David P.

Key Skills

Software

Other

Appen

Argilla

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Datatroniq

Datumbox

Datasaur

Datature

Dataturk

Deep Systems

Top Subject Matter

Video content review

annotation quality verification

and data verification for AI training pipelines

Top Data Types

Video

Text

Image

Top Task Types

Bounding Box

Segmentation

Classification

Polygon

Entity (NER) Classification

Point/Key Point

Polyline

Cuboid

Object Detection

Text Generation

Question Answering

Text Summarization

Freelancer Overview

Quality Assurance Specialist and Data Reviewer (Digital Content Review Division) — video annotation accuracy verificatio. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Science, University of Wisconsin–Madison (2023) and Bachelor of Science, Kenyatta University (2020). AI-training focus includes data types such as Video and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Quality Assurance Specialist and Data Reviewer (Digital Content Review Division) — video annotation accuracy verification and quality control

Video

Reviewed and verified video content and annotated datasets for accuracy, consistency, and rubric adherence, including motion, hand gestures, and object interactions. Conducted frame-level timecode validation and ensured temporal boundary alignment across extended video segments. Escalated ambiguous, incomplete, or logically inconsistent cases for senior review with detailed technical documentation.• Executed high-volume quality checks while maintaining throughput and documentation of quality metrics• Provided feedback on labeling quality patterns and collaborated on corrective procedures with teams and model developers• Tracked consistency metrics and generated process improvement recommendations based on technical analysis• Validated timecode accuracy and action boundary alignment at a frame-level precision standard

2022 - Present

Content Moderation and Data Quality Specialist (Digital Communications Platform) — moderation evaluation and QA labeling support

Video

Moderated and evaluated video submissions across multiple categories using documented moderation criteria and technical evaluation frameworks. Identified non-compliant content and ambiguous submissions requiring clarification, and escalated items exceeding policy or quality thresholds. Maintained audit trails and decision rationales to support platform policy refinement and model improvement.• Processed high-volume content queues while meeting daily assessment targets under QA standards• Documented moderation actions and provided structured feedback to support evaluation workflow improvements• Collaborated with distributed teams to resolve edge cases and apply policies consistently• Applied algorithmic thinking to detect systematic bias or inconsistencies in moderation patterns

2019 - 2022

DataEntry, Verification, and Quality Control Specialist (Administrative Services Division) — verification-focused data QC work

OtherText

Performed accurate data entry with a strong emphasis on verification, quality control, and logical consistency checks. Conducted systematic self-audits and verified records against source documentation while maintaining error rates below organizational thresholds. Organized complex datasets using logical structures and produced well-documented outputs to support decision-making and QA workflows.• Executed verification-focused data capture and correction using sourcedocument comparisons• Maintained detailed records for traceability and audit readiness• Applied computer science principles to efficient data management and QA workflows• Demonstrated reliability and autonomous work capability across assigned tasks

2017 - 2019

Visual Analysis Technician and Technical Evaluator (Educational Media Assessment Program) — technical video quality review for annotation remediation

OtherVideo

Performed frame-by-frame technical analysis of educational video content for instructional accuracy, content precision, and technical quality. Flagged technical defects such as compression artifacts, synchronization issues, and timing inconsistencies that required remediation or rework. Maintained detailed analysis logs and recommended corrective actions with technical evidence to support dataset readiness.• Categorized priority issues through systematic classification and maintained rigorous evidence-based documentation• Supported extended video library processing across multiple simultaneous projects with consistent quality standards• Produced structured technical observations describing what was wrong and what should be corrected

2017 - 2019

Education

Work History