Daniel C.

Key Skills

Software

Appen

Lionbridge

Mercor

Micro1

Top Subject Matter

Financial Compliance & Risk Analysis

Health Domain Expertise

Technology Policy & Product Operations

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Classification

Segmentation

Bounding Box

Polygon

Text Generation

Question Answering

Red Teaming

Evaluation/Rating

Function Calling

Freelancer Overview

AI Evaluation & Content Operations Specialist. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Arts, University of Texas at Dallas (2016). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

AI Evaluation & Content Operations Specialist

TextRLHF

As a freelance AI Evaluation & Content Operations Specialist, I evaluated AI-generated text for truthfulness, coherence, and prompt adherence. My work included preference ranking, annotation, and red-teaming, depending on project requirements. Detecting labeling inconsistencies and suggesting fixes was a core aspect of my job. • Performed claim research across finance, health, technology, and general knowledge domains. • Managed multiple client projects simultaneously with strict deadlines and quality targets. • Delivered methodical and consistent quality control at volume remotely. • Ensured guideline compliance, even when ambiguous or evolving.

2022 - Present

AI Content Reviewer

Text

As a Freelance AI Content Reviewer, I reviewed AI-generated outputs to assess their alignment with user queries and intent. I flagged and documented biased, harmful, misleading, or low-quality content with detailed rationales that informed model training. Consistency in evaluation and justification writing was critical across long review sessions. • Conducted in-depth analysis of outputs for accuracy, bias, and completeness. • Drafted structured rationales as feedback for improvement of data models. • Maintained high-quality standards over extensive review cycles. • Helped train AI models through structured feedback and rubric-based assessments.

2019 - 2022

Data Annotation & Content Quality Analyst

TextClassification

As a Data Annotation & Content Quality Analyst, I labeled text datasets for use in machine learning model training. Tasks emphasized accuracy, consistency, and completeness in labeling and annotation verification. Additionally, I performed reviews of written content for task effectiveness and structural clarity. • Identified error patterns in annotations and flagged for quality improvement. • Engaged in volume labeling with strict adherence to guidelines and project standards. • Audited dataset quality to avoid downstream issues in AI workflows. • Maintained annotation integrity across fast-paced, high-volume assignments.

2018 - 2019

Education

Work History