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Derrick C.

Derrick C.

Freelance AI Math Trainer & Annotator (DataAnnotation.tech)

USA flagClayton, Usa

Key Skills

Software

RemotasksRemotasks
Other
Scale AIScale AI

Top Subject Matter

Mathematical reasoning for LLMs and RLHF dataset quality
Quantitative reasoning and analytical problem-solving dataset annotation
Business analytics data preparation (non-AI labeling)

Top Data Types

TextText
DocumentDocument

Top Task Types

Data CollectionData Collection
ClassificationClassification
RLHFRLHF
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

Freelance AI Math Trainer & Annotator (DataAnnotation.tech). Brings 11+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include DataAnnotation.tech, Remotasks, and Other. Education includes Master of Science, University of North Carolina at Chapel Hill (2015) and Bachelor of Science, University of North Carolina at Chapel Hill (2012). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Freelance AI Math Trainer & Annotator (DataAnnotation.tech)

TextText

Evaluated and ranked AI-generated mathematical responses across calculus, linear algebra, statistics, and discrete mathematics using multi-dimensional quality frameworks. Applied accuracy, reasoning, truthfulness, and consistency standards to improve training data quality for advanced language models. Identified logical errors, mathematical inaccuracies, and edge-case failures, strengthening dataset reliability and reducing annotation inconsistencies.• Conducted structured reasoning assessments to support model alignment and improve mathematical problem-solving performance.• Maintained high-quality review standards for complex quantitative and reasoning-intensive tasks.• Contributed to the development of high-integrity datasets for large-scale AI training initiatives.• Performed large-volume quality review and annotation to ensure dataset correctness and consistency.

2023 - Present
Scale AI

AI Data Specialist (Contract) - Outlier

Scale AIScale AITextTextClassificationClassificationRLHFRLHF

Provided contract support for large-scale datasets centered on quantitative reasoning and analytical problem-solving. Conducted quality assurance reviews to identify discrepancies and improve dataset consistency for machine learning training. Applied standardized taxonomies and evaluation criteria while coordinating peer review feedback to meet project benchmarks and timelines. • Annotated, validated, and performed QA on quantitative reasoning dataset content • Used standardized taxonomies and evaluation rubrics for consistency • Reviewed peer annotations and delivered corrective feedback for quality improvements • Structured and formatted training data for integration into model development workflows

2021 - 2022
Remotasks

AI Data Specialist (Contract) (Outlier / Remotasks)

RemotasksRemotasksTextText

Annotated and validated large-scale datasets focused on quantitative reasoning, analytical problem solving, and data interpretation. Performed quality assurance reviews on annotated content, identifying discrepancies and improving dataset consistency. Applied standardized taxonomies and evaluation criteria to support machine learning model training objectives and delivery requirements.• Reviewed peer-generated annotations and provided corrective feedback to improve project-wide quality outcomes.• Structured and formatted training data for efficient integration into AI model development workflows.• Maintained compliance with project benchmarks, quality requirements, and delivery timelines across multiple annotation programs.

2021 - 2022

Data Analyst & Consultant (Upwork)

OtherTextTextData CollectionData Collection

Provided quantitative analysis and consulting support by converting large datasets into actionable reports, dashboards, and recommendations. Developed data management standards and documentation frameworks to improve data accuracy and consistency for client deliverables. Automated recurring reporting activities using spreadsheet functions and analytical tools to reduce manual effort and improve efficiency.• Managed multiple client engagements simultaneously while maintaining strong delivery performance and client satisfaction.• Built a reputation for accuracy, responsiveness, and analytical problem-solving across independent consulting engagements.• Produced decision-support insights from complex operational and sales datasets.

2016 - 2021

Education

U

University of North Carolina at Chapel Hill

Master of Science, Mathematical Statistics

Master of Science
2015 - 2015
U

University of North Carolina at Chapel Hill

Bachelor of Science, Mathematics

Bachelor of Science
2012 - 2012

Work History

D

DataAnnotation.tech

Freelance AI Math Trainer and Annotator

Clayton
2023 - Present
O

Outlier

AI Data Specialist (Contract)

Clayton
2021 - 2022