Funmilola O.

Key Skills

Software

SuperAnnotate

CVAT

Label Studio

Micro1

Mindrift

Remotasks

Top Subject Matter

Video dataset quality control and behavioral fraud/low-effort detection

AI model training data annotation and annotation QA

Computer vision video annotation (detection, actions, scenes)

Top Data Types

Video

Image

Text

Document

Top Task Types

Object Detection

Data Collection

Segmentation

Freelancer Overview

Video Quality Assurance Specialist. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and N. Education includes a Bachelor of Laws, Ekiti State University (2024), and a Data Annotator / AI Trainer Certification, Micro1 (2026). AI-training focus includes data types such as Video and labeling workflows, including Evaluation, Rating, and Object Detection.

Labeling Experience

Video Quality Assurance Specialist — Turing (2025–2026)

Video

Performed comprehensive video quality assurance audits to ensure annotations and reviews followed project SOPs and standards. Detected fraud signals, low-effort behavior, and task-adherence issues by analyzing domestic task recordings. Escalated findings with clear, concise written feedback to improve internal reporting and cross-team alignment. • Conducted strict adherence checks using a proprietary review interface • Logged and documented behavioral patterns and borderline/ambiguous cases • Provided escalation notes to optimize collaboration • Maintained long-form attention to detail and pattern recognition for data integrity

2025 - 2026

Freelance Online Task Reviewer — Mindrift (2024–2026)

CVATVideoData Collection

Reviewed and completed repetitive online data valuation tasks with strict attention to detail and quality metrics. Labeled and annotated large volumes of multimodal datasets including images, video, audio, and text for machine learning training. Used annotation infrastructure (CVAT and Label Studio) to ensure alignment with standards and data fidelity. • Annotated multimodal training data for ML • Applied quality metrics during repetitive review cycles • Used CVAT and Label Studio to maintain annotation standards • Ensured data fidelity and conformity to task requirements

2024 - 2026

Video Specialist — SuperAnnotate (2025)

SuperAnnotateVideoObject Detection

Annotated large-scale video datasets for computer vision tasks including object detection, action recognition, and scene classification. Labeled video frames with bounding boxes, segmentation, keypoints, and advanced object tracking techniques. Performed rigorous QA to identify, log, and resolve labeling errors and visual inconsistencies. • Ensured frame-by-frame consistency and temporal accuracy • Applied bounding boxes, segmentation masks, and keypoint annotations • Used object tracking techniques across complex long sequences • Logged and corrected labeling errors and inconsistencies

2025 - 2025

AI Data Annotator — Turing (2024–2025)

Video

Trained and evaluated AI models by supplying high-quality annotated video and image data. Reviewed and validated contributor annotations to ensure compliance with project labeling standards. Performed error analysis and delivered analytical feedback to improve model learning outcomes. • Supplied annotated multimodal inputs (video and images) • Performed annotation validation and compliance checks • Conducted comprehensive error analysis • Produced feedback to improve model learning outcomes

2024 - 2025

Education

Work History