Esther A.

Key Skills

Software

Don't disclose

CVAT

Labelbox

Roboflow

Top Subject Matter

Biochemistry and retrieval-augmented generation (RAG) dataset preparation

On-chain data indexing and autonomous agent training support

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Fine-tuning

Text Generation

Text Summarization

Transcription

Data Collection

Function Calling

Freelancer Overview

AI Training & Data Structuring Specialist (Freelance) — Biochemistry RAG system development, dataset validation, and qua. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and SQL. Education includes Bachelor of Science, Kaduna State University. AI-training focus includes data types such as Text and labeling workflows including Fine-tuning, Evaluation, and Rating.

Labeling Experience

Data Analyst & Systems Designer (Self-Employed) — Autonomous agent training support and structured data preparation

Text

Assisted in the training refinement process for an autonomous trading agent by defining logic-based input parameters and feedback loops. Translated strategy requirements into structured, machine-interpretable inputs for iterative improvement. Maintained data schemas and documentation so datasets used for training remained well-labeled and audit-ready. • Defined input parameters and feedback loops for strategy refinement in an autonomous agent training workflow. • Maintained and organized technical documentation and data schemas for labeling consistency. • Ensured project data was searchable and audit-ready through structured data management. • Supported transformation of raw logs into structured representations for downstream training use.

Not specified

AI Training & Data Structuring Specialist (Freelance) — Biochemistry RAG system development, dataset validation, and quality control

Don't discloseTextFine-tuning

Provided data cleaning, chunking, and validation to prepare high-quality datasets for retrieval-augmented generation (RAG) ingestion. Ensured semantic integrity, consistency, and accuracy so labeled/structured outputs could improve retrieval and model performance. Developed annotation protocols and quality control checks to resolve dataset discrepancies and enforce project-specific guidelines. • Cleaned and chunked academic biochemistry textbooks for RAG-ready dataset structure. • Conducted data validation and correction of inconsistencies to optimize training inputs. • Created standardized data entry and classification protocols for consistent outputs. • Performed rigorous data quality assessments (DQA) to ensure compliance with labeling guidelines.

Not specified

Education

Work History