Mike O.

Key Skills

Software

Don't disclose

Clickworker

CVAT

Dataloop

Labelbox

Remotasks

SuperAnnotate

V7 Labs

Top Subject Matter

AI data training quality assurance and annotation

Remote AI data training annotation

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Classification

Bounding Box

Polygon

Segmentation

Entity (NER) Classification

Point/Key Point

Cuboid

Polyline

Object Detection

Text Generation

Question Answering

Text Summarization

Transcription

Red Teaming

Fine-tuning

RLHF

Data Collection

Freelancer Overview

Quality Analyst / Annotator — Digital Divide Data (AI Data Training BPO). Core strengths include Don't disclose and Remotasks. Education includes Certificate, Digital Divide Data (2024) and Certificate, Moringa School (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Quality Analyst / Annotator — Digital Divide Data (AI Data Training BPO)

Don't discloseText

Served as a Quality Analyst and Annotator for AI data training operations, verifying outputs against established annotation guidelines and standards. Performed quality evaluation, identified recurring labeling gaps, and delivered structured feedback to improve accuracy. Compiled recurring quality performance reports and maintained detailed performance records for ongoing monitoring and improvement. • Analyzed agents’ work output versus guideline requirements • Provided structured feedback to raise labeling quality • Identified recurring gaps and recommended targeted training interventions • Produced daily, weekly, and monthly quality performance reports

2020 - Present

Data Annotator — Remotask (Remote AI Data Training)

RemotasksTextClassification

Worked as a Data Annotator on remote AI data training projects, labeling and annotating datasets with high precision for machine learning use. Maintained a 99% accuracy rate and conducted validation checks to ensure dataset integrity and compliance with labeling requirements. Used annotation tools to meet productivity and quality targets while supporting large-scale dataset preparation. • Annotated and labeled datasets for machine learning training • Maintained 99% accuracy across large-scale projects • Performed validation checks for integrity and compliance • Used annotation tools to achieve productivity and quality targets

2022 - 2023

Education