Christopher W.

Key Skills

Software

OneForma

Other

Labelbox

Top Subject Matter

Legal Services & Contract Review

Financial Domain Expertise

technical document understanding (document intelligence)

Top Data Types

Image

Text

Video

Document

Top Task Types

Segmentation

Tracking

Entity (NER) Classification

Classification

Freelancer Overview

Senior AI Data Annotation & Extraction Specialist (Remote freelance & platform projects). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox and Other. Education includes Bachelor of Commerce, Kenyatta University. AI-training focus includes data types such as Document and labeling workflows including Entity (NER) Classification and Classification.

Labeling Experience

Freelance Text Annotation & AI Training (NLP)

OtherText

Freelance AI training and annotation support for text-based NLP tasks using classification and entity recognition guidelines. Labeled and validated text samples to support downstream model training with consistent label formatting. Maintained accuracy and completeness through repeated checks and adherence to project criteria. • Labeled 8,000+ text samples for NLP model training and evaluation. • Performed text classification and named entity recognition (NER) style annotations. • Conducted quality control to detect errors and ensure label consistency. • Adapted to changing task instructions across different client datasets.

2023 - Present

Freelance Data Annotation & AI Training Specialist

OneFormaImageSegmentation

Remote freelance specialist annotating and labeling computer vision and NLP datasets for AI clients. Produced high-accuracy labels across semantic segmentation, bounding boxes, and keypoints while maintaining strict guideline adherence. Conducted quality audits on peer work to improve dataset reliability. • Annotated 20,000+ images and 8,000+ text samples for CV and NLP models. • Labeled semantic segmentation, bounding boxes, and keypoint annotations on varied datasets. • Performed peer review, error detection, and corrections that improved quality by 15–20%. • Met 1,500–3,000 annotations per day under time pressure using micro-task workflows.

2023 - Present

Senior AI Data Annotation & Extraction Specialist (Remote freelance & platform projects)

LabelboxDocumentEntity (NER) Classification

Provided large-scale document data extraction and structured annotation to support LLM training, RLHF, and computer vision dataset creation across legal, financial, and technical domains. Delivered high-accuracy labels (reported 98.7%) by interpreting complex guidelines and correcting errors through quality audits and peer review. Adapted to new schemas, ontologies, and evolving project requirements while meeting weekly target throughput. • Extracted parties, clauses, monetary values, dates, obligations, line items, and compliance fields from 25,000+ complex documents. • Produced structured JSON/CSV outputs and validated label consistency for downstream model reliability. • Performed quality assurance through audits, corrections, and edge-case handling to reduce downstream model errors. • Annotated for entity recognition and clause identification, including precision-focused monetary and compliance labeling.

2022 - Present

Personal AI Data Annotation Portfolio (Practical Training)

OtherVideoTracking

Self-driven portfolio work practicing AI data labeling workflows across multiple modalities. Built labeled examples to strengthen consistency, edge-case handling, and throughput for common production annotation tasks. Used simulated guidelines to prepare for OneForma-style AI training activities. • Practiced video frame-by-frame annotation workflows. • Conducted basic audio labeling practice for additional training coverage. • Created labeled image and text datasets to support object detection and NLP tasks. • Emphasized consistency and speed to meet annotation quality expectations.

2022 - Present

Data Analyst & Document Processing Lead (Local organizations & freelance)

OtherDocumentClassification

Led end-to-end processing of administrative, financial, and legal-style documents with a focus on data validation, categorization, and accurate extraction outputs. Built extraction templates and validation checklists to improve efficiency while preserving high integrity of labeled/structured data. Supported reporting and decision-making by ensuring consistency and reducing processing errors. • Managed thousands of document processing workflows with 99%+ data integrity. • Designed extraction templates and validation checklists that reduced processing time by 35%. • Conducted detailed data validation and categorization to enforce consistent structured results. • Produced organized outputs for analytical reporting and operational decision support.

2020 - 2022

Education

Work History