John Gachucha

Key Skills

Software

Remotasks

Other

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Top Label Types

Bounding Box

Classification

Tracking

Freelancer Overview

I am a detail-oriented data analyst and researcher with hands-on experience processing, cleaning, and managing large datasets in domains such as healthcare, finance, and economics. My background includes automating data workflows, ensuring data quality, and preparing high-volume procurement and financial data for analysis, which has strengthened my skills in data entry accuracy, quality control, and documentation—core components of data labeling and annotation work. I am proficient in Excel, Python (Pandas, NumPy, Scikit-Learn), Power BI, SPSS, and Stata, and have built machine learning models for tasks like fraud detection and regression analysis. I thrive in collaborative environments, consistently deliver accurate results under tight deadlines, and am passionate about supporting AI training data projects that require precision, clarity, and a strong understanding of both technical and domain-specific requirements.

Labeling Experience

AI Data Annotator – Outlier

OtherImageClassification

As an AI Data Annotator with Outlier, I completed structured annotation tasks for AI model development. My job included image categorization, attribute tagging, and structured dataset reviews while ensuring compliance with privacy policies. Through feedback and adaptation, I contributed to high dataset quality across multiple projects. • Carried out image categorization and attribute annotation for structured datasets • Complied with data privacy and confidentiality standards • Collaborated with reviewers and project managers through indirect feedback • Adapted quickly to changing labeling guidelines and task specifications

As an AI Data Annotator with Outlier, I completed structured annotation tasks for AI model development. My job included image categorization, attribute tagging, and structured dataset reviews while ensuring compliance with privacy policies. Through feedback and adaptation, I contributed to high dataset quality across multiple projects. • Carried out image categorization and attribute annotation for structured datasets • Complied with data privacy and confidentiality standards • Collaborated with reviewers and project managers through indirect feedback • Adapted quickly to changing labeling guidelines and task specifications

2023 - 2023

Video Annotation Specialist – Atlas Capture

OtherVideoClassificationTracking

As a Video Annotation Specialist for Atlas Capture, I focused on labeling and reviewing video datasets for AI training. My primary responsibility was applying accurate object detection, motion tracking, and event tagging across video frames. I upheld stringent annotation schemas and performed comprehensive data validation. • Ensured high accuracy through precise temporal annotation and QA validation • Identified and flagged mislabels, edge cases, and inconsistencies prior to submission • Contributed to production-quality datasets for dynamic environments • Managed long-duration labeling assignments maintaining attention to detail

As a Video Annotation Specialist for Atlas Capture, I focused on labeling and reviewing video datasets for AI training. My primary responsibility was applying accurate object detection, motion tracking, and event tagging across video frames. I upheld stringent annotation schemas and performed comprehensive data validation. • Ensured high accuracy through precise temporal annotation and QA validation • Identified and flagged mislabels, edge cases, and inconsistencies prior to submission • Contributed to production-quality datasets for dynamic environments • Managed long-duration labeling assignments maintaining attention to detail

2023 - 2023

Data Labeler – Remotasks

RemotasksImageBounding Box

As a Data Labeler for Remotasks, I carried out high-volume annotation of image datasets for computer vision AI models. I applied bounding boxes, classification tags, and attributes in line with detailed guidelines to enable accurate model training. My workflow included strict adherence to project taxonomies and participation in quality assurance cycles. • Maintained high labeling accuracy and resolved ambiguous cases as per escalation protocols • Consistently met daily and weekly throughput targets • Corrected rejected tasks and integrated reviewer feedback for higher acceptance • Leveraged Remotasks annotation platform and QA feedback loops

As a Data Labeler for Remotasks, I carried out high-volume annotation of image datasets for computer vision AI models. I applied bounding boxes, classification tags, and attributes in line with detailed guidelines to enable accurate model training. My workflow included strict adherence to project taxonomies and participation in quality assurance cycles. • Maintained high labeling accuracy and resolved ambiguous cases as per escalation protocols • Consistently met daily and weekly throughput targets • Corrected rejected tasks and integrated reviewer feedback for higher acceptance • Leveraged Remotasks annotation platform and QA feedback loops

2022 - 2022

Education

Work History