justene tumminello

Key Skills

Software

CVAT

Labelbox

Scale AI

AWS SageMaker

Remotasks

Google Cloud Vertex AI

Appen

Top Subject Matter

Multimodal Image Data – Visual Question Answering (VQA)

Qa Domain Expertise

Autonomous Vehicles – Multi-Object Tracking in Videos

Top Data Types

Image

Video

Text

Document

Top Task Types

Question Answering

Tracking

RLHF

Freelancer Overview

Senior AI Training Specialist (QA Lead). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Labelbox, and Scale AI. Education includes Bachelor of Arts, Strathmore University (2023). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Question Answering, Tracking, and RLHF.

Labeling Experience

Senior AI Training Specialist (QA Lead)

CVATImageQuestion Answering

As Senior AI Training Specialist and QA Lead, I managed QA for advanced multimodal image-to-text projects, ensuring perfect alignment between visual input and model response. I conducted deep audits to ensure linguistic precision and documented unanswerable cases with clear, technical justification. Exceeded efficiency benchmarks while maintaining quality and leading team-based quality assurance processes. • Led QA for image question answering tasks ensuring gold standard data. • Performed detailed dataset audits for grammar, logic, and cultural relevance. • Authored rationale for edge-case or ambiguous prompts. • Streamlined throughput without loss of accuracy.

As Senior AI Training Specialist and QA Lead, I managed QA for advanced multimodal image-to-text projects, ensuring perfect alignment between visual input and model response. I conducted deep audits to ensure linguistic precision and documented unanswerable cases with clear, technical justification. Exceeded efficiency benchmarks while maintaining quality and leading team-based quality assurance processes. • Led QA for image question answering tasks ensuring gold standard data. • Performed detailed dataset audits for grammar, logic, and cultural relevance. • Authored rationale for edge-case or ambiguous prompts. • Streamlined throughput without loss of accuracy.

2024 - Present

Multimodal VQA & Linguistic Quality Assurance Lead

ImageQuestion Answering

Led QA for high-priority Multimodal Image-to-Text projects. Responsible for verifying the logical alignment between visual stimuli and model-generated responses. Conducted deep-dive linguistic audits to ensure C2-level English fluency, grammar, and natural phrasing. Expertly handled edge cases involving image occlusion, blur, and low-context prompts.

Led QA for high-priority Multimodal Image-to-Text projects. Responsible for verifying the logical alignment between visual stimuli and model-generated responses. Conducted deep-dive linguistic audits to ensure C2-level English fluency, grammar, and natural phrasing. Expertly handled edge cases involving image occlusion, blur, and low-context prompts.

2018 - 2024

Video Annotation Specialist (Autonomous Systems)

CVATVideoTracking

I served as a Video Annotation Specialist focusing on Multi-Object Tracking for autonomous vehicle datasets. My responsibilities included managing object identities across thousands of frames and utilizing advanced tools for precise bounding box annotation during dynamic scenes. Worked closely with engineers to develop more robust labeling taxonomies to enhance detection model accuracy. • Executed multi-object tracking across long video sequences. • Employed interpolation tools for precise dynamic labeling. • Improved label taxonomies in collaboration with ML engineers. • Contributed to reductions in model bias for safety-critical detection.

I served as a Video Annotation Specialist focusing on Multi-Object Tracking for autonomous vehicle datasets. My responsibilities included managing object identities across thousands of frames and utilizing advanced tools for precise bounding box annotation during dynamic scenes. Worked closely with engineers to develop more robust labeling taxonomies to enhance detection model accuracy. • Executed multi-object tracking across long video sequences. • Employed interpolation tools for precise dynamic labeling. • Improved label taxonomies in collaboration with ML engineers. • Contributed to reductions in model bias for safety-critical detection.

2022 - 2023

Content Evaluator & Data Labeler

Scale AITextRLHF

As a Content Evaluator and Data Labeler, I rated AI-generated text for RLHF projects, focusing on safety, quality, and content truthfulness. Performed detailed OCR extraction for document AI training, ensuring accuracy from poor-quality images. Consistently flagged unsafe or biased content and provided clear rationales for evaluation scores. • Evaluated AI-generated outputs according to RLHF and ranking guidelines. • Extracted text using OCR from low-resolution and handwritten documents. • Ensured dataset compliance with content safety rules. • Provided in-depth justifications with each data point submission.

As a Content Evaluator and Data Labeler, I rated AI-generated text for RLHF projects, focusing on safety, quality, and content truthfulness. Performed detailed OCR extraction for document AI training, ensuring accuracy from poor-quality images. Consistently flagged unsafe or biased content and provided clear rationales for evaluation scores. • Evaluated AI-generated outputs according to RLHF and ranking guidelines. • Extracted text using OCR from low-resolution and handwritten documents. • Ensured dataset compliance with content safety rules. • Provided in-depth justifications with each data point submission.

2020 - 2022

Education

Work History