John O.

Key Skills

Software

Labelbox

CVAT

Prodigy

Scale AI

SuperAnnotate

Top Subject Matter

Scientific/technical data quality and AI-related evaluation workflows (laboratory and reporting documentation)

Laboratory analysis

scientific/technical data QA

Top Data Types

Text

Document

Image

Top Task Types

Bounding Box

Classification

Segmentation

Point/Key Point

Question Answering

Text Summarization

Text Generation

Transcription

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Fine-tuning

Object Detection

Freelancer Overview

Chemical Scientist / Technical Operations Specialist, Aptech System Plc (AI-related evaluation workflows and documentati. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Microsoft 365. Education includes Bachelor of Science, N/A (2014) and Diploma, N/A (2020). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Chemical Scientist | AI Data Quality & Technical Operations Specialist (data workflows, artifact evaluation, documentation)

Text

Applies analytical and quality assurance practices to maintain high standards for laboratory and technical data used in AI/data workflows. Prepares accurate technical reports and documentation to support data review, validation, and workflow optimization. Performs evaluation of scientific and technical data to improve reliability of outputs and related processing steps. • Quality assurance for technical/lab data • Documentation and reporting supporting data workflows • Data evaluation for correctness and reliability • Workflow optimization and process improvement

2025 - Present

Chemical Scientist / Technical Operations Specialist, Aptech System Plc (AI-related evaluation workflows and documentation processes)

Text

Supported data validation and quality control activities to ensure accuracy and consistency of AI-related evaluation workflows and documentation outputs. Reviewed and assessed scientific and technical data for correctness, completeness, and compliance with defined quality standards. Collaborated with operational teams to maintain high-quality documentation and reporting for downstream AI/data processes. • Data validation and quality control • Artifact/data evaluation for accuracy • Technical documentation supporting AI-related workflows • Cross-team collaboration in operational environments

2019 - 2024

Education

Work History