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Nico Dominguez Carrero

Nico Dominguez Carrero

Expert Reviewer Contractor (AI/LLM Data Labeling and Evaluation)

USA flag
Geneva, Usa
$40.00/hrIntermediateMercor

Key Skills

Software

MercorMercor

Top Subject Matter

Environmental and Sustainability Domain Expertise
Public Health Research, Intervention, and Policy Expertise
Strategy Consulting

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming
DocumentDocument

Top Task Types

Prompt Response Writing SFT
Classification
Text Generation
Evaluation Rating

Freelancer Overview

Expert Reviewer Contractor (AI/LLM Data Labeling and Evaluation). Brings 1 year of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Mercor. Education includes Bachelor of Arts, Harvard College (2025). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

IntermediateFrenchEnglishSpanishPortuguese

Labeling Experience

Mercor

Expert Reviewer Contractor (AI/LLM Data Labeling and Evaluation)

MercorTextPrompt Response Writing SFT
As a Mercor Expert Reviewer Contractor, I contributed to data labeling and AI agent development through prompt engineering and scenario creation. I developed rubrics, identified flawed assumptions, and corrected reasoning to train and evaluate AI systems. The work focused on providing human-labeled data for professional productivity tools and auditing for a tax, accounting, and legal taxonomy project. • Designed prompts and evaluation tasks to train large language models (LLMs) in environmental and sustainability reasoning. • Authored structured scenarios and sample responses for AI model alignment. • Rated and corrected AI-generated outputs in professional productivity and legal/tax subject areas. • Collaborated with teams to refine annotation guidelines and ensure data quality.

As a Mercor Expert Reviewer Contractor, I contributed to data labeling and AI agent development through prompt engineering and scenario creation. I developed rubrics, identified flawed assumptions, and corrected reasoning to train and evaluate AI systems. The work focused on providing human-labeled data for professional productivity tools and auditing for a tax, accounting, and legal taxonomy project. • Designed prompts and evaluation tasks to train large language models (LLMs) in environmental and sustainability reasoning. • Authored structured scenarios and sample responses for AI model alignment. • Rated and corrected AI-generated outputs in professional productivity and legal/tax subject areas. • Collaborated with teams to refine annotation guidelines and ensure data quality.

2025 - Present

Education

H

Harvard College

Bachelor of Arts, Environmental Science and Public Policy

Bachelor of Arts
2021 - 2025

Work History

I

International Committee for the Red Cross

Intern

Geneva
2025 - Present
M

McKinsey & Company

Summer Business Analyst

Dallas
2025 - 2025