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Alex Aswan

Alex Aswan

Field Data Processing & Land Use Mapping Specialist with Expertise in Data Annotation for machine learning

KENYA flag
Remote, Kenya
$55.00/hrExpertOtherAnno MageClickworker

Key Skills

Software

Other
Anno-MageAnno-Mage
ClickworkerClickworker
Data Annotation TechData Annotation Tech
MercorMercor
MindriftMindrift
Scale AIScale AI
CloudFactoryCloudFactory
iMeritiMerit
LabelboxLabelbox
Label StudioLabel Studio
Micro1
OneFormaOneForma
Snorkel AISnorkel AI
TelusTelus

Top Subject Matter

Geospatial Data and Audio data
Land Use and Image data
Agriculture Domain Expertise

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Land Cover Classification
Classification
Object Detection
Computer Programming Coding
Prompt Response Writing SFT
Data Collection
Text Summarization
Question Answering
Polyline
Point Key Point
Polygon
Bounding Box

Freelancer Overview

Field Data Processing & Land Use Mapping Specialist. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Doctor of Philosophy, Michigan Technological University (2019) and Master of Science, Michigan Technological University (2015). AI-training focus includes data types such as Geospatial, Tiled Imagery, and Image and labeling workflows including Land Cover Classification, Evaluation, and Rating.

ExpertSwahiliEnglish

Labeling Experience

Freelance Data Scientist & AI Trainer (Computer Vision & Generative AI)

OtherText
I actively evaluated and enhanced generative AI text outputs, identifying hallucinations, bias patterns, and reasoning inconsistencies in LLM responses. I designed and deployed quality assurance processes for model output reliability and reproducibility. I developed deterministic evaluation workflows to improve validation of AI-generated content. • LLM output review for hallucinations and inconsistencies • Quality assurance for generative AI text • Bias and reasoning pattern analysis • Deterministic workflow design and deployment

I actively evaluated and enhanced generative AI text outputs, identifying hallucinations, bias patterns, and reasoning inconsistencies in LLM responses. I designed and deployed quality assurance processes for model output reliability and reproducibility. I developed deterministic evaluation workflows to improve validation of AI-generated content. • LLM output review for hallucinations and inconsistencies • Quality assurance for generative AI text • Bias and reasoning pattern analysis • Deterministic workflow design and deployment

2021 - Present

Field Data Processing & Land Use Mapping Specialist

Land Cover Classification
I supported field data collection and preprocessing to assist AI-driven land use and land cover mapping for small-scale agricultural systems. I contributed to interpreting satellite imagery and validating workflows used in AI models for crop mapping. I was involved in cleaning and validating geospatial datasets utilized for training machine learning models for agricultural land classification. • Field data collection and preprocessing for AI-based mapping • Satellite imagery interpretation and validation • Geospatial data integration and alignment • Preparation of datasets for ML training and evaluation

I supported field data collection and preprocessing to assist AI-driven land use and land cover mapping for small-scale agricultural systems. I contributed to interpreting satellite imagery and validating workflows used in AI models for crop mapping. I was involved in cleaning and validating geospatial datasets utilized for training machine learning models for agricultural land classification. • Field data collection and preprocessing for AI-based mapping • Satellite imagery interpretation and validation • Geospatial data integration and alignment • Preparation of datasets for ML training and evaluation

2025 - 2025

Data Annotation & AI Evaluation Specialist

OtherImage
I contributed to large-scale dataset annotation and evaluated machine learning model outputs to support enterprise AI systems. I performed data labeling quality assessments, improving the reliability and accuracy of training data for AI models. I participated in identifying inconsistencies and biases in AI-generated outputs and contributed to human-in-the-loop AI training systems. • Annotation and quality control for AI data pipelines • Model evaluation and identification of output inconsistencies • Human-in-the-loop feedback on ML outputs • Reliability improvement of enterprise datasets

I contributed to large-scale dataset annotation and evaluated machine learning model outputs to support enterprise AI systems. I performed data labeling quality assessments, improving the reliability and accuracy of training data for AI models. I participated in identifying inconsistencies and biases in AI-generated outputs and contributed to human-in-the-loop AI training systems. • Annotation and quality control for AI data pipelines • Model evaluation and identification of output inconsistencies • Human-in-the-loop feedback on ML outputs • Reliability improvement of enterprise datasets

2022 - 2023

Education

M

Michigan Technological University

Doctor of Philosophy, Geospatial and Environmental Engineering

Doctor of Philosophy
2019 - 2019
M

Michigan Technological University

Master of Science, Geospatial Engineering and Data Science

Master of Science
2015 - 2015

Work History

S

Self-Employed

Freelance Data Scientist

Remote
2021 - Present
C

Crowdgen

Audio Collection Specialist – English Voice Dataset

Michigan
2025 - 2025