Desmond Muoebonam

Key Skills

Software

Clickworker

CloudFactory

CVAT

Encord

Img Lab

Labelbox

Label Studio

Roboflow

Supervisely

Telus

V7 Labs

Other

Top Subject Matter

Medical/Biology/Scientific Data

Medical/Biology/Scientific Content

Top Data Types

3D Sensor

Image

Text

Video

Top Task Types

Classification

Data Collection

Diagnosis

Evaluation/Rating

Bounding Box

RLHF

Freelancer Overview

AI Data Specialist / Annotator (Freelance / Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Telus. AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and RLHF.

Labeling Experience

AI Data Specialist / Annotator (Freelance / Remote)

TelusTextRLHF

I performed evaluation of AI-generated textual responses in scientific and medical domains, focusing on adherence to clinical facts and scientific accuracy. My work included biological fact-checking, reasoning chain validation, and high-quality feedback to inform LLM improvements. I ensured all responses maintained compliance with medical standards and contributed to safer AI outputs. • Evaluated generative text responses for clinical accuracy and scientific logic. • Fact-checked biological information and assessed reasoning in LLM outputs. • Delivered detailed human feedback as reinforcement (RLHF) for improved language models. • Collaborated remotely for teams such as TELUS International using technical tools (Python, CVAT, Multimango).

I performed evaluation of AI-generated textual responses in scientific and medical domains, focusing on adherence to clinical facts and scientific accuracy. My work included biological fact-checking, reasoning chain validation, and high-quality feedback to inform LLM improvements. I ensured all responses maintained compliance with medical standards and contributed to safer AI outputs. • Evaluated generative text responses for clinical accuracy and scientific logic. • Fact-checked biological information and assessed reasoning in LLM outputs. • Delivered detailed human feedback as reinforcement (RLHF) for improved language models. • Collaborated remotely for teams such as TELUS International using technical tools (Python, CVAT, Multimango).

2024 - Present

AI Data Specialist / Annotator (Freelance / Remote)

CVATImageBounding Box

As an AI Data Specialist/Annotator, I conducted high-precision bounding box, polyline, and keypoint annotation on medical and technical image datasets. I validated data and ensured quality metrics met stringent machine learning requirements. Additionally, I evaluated AI-generated responses for scientific accuracy in clinical biology and pathology use-cases. • Annotated images using bounding box, polyline, and keypoint tools for medical AI models. • Conducted quality assurance checks and rigorous data validation on annotated datasets. • Evaluated the clinical accuracy of AI outputs in biological and pathological contexts. • Used platforms like CVAT and Multimango in collaboration with teams such as TELUS International.

As an AI Data Specialist/Annotator, I conducted high-precision bounding box, polyline, and keypoint annotation on medical and technical image datasets. I validated data and ensured quality metrics met stringent machine learning requirements. Additionally, I evaluated AI-generated responses for scientific accuracy in clinical biology and pathology use-cases. • Annotated images using bounding box, polyline, and keypoint tools for medical AI models. • Conducted quality assurance checks and rigorous data validation on annotated datasets. • Evaluated the clinical accuracy of AI outputs in biological and pathological contexts. • Used platforms like CVAT and Multimango in collaboration with teams such as TELUS International.

2024 - Present

video annotation

CVATVideoBounding BoxObject Detection

Conducted a comprehensive data annotation project focusing on dynamic object localization within various visual environments. The primary goal was to ensure high-precision spatial accuracy for machine learning training sets.

Conducted a comprehensive data annotation project focusing on dynamic object localization within various visual environments. The primary goal was to ensure high-precision spatial accuracy for machine learning training sets.

2025 - 2025

Education

Work History