For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
M

Mirko Camargo

Senior AI Engineer – Data Labeling/Evaluation Lead

Argentina flagSan Luis, Argentina
$40.00/hrExpert

Key Skills

Software

No software listed

Top Subject Matter

Chatbots Domain Expertise
Conversational AI
Nlp Domain Expertise

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

Senior AI Engineer – Data Labeling/Evaluation Lead. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, UCLA (2015). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

ExpertEnglish

Labeling Experience

Senior AI Engineer – Data Labeling/Evaluation Lead

Text
Oversaw AI evaluation and annotation workflows for chatbot and LLM outputs. Maintained high schema compliance in text, image, and audio projects, diagnosing bias and documenting edge cases for model improvement. Summarized QA defects to prioritize fixes in sentiment, intent, and classification pipelines. • Scored relevance, tone, and factual consistency in LLM responses • Validated labels in spreadsheets and SQL extracts • Executed multilingual adversarial prompt testing • Improved inter-rater agreement through rubric updates

Oversaw AI evaluation and annotation workflows for chatbot and LLM outputs. Maintained high schema compliance in text, image, and audio projects, diagnosing bias and documenting edge cases for model improvement. Summarized QA defects to prioritize fixes in sentiment, intent, and classification pipelines. • Scored relevance, tone, and factual consistency in LLM responses • Validated labels in spreadsheets and SQL extracts • Executed multilingual adversarial prompt testing • Improved inter-rater agreement through rubric updates

2025 - Present

Senior AI Trainer – Data Annotation & Quality

TextClassification
Reviewed, tagged, and categorized AI-generated conversational datasets for intent, sentiment, and topic classification. Audited thousands of records in annotation tools to catch inconsistencies and maintain high label accuracy. Flagged and routed unsafe language for human review, ensuring safer model deployment. • Supported iterative improvement of scoring rubrics • Revised AI output for guideline drift • Tracked model error patterns in SQL-backed review logs • Verified training examples for high-confidence updates

Reviewed, tagged, and categorized AI-generated conversational datasets for intent, sentiment, and topic classification. Audited thousands of records in annotation tools to catch inconsistencies and maintain high label accuracy. Flagged and routed unsafe language for human review, ensuring safer model deployment. • Supported iterative improvement of scoring rubrics • Revised AI output for guideline drift • Tracked model error patterns in SQL-backed review logs • Verified training examples for high-confidence updates

2021 - 2025

AI Trainer – NLP Data Annotation & QA

TextEntity Ner Classification
Labeled and evaluated large text datasets for entity extraction, intent detection, and sentiment analysis in NLP workflows. Standardized guidelines and surfaced bias patterns to improve label consistency. Maintained annotation accuracy and supported prompt-response testing for chatbot pre-launches. • Evaluated model outputs for accuracy and tone • Aided edge-case documentation • Compared model predictions via SQL reporting • Managed annotation records in labeling tools

Labeled and evaluated large text datasets for entity extraction, intent detection, and sentiment analysis in NLP workflows. Standardized guidelines and surfaced bias patterns to improve label consistency. Maintained annotation accuracy and supported prompt-response testing for chatbot pre-launches. • Evaluated model outputs for accuracy and tone • Aided edge-case documentation • Compared model predictions via SQL reporting • Managed annotation records in labeling tools

2019 - 2021

AI Data Annotator – Text & Support Automation

TextClassification
Labeled text and associated metadata for information retrieval, search, and support automation initiatives. Reviewed and corrected thousands of records, increasing dataset completeness and annotation reliability. Applied consistent tagging and thorough cross-checks to strengthen quality assurance processes. • Managed label QA and project reporting • Developed field-level error correction workflows • Identified and tracked data quality issues • Supported classification efforts for security and support content

Labeled text and associated metadata for information retrieval, search, and support automation initiatives. Reviewed and corrected thousands of records, increasing dataset completeness and annotation reliability. Applied consistent tagging and thorough cross-checks to strengthen quality assurance processes. • Managed label QA and project reporting • Developed field-level error correction workflows • Identified and tracked data quality issues • Supported classification efforts for security and support content

2015 - 2019

Education

U

UCLA

Bachelor of Science, Computer Science

Bachelor of Science
2011 - 2015

Work History

S

Senior AI Engineer

Senior AI Engineer

Oakland
2025 - Present
A

Affirm

Senior AI Trainer

San Francisco
2021 - 2025