Ai data annotator
Annotating components of power utilities.
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I am a data-driven professional with a strong background in geospatial analysis, software engineering, and data analytics, with growing expertise in AI training data and data labeling. My experience spans working with complex datasets—ranging from satellite imagery to tabular and textual data—where precision, consistency, and domain understanding are crucial for model accuracy. I have contributed to data curation and annotation projects that support computer vision, NLP, and location intelligence models, ensuring data quality through rigorous validation, version control, and process optimization. What sets me apart is my blend of technical and analytical expertise—combining programming skills in Python, GIS proficiency, and a deep understanding of AI data workflows. I leverage tools like Label Studio, QGIS, and custom automation scripts to streamline labeling pipelines and enhance data usability. With a strong foundation in data ethics, integrity, and reproducibility, I’m committed to producing high-quality datasets that power reliable and responsible AI systems.
Annotating components of power utilities.
Transcribing already recorded requests to alexa and recordding instructions for alexa.
Checking all possible bug sections of pyhton codebase
Listen to audio and convert to text.
Annotating different perspective of the vehicles and adjascent features.
Certification, Software Engineering
Bachelor of Engineering, Geospatial Engineering
Engineering Survey Assistant
Geospatial Data Analyst