Tobias Odhiambo

Key Skills

Software

Scale AI

Appen

Remotasks

Top Subject Matter

Autonomous Vehicles

Computer Vision

Adas Domain Expertise

Top Data Types

Image

3D Sensor

Top Task Types

Bounding Box

Cuboid

Classification

Freelancer Overview

Freelance Data Annotator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Appen, and Remotasks. Education includes Bachelor of Science, Jomo Kenyatta University of Agriculture and Technology (2023). AI-training focus includes data types such as Image and 3D Sensor and labeling workflows including Bounding Box, Cuboid, and Classification.

Labeling Experience

Data Labeling Specialist

Appen3D SensorCuboid

While working remotely for Appen, I completed advanced LiDAR and 3D cuboid annotation for self-driving datasets. My contributions included detailed labeling of pedestrians, vehicles, and cyclists across multi-frame sequences and handling object occlusion. I performed peer reviews that reduced error rates by 15% while contributing to overall label quality. • Performed LiDAR and 3D bounding box annotation for self-driving car datasets. • Participated in annotation sprints focused on complex edge cases and occlusions. • Provided peer reviews and quality assurance for other annotators' work. • Supported ADAS development with segmentation for lane detection and traffic sign recognition.

While working remotely for Appen, I completed advanced LiDAR and 3D cuboid annotation for self-driving datasets. My contributions included detailed labeling of pedestrians, vehicles, and cyclists across multi-frame sequences and handling object occlusion. I performed peer reviews that reduced error rates by 15% while contributing to overall label quality. • Performed LiDAR and 3D bounding box annotation for self-driving car datasets. • Participated in annotation sprints focused on complex edge cases and occlusions. • Provided peer reviews and quality assurance for other annotators' work. • Supported ADAS development with segmentation for lane detection and traffic sign recognition.

2024 - Present

Freelance Data Annotator

Scale AIImageBounding Box

As a freelance data annotator for Scale AI, I specialized in large-scale image and video dataset annotation for autonomous vehicle perception models. My work covered bounding boxes, polygons, and semantic segmentation masks with a consistent accuracy above 97%. I collaborated with quality assurance teams to resolve edge cases and enhance annotation guidelines. • Executed bounding box, polygon, and segmentation mask annotation on traffic-related images and videos. • Maintained high precision and consistency in labeling tasks across multiple projects. • Assisted in refining annotation guidelines through collaboration with QA teams. • Delivered detailed annotations under tight deadlines, supporting model training efforts.

As a freelance data annotator for Scale AI, I specialized in large-scale image and video dataset annotation for autonomous vehicle perception models. My work covered bounding boxes, polygons, and semantic segmentation masks with a consistent accuracy above 97%. I collaborated with quality assurance teams to resolve edge cases and enhance annotation guidelines. • Executed bounding box, polygon, and segmentation mask annotation on traffic-related images and videos. • Maintained high precision and consistency in labeling tasks across multiple projects. • Assisted in refining annotation guidelines through collaboration with QA teams. • Delivered detailed annotations under tight deadlines, supporting model training efforts.

2024 - Present

AI Training Data Contributor

RemotasksImageClassification

As an AI Training Data Contributor for Remotasks (Outlier AI), I annotated various image datasets for computer vision and AI mapping applications. I created classification labels, performed object detection, and worked on geospatial imagery for land-use mapping. My contributions led to high precision scores and recognition as a top contributor. • Executed image classification, object detection, and keypoint annotation projects. • Labeled satellite and geospatial images for land-use mapping and classification. • Completed video annotation for temporal object tracking and event tagging. • Managed and reviewed annotations for consistency and high-quality outcomes.

As an AI Training Data Contributor for Remotasks (Outlier AI), I annotated various image datasets for computer vision and AI mapping applications. I created classification labels, performed object detection, and worked on geospatial imagery for land-use mapping. My contributions led to high precision scores and recognition as a top contributor. • Executed image classification, object detection, and keypoint annotation projects. • Labeled satellite and geospatial images for land-use mapping and classification. • Completed video annotation for temporal object tracking and event tagging. • Managed and reviewed annotations for consistency and high-quality outcomes.

2024 - 2024

Education

Work History