Charles M.

Key Skills

Software

Prodigy

SuperAnnotate

Supervisely

Surge AI

Toloka

Telus

VoTT

V7 Labs

Top Subject Matter

Legal contracts

Patents Domain Expertise

financial records

Top Data Types

Video

Image

Geospatial Tiled Imagery

Document

Text

Top Task Types

Polygon

Segmentation

Entity (NER) Classification

Point/Key Point

Polyline

Cuboid

Object Detection

Text Generation

Question Answering

Text Summarization

RLHF

Fine-tuning

Red Teaming

Data Collection

Computer Programming/Coding

Function Calling

Freelancer Overview

Independent Document Review & Data Annotation Specialist (AI output review, JSON schema validation, RLHF-style dataset w. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Karatina University (2026). AI-training focus includes data types such as Document and labeling workflows including RLHF and Entity (NER) Classification.

Labeling Experience

Independent Document Review & Data Annotation Specialist (AI output review, JSON schema validation, RLHF-style dataset work)

DocumentRLHF

Performed structured information extraction and annotation from complex PDF/DOCX documents, mapping fields to defined JSON schemas with high accuracy. Reviewed AI-generated draft outputs, selecting baselines and validating required/optional fields, data types, arrays, objects, and nested structures against the source documents. Corrected omissions and inconsistencies in annotations while enforcing schema rules for missing fields using null values. • Extracted repeated and dynamic entries such as multi-line clauses and itemized financial lines • Wrote original natural-language summaries and descriptive metadata where schemas required text generation • Ensured null-field integrity and contextual logic preservation for downstream systems • Managed remote, EST-aligned labeling pipelines delivering consistent weekly production hours

2023 - Present

data experience

TextText Summarization

Writing and reviewing API documentation Working with JSON/XML text data in backend projects Code reviews involving written technical content Any content moderation, annotation, or data entry work Writing README files, reports, or technical specs

2026 - 2026

AI Training/Data Labeling

VideoSegmentation

I have worked extensively with structured and unstructured text data across various digital platforms and applications. My development work has involved handling, processing, and validating large volumes of text-based data including API responses, JSON/XML datasets, technical documentation, and multilingual content. I am highly detail-oriented, comfortable following precise technical guidelines, and experienced in maintaining data accuracy and integrity — skills directly transferable to data collection and labeling tasks. My experience spans multiple digital asset types including messaging systems, email integrations, cloud storage, and media platforms, giving me strong familiarity with the kinds of content this project requires. I understand the importance of privacy, data redaction, and ethical handling of sensitive information, having worked within professional environments that enforce strict data security standards. I am a self-motivated contributor capable of meeting milestone deadlines and quality checkpoints with minimal oversight, and I am confident in my ability to deliver accurate, non-synthetic content that meets your dataset requirements.

2024 - 2025

Data Quality & Compliance Analyst (document data extraction and field auditing)

DocumentEntity (NER) Classification

Processed high-volume sets of legal and compliance documents by extracting critical data points from PDF/DOCX sources into structured digital formats. Audited extracted fields against the original documents to validate accuracy of key entities and compliance-related attributes prior to database ingestion. Built and used internal quality checklists to ensure extracted nested structures and cross-references remained logically consistent. • Transcribed and normalized contract, KYC, and regulatory filing data into structured representations • Validated clause references and compliance flags for correctness • Drafted concise executive summaries of lengthy documents for stakeholder review • Supported SLA-focused quality assurance through coordination with remote operations teams

2021 - 2022

Education

Work History