Joshua M.

Key Skills

Software

Other

Top Subject Matter

Urban safety and customer behavior (computer vision)

Urban safety and customer behavior (video understanding)

Research quality evaluation and structured reporting (text)

Top Data Types

Image

Video

Text

Document

Top Task Types

Classification

Action Recognition

Freelancer Overview

Multimodal Text, Image & Video Annotator with 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Classification, Action Recognition, NER, Sentiment Analysis, Object tracking, Temporal Annotation, Bounding box, Key point Annotation, Frame level tagging, Segmentation and Evaluation.

Labeling Experience

Multimodal Image & Video Annotation (Project)

OtherVideoAction Recognition

You annotated 7 video clips totaling over two minutes of footage to capture temporal and motion context. You performed granular frame-by-frame temporal analysis and segmented video content into 15+ ordered event sequences. This sequencing work supported model learning of motion, causality, and sequence awareness for AI training. • Conducted frame-by-frame temporal analysis • Segmented videos into 15+ ordered event sequences • Labeled motion-related and sequence-dependent content • Enabled model learning of motion, causality, and sequence awareness

2026 - 2026

Multimodal Image & Video Annotation (Project)

OtherImageClassification

You annotated 40+ images as part of a multimodal image and video labeling effort focused on urban safety and customer behavior. You labeled 75+ unique visual elements (e.g., cars, people, trees, motorcycles, groceries, and houses) using a structured schema with 7 classification dimensions. You performed work to improve label clarity, reproducibility, and downstream usability for AI training pipelines. • Defined a structured annotation schema with 7 classification dimensions • Applied consistent labeling across images and multiple object categories • Ensured label clarity and reproducibility for AI training • Supported downstream usability by using a systematic decomposition of visual data

2026 - 2026

Quality Assurance Research Analyst (NIPRD)

Text

You conducted quality assurance and evaluation of 20+ research outputs across multiple domains, focusing on clarity, accuracy, and methodological consistency. You synthesized structured and unstructured information into concise outputs intended to support reporting and decision-making. You collaborated with cross-functional teams to align outputs to predefined evaluation standards and document deviations with structured reasoning. • Evaluated 20+ research outputs for clarity, accuracy, and consistency • Synthesized 50+ structured and unstructured data into concise outputs • Aligned work with evaluation standards across 4 cross-functional teams • Supported 5+ evaluation frameworks and documented deviations with reasoning

2025 - 2026

Education

Work History