Robert W.

Key Skills

Software

Google Cloud Vertex AI

Labelbox

LabelImg

Label Studio

Mindrift

OneForma

Toloka

Telus

Micro1

Mercor

iMerit

Top Subject Matter

Visual & media evaluation for AI dataset quality

Video annotation and motion consistency evaluation for AI dataset training

Legal Services & Contract Review

Top Data Types

Image

Video

Text

Document

Top Task Types

Tracking

Classification

Segmentation

Polygon

Bounding Box

Cuboid

Computer Programming/Coding

Data Collection

Prompt + Response Writing (SFT)

Fine-tuning

Freelancer Overview

Visual & Data Annotation Specialist (Remote) - Image & media evaluation and rating. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Taita Taveta University (2017) and Kenya Certificate of Secondary Education, Moi High School Gesusu (2012). AI-training focus includes data types such as Image and Video and labeling workflows including Evaluation, Rating, and Tracking.

Labeling Experience

Visual & Data Annotation Specialist (Remote) - Video annotation and motion analysis

OtherVideoTracking

Annotated and evaluated AI-generated and real-world video content using structured guidelines and rating frameworks. Assessed motion consistency by identifying inconsistencies in movement, tracking, and temporal continuity across frames. Delivered clear written justifications that supported evaluation decisions and dataset QA. • Conducted video frame annotation and temporal/motion analysis • Detected tracking errors and movement inconsistencies across time • Ensured consistent labeling quality at high volume • Participated in dataset quality assurance to reduce labeling errors

2023 - Present

Visual & Data Annotation Specialist (Remote) - Image & media evaluation and rating

OtherImage

Performed structured evaluation of AI-generated and real-world image content using predefined rating systems and detailed guidelines. Assessed visual realism, lighting accuracy, composition quality, and visual coherence across diverse datasets. Produced clear, structured written justifications aligned to annotation frameworks to support consistent decision-making. • Validated realism, shadow/lighting behavior, composition, and subject clarity • Identified visual artifacts and distortions impacting output quality • Ensured high accuracy and consistency across high-volume image rating tasks • Maintained guideline compliance while integrating feedback for model improvement

2023 - Present

Education

Work History