Daniel C.

Key Skills

Software

Labelbox

Toloka

Top Subject Matter

AI training data annotation (computer vision)

NLP data annotation and evaluation

Reinforcement learning from human feedback (RLHF) data work

Top Data Types

Image

Text

Document

Top Task Types

Object Detection

Entity (NER) Classification

RLHF

Freelancer Overview

AI/ML/NLP/RLHF Data Annotator & Machine Learning Trainer. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Toloka, and Internal. Education includes Master of Science, Carnegie Mellon University (2017) and Bachelor of Science, University of Kentucky (2019). AI-training focus includes data types such as Image and Text and labeling workflows including Object Detection, Entity (NER) Classification, and RLHF.

Labeling Experience

AI/ML/NLP/RLHF Data Annotator & Machine Learning Trainer

TextRLHF

Executed RLHF tasks including ranking and rating model outputs to guide preference learning. Performed rewriting of responses to improve alignment and safety for downstream AI use. Supported evaluation and iterative improvement loops for training pipelines. • Preference ranking and rating of model outputs. • Rewriting outputs to improve alignment and safety. • Reinforcement learning dataset support for training. • Iterative evaluation aligned to project requirements.

2021 - 2025

AI/ML/NLP/RLHF Data Annotator & Machine Learning Trainer

TolokaTextEntity (NER) Classification

Produced high-accuracy text annotations to support NLP model training and evaluation. Labeled text for NER, sentiment, intent classification, and coreference tasks aligned to AI pipeline requirements. Contributed to natural language processing datasets used across multiple global platforms. • NER, sentiment, and intent classification labeling. • Coreference annotation to link related entities. • Search relevance evaluation and transcription-related evaluation tasks. • Applied labeling guidelines for consistent dataset quality.

2021 - 2025

AI/ML/NLP/RLHF Data Annotator & Machine Learning Trainer

LabelboxImageObject Detection

Delivered high-accuracy image annotations across global AI training pipelines. Labeled visual content for tasks including object detection, segmentation, and keypoint labeling. Ensured consistency and quality against project guidelines throughout fast-changing annotation schemas. • Object detection labeling with bounding boxes. • Segmentation and keypoints labeling. • Quality checks and guideline adherence. • Adaptation to evolving label schemas across platforms.

2021 - 2025

Education

Work History