Sujit Maharjan

Key Skills

Software

CloudFactory

Dataloop

Labelbox

Other

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Document

Image

Video

Top Label Types

Bounding Box

Polygon

Point Key Point

Polyline

Segmentation

Freelancer Overview

I have hands-on experience as a Data Specialist at Cloudfactory, where I was involved in data management, annotation, and quality assurance for large-scale projects. My background in business studies and accounting has given me strong analytical skills and attention to detail, which I apply to data labeling and training data tasks. I am highly proficient in MS Office and Excel, and I am comfortable working with diverse datasets to support AI and machine learning initiatives. My experience spans finance, entrepreneurship, and sales, allowing me to adapt quickly to new domains and contribute effectively to data-driven teams. I am passionate about ensuring high-quality, reliable data for AI systems and am eager to bring my multidisciplinary experience to new data labeling opportunities.

Labeling Experience

Data specialist / professional image annotator

DataloopImageBounding BoxPolygon

Worked as a full-time Data Specialist and Team Captain on multiple computer vision datasets involving vehicles, satellite imagery, and people for advanced AI applications such as self-driving systems, defect detection, and face recognition. Handled end-to-end annotation tasks including bounding boxes, polygons, segmentation masks, keypoints, OCR labeling, and image classification using industry-standard platforms like Labelbox, Dataloop, Segments.ai, and similar tools. Led a team of annotators by managing task distribution, maintaining labeling consistency, and ensuring perfect accuracy and high-quality outputs through strict QA checks, guideline enforcement, and continuous feedback.

Worked as a full-time Data Specialist and Team Captain on multiple computer vision datasets involving vehicles, satellite imagery, and people for advanced AI applications such as self-driving systems, defect detection, and face recognition. Handled end-to-end annotation tasks including bounding boxes, polygons, segmentation masks, keypoints, OCR labeling, and image classification using industry-standard platforms like Labelbox, Dataloop, Segments.ai, and similar tools. Led a team of annotators by managing task distribution, maintaining labeling consistency, and ensuring perfect accuracy and high-quality outputs through strict QA checks, guideline enforcement, and continuous feedback.

2019 - 2025

Education

Work History