Mahesh Murmu

Key Skills

Software

LabelImg

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Computer Code Programming

Document

Geospatial Tiled Imagery

Image

Medical Dicom

Text

Video

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Classification

Computer Programming Coding

Data Collection

Emotion Recognition

Fine Tuning

Geocoding

Land Cover Classification

Mapping

Object Detection

Point Key Point

Polygon

Polyline

Segmentation

Transcription

Translation Localization

Freelancer Overview

I am an experienced data annotation and AI training data specialist with a proven track record in delivering high-quality labeled datasets for machine learning and computer vision projects. My expertise spans image, video, text, and sensor data annotation, with a strong focus on guideline compliance, quality assurance, and error detection. I have led teams in large-scale annotation projects, conducted consistency checks, and collaborated with ML engineers to refine annotation schemas and handle edge cases. Skilled in using a variety of annotation platforms, as well as tools like ArcGIS, QGIS, and Python, I am committed to maintaining data integrity and supporting the development of robust AI models. My background in GIS and remote sensing further strengthens my ability to work with complex spatial and sensor datasets, ensuring accuracy and readiness for advanced analysis.

Labeling Experience

Remote Sensing & GIS Specialist – Spatio Logic B.V.

LabelimgGeospatial Tiled ImageryClassification

As a Remote Sensing & GIS Specialist at Spatio Logic B.V., I was responsible for annotating and reviewing large-scale geospatial imagery datasets under strict technical guidelines. I ensured high data quality by identifying edge cases, anomalies, and inconsistencies in labels across all assigned projects. My work contributed directly to preparing datasets for analysis and modeling applications. • Annotated geospatial imagery datasets following standardized workflows. • Identified and flagged anomalies and edge cases for further review. • Applied technical guidelines to ensure labeling accuracy and consistency. • Maintained detailed notes and documentation throughout the project lifecycle.

As a Remote Sensing & GIS Specialist at Spatio Logic B.V., I was responsible for annotating and reviewing large-scale geospatial imagery datasets under strict technical guidelines. I ensured high data quality by identifying edge cases, anomalies, and inconsistencies in labels across all assigned projects. My work contributed directly to preparing datasets for analysis and modeling applications. • Annotated geospatial imagery datasets following standardized workflows. • Identified and flagged anomalies and edge cases for further review. • Applied technical guidelines to ensure labeling accuracy and consistency. • Maintained detailed notes and documentation throughout the project lifecycle.

2023 - 2024

Team Leader – Data Annotation & AI Training – iMerit Technology

ImeritImageClassification

As Team Leader for Data Annotation & AI Training at iMerit Technology, I managed and performed labeling tasks for various AI and machine learning projects. My primary duties included annotating images, videos, and multi-sensor perception data sets for training and evaluation purposes. Quality control and team guidance were central to ensuring consistent and accurate annotations. • Led annotation workflows for complex perception datasets. • Implemented quality checks and audits to maintain standards. • Trained and mentored junior annotators in workflow and best practices. • Resolved edge cases and maintained clear communication with ML teams.

As Team Leader for Data Annotation & AI Training at iMerit Technology, I managed and performed labeling tasks for various AI and machine learning projects. My primary duties included annotating images, videos, and multi-sensor perception data sets for training and evaluation purposes. Quality control and team guidance were central to ensuring consistent and accurate annotations. • Led annotation workflows for complex perception datasets. • Implemented quality checks and audits to maintain standards. • Trained and mentored junior annotators in workflow and best practices. • Resolved edge cases and maintained clear communication with ML teams.

2021 - 2022

Education

Work History