For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
T

Toheeb Adeyemi

Video Annotation Specialist – Robotics AI Training

Nigeria flagN/A, Nigeria
$30.00/hrEntry LevelAppenClickworkerData Annotation Tech

Key Skills

Software

AppenAppen
ClickworkerClickworker
Data Annotation TechData Annotation Tech
Micro1
MercorMercor

Top Subject Matter

Robotics AI (kitchen, cooking, petrol station actions)

Top Data Types

VideoVideo
ImageImage
TextText

Top Task Types

Action RecognitionAction Recognition
Data CollectionData Collection
RLHFRLHF

Freelancer Overview

Video Annotation Specialist – Robotics AI Training. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Atlas Platform. Education includes Bachelor of Technology, Federal University of Technology, Akure (2024). AI-training focus includes data types such as Video and labeling workflows including Action Recognition.

Entry LevelEnglish

Labeling Experience

Video Annotation Specialist – Robotics AI Training

VideoAction Recognition
As a Video Annotation Specialist, I edited and refined model-generated video annotations for robotics AI development. My work focused on precise timestamp correction, left/right hand identification, and action labeling across diverse video contexts. I collaborated with my team to ensure annotation standards and consistency were met in every project. • Processed 500+ model-generated video annotations weekly with high precision • Maintained 99%+ accuracy while meeting daily throughput targets of 5+ hours • Applied domain-specific labeling conventions for multi-step actions in kitchen and petrol station scenarios • Provided actionable feedback to improve annotation guidelines and process efficiency

As a Video Annotation Specialist, I edited and refined model-generated video annotations for robotics AI development. My work focused on precise timestamp correction, left/right hand identification, and action labeling across diverse video contexts. I collaborated with my team to ensure annotation standards and consistency were met in every project. • Processed 500+ model-generated video annotations weekly with high precision • Maintained 99%+ accuracy while meeting daily throughput targets of 5+ hours • Applied domain-specific labeling conventions for multi-step actions in kitchen and petrol station scenarios • Provided actionable feedback to improve annotation guidelines and process efficiency

2026 - Present

Education

F

Federal University of Technology, Akure

Bachelor of Technology, Applied Geophysics

Bachelor of Technology
2018 - 2024

Work History

S

Self-Initiated

Data Analyst – Independent Project

N/A
2026 - 2026
U

University Of Ibadan

Graduate Assistant – Data & Laboratory Analyst

Ibadan
2025 - 2025