Israel Sorinmade S.

Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Datatroniq

Google Cloud Vertex AI

LabelImg

Mercor

Mighty AI

Mindrift

Redbrick AI

Remotasks

Telus

Other

Top Subject Matter

AI transcription and meeting intelligence (healthcare-adjacent meetings)

AI training datasets

agent simulation

Top Data Types

3D Sensor

Audio

Document

Geospatial Tiled Imagery

Image

Medical Dicom

Text

Video

Top Task Types

Action Recognition

Audio Recording

Data Collection

Diagnosis

Emotion Recognition

Evaluation/Rating

Object Detection

Point/Key Point

Prompt + Response Writing (SFT)

Question Answering

Segmentation

Text Generation

Text Summarization

Transcription

Translation/Localization

Tracking

Freelancer Overview

Graphic Designer (AI Product Team) — Otter.ai. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Public Health, University of Greenwich (2021) and Bachelor of Science in Nursing, University of Ibadan (2019). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Tracking.

Labeling Experience

Graphic Designer (AI Product Team) — Otter.ai

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Contributed to human-in-the-loop evaluation workflows by providing structured feedback on AI-generated meeting summaries. Supported model improvement cycles through quality-focused review of outputs and user-facing interface refinements. Focused on aligning AI output presentation with HITL evaluation requirements. • Evaluated AI-generated meeting summaries for quality and clarity. • Fed structured feedback into model improvement iterations. • Designed UX elements to improve interpretability of model outputs. • Supported adoption of multiple AI feature releases via instructional visuals.

2025 - Present

Software Tester (AI Data Quality) - TELUS Digital AI Data Solutions

CVATImageTracking

Validated quality of AI training datasets and annotation workflows across multiple machine learning projects to support downstream model reliability. Conducted systematic QA checks for agent simulation and supervised learning environments, tracking defects and labeling inconsistencies. Improved training outcomes through inter-annotator agreement audits, calibration sessions, and structured defect reporting used to refine guidelines. • Maintained high dataset accuracy and consistency across active ML workstreams • Flagged and resolved defects affecting annotation quality and workflow performance • Coordinated with data scientists and ML engineers on continuous refinement • Documented QA findings to update labeling processes and retrain pipeline logic

2023 - 2024

Software Tester — AI Data Solutions (TELUS Digital AI Data Solutions)

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Validated AI training datasets across multiple ML projects by enforcing quality checks on annotation workflows used in supervised learning. Flagged and resolved large volumes of defects and labeling inconsistencies to improve dataset reliability and downstream model performance. Conducted inter-annotator agreement (IAA) audits and calibration to raise annotation consistency. • Performed systematic quality checks on annotation workflows for agent simulation and supervised learning. • Identified and resolved 200+ defects and labeling inconsistencies. • Improved model training accuracy through rigorous IAA audits and calibration sessions. • Documented QA findings in structured defect reports to update annotation guidelines.

2023 - 2024

Senior UI/UX Designer & QA Engineer — Freelance/Contract

OtherText

Delivered QA and UX support for AI-adjacent SaaS products used by clients, applying evaluation-oriented testing practices to ensure data-driven reliability. Conducted functional, regression, and usability testing to validate user workflows that underpin AI training and evaluation tooling. Built accessible design systems that supported consistent and scalable interfaces for AI-adjacent platforms. • Conducted functional, regression, and usability testing across web and mobile. • Delivered test cases for both technical and non-technical stakeholders. • Built accessible design systems and style guides for scalable UI production. • Redesigned workflows to reduce user task completion time, improving evaluator usability.

2020 - 2023

Education

Work History