Christian Lucz

Key Skills

Software

Mercor

Scale AI

Top Subject Matter

AI Training Data Quality Assurance

Model Evaluation

Bias Mitigation

Top Data Types

Text

Audio

Image

Document

Top Task Types

Transcription

Classification

Freelancer Overview

Task Auditor. Brings 12+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Mercor and Scale AI. Education includes High School Diploma, Pattonville Sr. High School (2015). AI-training focus includes data types such as Text, Audio, and Geospatial and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

Task Auditor

MercorText

As a task auditor for AI training data, I performed high-level quality control, acting as the final verifier to ensure the integrity of labeled data and AI-generated outputs. I prioritized accuracy, strict guideline adherence, and unbiased data validation utilizing advanced labeling taxonomies. This position demanded meticulous preference ranking and structured feedback to align model performance with project expectations. • Conducted in-depth quality assurance reviews of AI and human-labeled outputs. • Enforced inter-annotator agreement, ensuring consistency across annotators according to rubrics. • Identified and corrected data biases for fair and representative AI model training. • Provided critical feedback to engineering teams to refine labeling standards and project guidelines.

As a task auditor for AI training data, I performed high-level quality control, acting as the final verifier to ensure the integrity of labeled data and AI-generated outputs. I prioritized accuracy, strict guideline adherence, and unbiased data validation utilizing advanced labeling taxonomies. This position demanded meticulous preference ranking and structured feedback to align model performance with project expectations. • Conducted in-depth quality assurance reviews of AI and human-labeled outputs. • Enforced inter-annotator agreement, ensuring consistency across annotators according to rubrics. • Identified and corrected data biases for fair and representative AI model training. • Provided critical feedback to engineering teams to refine labeling standards and project guidelines.

2026 - Present

Audio/Video Annotation / AI Teacher

MercorAudioTranscription

In my role as Audio/Video Annotation AI Teacher, I designed and delivered educational content for annotators focusing on preparing labeled audio and video datasets. I taught best practices in annotation, segmentation, and transcription to ensure reliable model training data. My work included overseeing quality protocols and serving as the bridge between annotators and machine learning engineers. • Developed and implemented training curricula for audio and video annotation tasks. • Guided teams in annotation tool proficiency and QA protocols. • Defined and applied complex labeling taxonomies for facial/action recognition and speech-to-text. • Interpreted model feedback to update annotation guidelines and project standards.

In my role as Audio/Video Annotation AI Teacher, I designed and delivered educational content for annotators focusing on preparing labeled audio and video datasets. I taught best practices in annotation, segmentation, and transcription to ensure reliable model training data. My work included overseeing quality protocols and serving as the bridge between annotators and machine learning engineers. • Developed and implemented training curricula for audio and video annotation tasks. • Guided teams in annotation tool proficiency and QA protocols. • Defined and applied complex labeling taxonomies for facial/action recognition and speech-to-text. • Interpreted model feedback to update annotation guidelines and project standards.

2025 - 2026

Data Imagery Annotation Analyst

Scale AIClassification

I was responsible for analyzing and annotating multi-source imagery to support intelligence operations. My tasks involved identifying installations, equipment, and patterns, producing geospatial intelligence products, and ensuring rapid, high-accuracy labeling. Strong quality control and multidisciplinary collaboration were essential to successfully meet mission-critical needs. • Analyzed EO, IR, SAR, and FMV imagery for annotation and reporting. • Produced geospatial intelligence deliverables for mission planning. • Detected, classified, and annotated infrastructure and operational indicators. • Collaborated across teams to integrate annotated data into assessments.

I was responsible for analyzing and annotating multi-source imagery to support intelligence operations. My tasks involved identifying installations, equipment, and patterns, producing geospatial intelligence products, and ensuring rapid, high-accuracy labeling. Strong quality control and multidisciplinary collaboration were essential to successfully meet mission-critical needs. • Analyzed EO, IR, SAR, and FMV imagery for annotation and reporting. • Produced geospatial intelligence deliverables for mission planning. • Detected, classified, and annotated infrastructure and operational indicators. • Collaborated across teams to integrate annotated data into assessments.

2021 - 2024

Education

Work History