Marcos Diaz

Key Skills

Software

Appen

iMerit

Top Subject Matter

Machine Learning/NLP

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

AI Data Trainer / Annotation Specialist – Appen (Contract). Brings 8+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen and iMerit. Education includes Bachelor of Science, Georgia State University (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Data Trainer / Annotation Specialist – Appen (Contract)

AppenText

As an AI Data Trainer and Annotation Specialist at Appen, I trained and evaluated AI models by reviewing outputs for accuracy and bias. My responsibilities included performing high-volume annotation tasks such as classification and text evaluation. I consistently ensured dataset quality and annotation consistency. • Conducted extensive text data evaluation for model performance • Collaborated in RLHF (Reinforcement Learning from Human Feedback) tasks • Maintained annotation guidelines and QA standards • Used Appen and supporting tools like Labelbox and CVAT

As an AI Data Trainer and Annotation Specialist at Appen, I trained and evaluated AI models by reviewing outputs for accuracy and bias. My responsibilities included performing high-volume annotation tasks such as classification and text evaluation. I consistently ensured dataset quality and annotation consistency. • Conducted extensive text data evaluation for model performance • Collaborated in RLHF (Reinforcement Learning from Human Feedback) tasks • Maintained annotation guidelines and QA standards • Used Appen and supporting tools like Labelbox and CVAT

2023 - Present

Data Annotation & Quality Analyst – iMerit Technology

ImeritTextClassification

As a Data Annotation & Quality Analyst at iMerit Technology, I annotated datasets for machine learning applications. I focused on maintaining high accuracy and quality in all annotation projects. My role required continuous QA and careful dataset handling. • Consistently achieved >95% quality in text annotation • Participated in ML data pipeline QA processes • Utilized iMerit internal annotation platforms • Provided structured feedback on label consistency

As a Data Annotation & Quality Analyst at iMerit Technology, I annotated datasets for machine learning applications. I focused on maintaining high accuracy and quality in all annotation projects. My role required continuous QA and careful dataset handling. • Consistently achieved >95% quality in text annotation • Participated in ML data pipeline QA processes • Utilized iMerit internal annotation platforms • Provided structured feedback on label consistency

2021 - 2022

Education

Work History