Victory Akande

Key Skills

Software

Telus

Labelbox

Surge AI

Internal/Proprietary Tooling

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Video

Text

Audio

Top Task Types

Segmentation

RLHF

Red Teaming

Evaluation/Rating

Data Collection

Company Overview

Vankadel translates ecosystem intelligence into structured strategy — helping technology companies understand, evaluate, and improve how their systems behave in complex environments. In practice, this includes delivering high-precision data annotation and AI evaluation services across computer vision, NLP, and multi-modal systems. Our capabilities include 2D segmentation, video and action annotation, RLHF evaluation, and AI safety testing — supporting the development of reliable, high-performing AI models. We operate with strict quality assurance standards, consistently achieving 98.5–100% accuracy across complex datasets, including robotic action labelling, speech annotation, and factuality evaluation workflows. Beyond annotation, we design and manage end-to-end data pipelines — from data preparation and labelling to quality control and model evaluation. We don’t just annotate data — we build reliable training systems that AI models can trust.

Security

Labeling Experience

Robotic Arm Segmentation

LabelboxVideoRLHFEvaluation Rating

Performed high-precision 2D segmentation and subgoal annotation for robotic arm movements in physical AI training. Tasks included frame-level action clipping (pick, place, pour, handoff) and error labeling (failed grasps, collisions). Maintained strict spatial context standards and achieved ~99% accuracy across frame boundaries and attribute labeling, with full QA ownership.

Performed high-precision 2D segmentation and subgoal annotation for robotic arm movements in physical AI training. Tasks included frame-level action clipping (pick, place, pour, handoff) and error labeling (failed grasps, collisions). Maintained strict spatial context standards and achieved ~99% accuracy across frame boundaries and attribute labeling, with full QA ownership.

2024 - Present