David M.

Key Skills

Software

Other

Remotasks

Top Subject Matter

AI model evaluation and dataset quality for ML training

Data preprocessing/cleaning and ML performance reporting

Dataset annotation and curation for AI/ML training

Top Data Types

Text

Image

Top Task Types

Data Collection

Entity (NER) Classification

Freelancer Overview

AI Data Specialist at Alignerr (Remote). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Remotasks. Education includes Diploma in Information Technology, Africa Nazarene University. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

AI Data Specialist at Alignerr (Remote)

OtherText

Provided feedback and evaluation on AI model outputs to improve performance. Developed training materials to enhance team skills and refine AI development workflows. • Evaluated AI model outputs and supplied critical feedback • Developed instructional materials and assessment rubrics for internal training • Collaborated with interdisciplinary teams to refine AI training workflows • Optimized dataset quality to improve model performance by reported margins

2024 - 2025

Junior Data Analyst at Upwork Inc. (Remote)

OtherTextData Collection

Performed data preprocessing and cleaning for machine learning projects to improve dataset quality. Built dashboards to visualize AI model performance metrics for stakeholders. • Preprocessed and cleaned data for ML workflows • Reduced data processing time through automation initiatives • Produced dashboards showing AI model performance metrics • Supported stakeholder review of model performance

2023 - 2025

Data Annotation & Curation Specialist at Remotask (Remote)

RemotasksTextEntity (NER) Classification

Annotated and curated diverse datasets using specialized tools to train and refine AI models. Developed annotation guidelines to ensure accuracy, consistency, and overall data quality. • Produced high-quality annotated data to improve model precision and recall • Optimized annotation guidelines to reduce annotation time and disagreement • Identified and reported data inconsistencies to improve validation protocols • Coordinated with project managers and AI engineers on annotation strategies

2023 - 2024

Education

Work History