Daniel C.

Key Skills

Software

Micro1

Mercor

Top Subject Matter

NLP text classification and tagging

AI model evaluation datasets and preprocessing

NLP and computer vision dataset annotation QA

Top Data Types

Text

Image

Document

Top Task Types

Classification

Data Collection

Freelancer Overview

Data Annotation Associate (Micro1). Core strengths include Micro1, Mercor, and Alignerr. Education includes Bachelor of Science, Madonna University (2016). AI-training focus includes data types such as Text and labeling workflows including Classification, Data Collection, and Entity (NER).

Labeling Experience

Data Annotation Expert (Outlier AI)

Text

Evaluated and annotated LLM outputs across reasoning, factuality, safety, and other quality dimensions using strict rubric-based scoring systems. Maintained high accuracy with low rejection rates while handling complex edge cases, including ambiguous prompts and adversarial inputs. Contributed feedback loops to improve annotation guidelines and training dataset quality. • Evaluated and annotated LLM responses (reasoning, factuality, safety) • Applied rubric-based scoring for model training data quality • Handled edge cases including ambiguous and adversarial prompts • Provided feedback to refine annotation guidelines

2024 - Present

Annotation Specialist (Alignerr)

Text

Conducted high-volume annotation for NLP and computer vision datasets with a focus on consistent guideline adherence. Classified and tagged data using structured instructions to ensure reliability across large collections. Identified inconsistencies and escalated edge cases for resolution to maintain labeling quality. • Performed classification, tagging, and structured labeling • Ensured consistency using detailed guideline adherence • Flagged and escalated inconsistencies and edge cases • Improved annotation efficiency without quality loss

2023 - 2024

AI Data Generalist (Mercor)

MercorTextData Collection

Performed data preprocessing and contributed to ETL pipelines that supported multimodal and text annotation workflows. Supported AI model evaluation pipelines using accurately labeled data to improve downstream performance. Assisted with data cleaning and preprocessing under evolving requirements. • Supported preprocessing and ETL for labeled datasets • Assisted with cleaning and preparation of annotation inputs • Supported AI model evaluation pipeline data needs • Delivered consistent outputs under tight deadlines

2022 - 2023

Data Annotation Associate (Micro1)

Micro1TextClassification

Completed foundational data annotation tasks supporting classification and tagging projects for machine learning dataset preparation. Followed established guidelines to maintain consistent labeling quality across varied examples. Delivered outputs at high throughput while meeting accuracy benchmarks. • Labeled text classification and tagging data • Applied annotation guidelines and quality standards • Ensured dataset consistency through remote collaboration • Maintained accuracy benchmarks and reporting

2021 - 2022

Education

Work History