine algorithms and improving overall web experience.

AI QUALITY ANALYST

(2023-01 - 2026-12)

Data Evaluation & Annotation: Experience evaluating and annotating diverse data types, including text, image, and video, with a strong focus on quality, accuracy, and structured reasoning. Skilled in side-by-side evaluations, fact-checking, identifying inconsistencies, and maintaining consistency across large datasets while following established evaluation guidelines.