Daniel N.

Key Skills

Software

Data Annotation Tech

Other

Top Subject Matter

AI training data annotation and LLM/AI model evaluation

Top Data Types

Text

Image

Computer Code Programming

Top Task Types

Classification

Computer Programming/Coding

Freelancer Overview

Professional Freelancer / Data Annotation, Labeling & AI Evaluation Specialist. Brings 18+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, Imo State University (2006) and Bachelor of Science, Imo State University (2003). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Professional Freelancer / Data Annotation & Labeling Specialist (Self-Employed, Remote)

Computer Code ProgrammingComputer Programming/Coding

Provided remote data annotation and labeling services for machine learning and AI training datasets across multiple modalities. Ensured dataset quality by following client specifications and maintaining accurate, consistent labels throughout the labeling process. Collaborated with stakeholders to meet project deadlines and quality benchmarks. • Labeled datasets for text, image, and audio data types • Performed quality checks for accuracy and consistency of annotations • Worked with ML/AI dataset requirements and project instructions • Coordinated with clients on deliverables and benchmark adherence

2026 - Present

Professional Freelancer / Data Annotation, Labeling & AI Evaluation Specialist

OtherText

Provide data annotation and labeling tasks for machine learning and AI training datasets across text, image, and audio modalities. Conduct AI model evaluation and output scoring by assessing responses for accuracy, relevance, fluency, and safety against defined rubrics. Apply rubric-based content rating and ensure labeling consistency using inter-annotator agreement principles, resolving ambiguous edge cases. • Support RLHF workflows with comparative and preference-based scoring of AI outputs • Perform rubric-based ranking and tone/factual correctness evaluation • Flag harmful or low-quality responses for quality benchmarking • Collaborate with clients on dataset quality, specifications, and deadlines

2022 - Present

Education

Work History