Anthony O.

Key Skills

Software

No software listed

Top Subject Matter

Computer Vision and Autonomous Driving Datasets (LiDAR, images, video, tracking)

Computer Vision

Lidar Domain Expertise

Top Data Types

3D Sensor

Image

Text

Document

Video

Top Task Types

Cuboid

Segmentation

RLHF

Bounding Box

Polygon

Tracking

Entity (NER) Classification

Point/Key Point

Freelancer Overview

Team Lead, Client Solutions and Development in Contract Review, Compliance, and Legal Research. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Commerce, Kenyatta University (2016) and Certified Public Accountant (CPA), Certified Public Accountant (CPA). AI-training focus includes data types such as 3D Sensor, Video, and Text and labeling workflows including Point, Key Point, and Segmentation.

Labeling Experience

AI Data Operations Team Lead (2024 – Present)

3D SensorCuboidPoint/Key Point

Led AI data annotation teams delivering production-grade datasets for machine learning and computer vision initiatives. Performed comprehensive QA/QC reviews to ensure annotation accuracy, consistency, and compliance with client guidelines. Reviewed complex annotations across LiDAR point clouds, image labeling, video annotation, and object tracking. • Collaborated with clients to clarify requirements and improve labeling guidelines. • Monitored quality metrics, productivity, and delivery performance against SLAs. • Conducted root cause analysis and implemented corrective actions for quality issues. • Mentored reviewers and quality analysts to improve team performance.

2024 - Present

Team Lead, Service Delivery - SAMA

ImageBounding BoxPolygon

As Team Lead for Service Delivery at SAMA, he drove team performance against staff and client targets and reported results to relevant stakeholders. He collaborated with management to enhance processes, skills, and client services while providing people management, mentorship, and career development to reduce attrition. He handled day-to-day operations to meet SLAs, ensured prompt issue resolution, and managed transition during setup and expansion phases. • Managed day-to-day operations and service delivery within SLAs • Empowered teams through performance targets, mentorship, and feedback • Supported HR on attendance, conduct, and underperformance issues • Prepared daily performance activity reports and shift planning

2021 - 2024

AI Data Annotation Team Lead (2021 – 2024)

3D SensorSegmentation

Managed large annotation teams supporting AI and machine learning data production across multiple client projects. Supervised annotation quality for computer vision and LiDAR/image/video datasets. Conducted secondary reviews and quality checks before dataset delivery to ensure readiness for model training. • Led reviewer calibration sessions for consistent annotation across teams. • Trained annotators on evolving client guidelines and project-specific requirements. • Investigated annotation discrepancies and implemented preventive quality measures. • Coordinated production planning, workload allocation, and deadline management while maintaining accuracy and quality KPIs.

2021 - 2024

AI Data Annotation Trainer (2020 – 2021)

Video

Designed and delivered onboarding programs for AI data annotators to prepare them for production annotation work. Trained annotators on image annotation, video labeling, LiDAR workflows, quality standards, and client guidelines. Evaluated trainee performance using annotation accuracy metrics and provided coaching to improve outcomes. • Collaborated with project managers, quality teams, and reviewers to update training materials. • Created documentation supporting evolving annotation standards and best practices. • Certified new annotators prior to production deployment. • Supported continuous improvement to increase both annotation quality and productivity.

2020 - 2021

AI Data Annotation Specialist (2018 – 2020)

TextRLHF

Produced high-quality annotations for machine learning datasets according to detailed client specifications. Annotated LiDAR point clouds for autonomous driving applications and performed 2D image annotation using bounding boxes, polygons, semantic segmentation, instance segmentation, and keypoint labeling. Completed video annotation with frame-by-frame refinement and multi-object tracking, and supported generative AI data annotation including prompt evaluation and RLHF-related quality assessment. • Conducted quality reviews to verify annotation accuracy before submission. • Performed research, data validation, and dataset verification to improve model training quality. • Collected and prepared image and video datasets, including multilingual transcription and translation for speech/language datasets. • Assisted data cleaning, duplicate removal, metadata verification, and dataset preparation to ensure production targets were met.

2018 - 2020

Education

Work History