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Fehintoluwa Makanjuola

Fehintoluwa Makanjuola

Geospatial Surveying Assistant (AI Data Annotation and QA)

United Kingdom flagSheffield, United Kingdom
$17.00/hrExpertRemotasksMercorMicro1

Key Skills

Software

RemotasksRemotasks
MercorMercor
Micro1

Top Subject Matter

Geospatial and Mapping
Urban Development and Infrastructure
Academic Writing and Technical Research

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

Classification
Prompt Response Writing SFT
Evaluation Rating
Transcription
Fine Tuning
Text Summarization
Question Answering
Text Generation

Freelancer Overview

I have a strong background in data handling and quality assurance that aligns well with AI training and data labeling roles. With an MSc in Geographic Information Systems from Sheffield Hallam University and practical experience at Sheffield City Council, I have worked with large and complex datasets where accuracy and consistency are critical. I regularly cleaned, validated, and reviewed data to identify errors such as incorrect coordinates, missing attributes, and inconsistencies. This required strict attention to detail and following defined standards, which directly reflects the core requirements of data labeling and annotation tasks. I am particularly strong in applying guidelines, making consistent decisions, and documenting my reasoning clearly. In my projects, I interpreted complex datasets, applied classification rules, and ensured outputs met specific criteria. This is similar to evaluating and labeling training data for AI systems. I am comfortable working on repetitive tasks while maintaining high accuracy, and I can handle ambiguous cases by applying structured logic. My combination of technical skills, consistency, and attention to detail makes me well suited for AI training and data labeling roles.

ExpertEnglish

Labeling Experience

MSc Student – Academic AI Output Evaluation and Annotation

Text
During my MSc, I performed academic research evaluation, technical communication assessment, and AI-generated long-form text evaluation for coherence, structure, and factual grounding. I applied structured methodologies to review and rate the correctness of technical documents and AI-generated research output. My training included evaluating statistical, spatial, and policy-driven model content for accuracy and reasoned analysis. • Developed strong skills in academic writing and technical communication. • Applied research methods to evaluate AI outputs in quantitative contexts. • Used domain expertise in GIS, statistics, and policy for detailed annotation. • Supported long-form output evaluation as part of MSc curriculum.

During my MSc, I performed academic research evaluation, technical communication assessment, and AI-generated long-form text evaluation for coherence, structure, and factual grounding. I applied structured methodologies to review and rate the correctness of technical documents and AI-generated research output. My training included evaluating statistical, spatial, and policy-driven model content for accuracy and reasoned analysis. • Developed strong skills in academic writing and technical communication. • Applied research methods to evaluate AI outputs in quantitative contexts. • Used domain expertise in GIS, statistics, and policy for detailed annotation. • Supported long-form output evaluation as part of MSc curriculum.

2026 - 2026

Geospatial Surveying Assistant (AI Data Annotation and QA)

Classification
I conducted structured quality review and annotation of over 15,000 geospatial records for urban and resource forecasting purposes. My work involved data validation, error detection, and consistent documentation to ensure accurate downstream use. I also applied analytical judgement and QA logic to support the AI training process in geospatial domains. • Identified and escalated 200+ data issues before they affected outputs. • Automated data transformation processes using Python and ArcPy. • Achieved zero errors on all final deliverables through diligent review. • Supported quantitative evaluation of AI-generated content for statistical accuracy.

I conducted structured quality review and annotation of over 15,000 geospatial records for urban and resource forecasting purposes. My work involved data validation, error detection, and consistent documentation to ensure accurate downstream use. I also applied analytical judgement and QA logic to support the AI training process in geospatial domains. • Identified and escalated 200+ data issues before they affected outputs. • Automated data transformation processes using Python and ArcPy. • Achieved zero errors on all final deliverables through diligent review. • Supported quantitative evaluation of AI-generated content for statistical accuracy.

2023 - 2024

Geospatial Analyst Intern (Data Review and Annotation)

Classification
I was responsible for producing, reviewing, and annotating data outputs for urban development and infrastructure projects. Rigorous QA/QC procedures were applied throughout to maintain client-facing accuracy and data integrity. I cross-referenced and maintained datasets to support ongoing annotation and structured documentation. • Ensured 100% accuracy rate on all client deliverables. • Integrated data from multiple sources to identify inconsistencies. • Maintained accurate records directly transferable to annotation contexts. • Communicated complex analytic results to diverse audiences.

I was responsible for producing, reviewing, and annotating data outputs for urban development and infrastructure projects. Rigorous QA/QC procedures were applied throughout to maintain client-facing accuracy and data integrity. I cross-referenced and maintained datasets to support ongoing annotation and structured documentation. • Ensured 100% accuracy rate on all client deliverables. • Integrated data from multiple sources to identify inconsistencies. • Maintained accurate records directly transferable to annotation contexts. • Communicated complex analytic results to diverse audiences.

2021 - 2022

Education

S

Sheffield Hallam University

Master of Science, Geographic Information Systems

Master of Science
2025 - 2026
F

Federal University of Technology, Akure

Bachelor of Technology, Surveying and Geoinformatics

Bachelor of Technology
2018 - 2023

Work History

S

Sheffield City Council

Assistant Spatial Data Analyst

Sheffield
2025 - 2025
M

Ministry of Land and Survey

Geospatial Surveying Assistant

Minna
2023 - 2024