Pauline W.

Key Skills

Software

Appen

CVAT

Data Annotation Tech

Labelbox

Roboflow

Toloka

Micro1

Mindrift

Top Subject Matter

LLM/data evaluation

Structured dataset annotation & evaluation

Multimodal dataset labeling and AI output evaluation

Top Data Types

Image

Text

Video

Document

Top Task Types

Bounding Box

Classification

Freelancer Overview

AI Trainer / Data Evaluation Contributor (Micro1, Remote, Contract). Core strengths include Micro1, Verita AI, and Mindrift. Education includes Diploma in Information and Communication Technology, Kenya Institute of Management and Diploma in Purchasing and Supply Management, Kenya Institute of Management. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Computer Vision Data Annotator – Object Detection

AppenImageBounding Box

Performed image annotation by drawing precise bounding boxes around vehicles, pedestrians, traffic signs, and road infrastructure elements. Ensured tight box alignment and correct class labeling according to project taxonomy. Reviewed edge cases such as partial occlusion and low-visibility conditions. Worked on high-volume datasets and followed strict quality control processes to meet accuracy thresholds required for model deployment.

2025 - 2025

AI Training Specialist / Data Annotator (Mindrift, Remote, Contract)

MindriftText

Annotated and reviewed structured datasets spanning text, audio, and video modalities while ensuring label consistency. Evaluated AI-generated outputs for factual accuracy, clarity, and adherence to instructions. Applied detailed labeling taxonomies and documented model weaknesses with structured feedback for improvement. • Maintained quality benchmarks and productivity in remote work • Performed structured dataset review to uphold consistency • Logged performance gaps, edge cases, and response issues • Supported dataset validation and QA workflows for model alignment

Not specified

AI Data Annotation & Evaluation Specialist (Verita AI, Remote, Contract)

TextClassification

Performed detailed content classification and annotation on structured datasets to improve training data reliability. Applied standardized annotation frameworks and followed project guidelines through validation checks. Reported consistent quality findings to support iterative AI model refinement. • Conducted compliance-focused validation against detailed instructions • Applied taxonomy-based labels for dataset consistency • Ensured higher reliability through structured quality reporting • Supported training improvement via documented outcomes

Not specified

AI Trainer / Data Evaluation Contributor (Micro1, Remote, Contract)

Micro1Text

Evaluated AI-generated responses for factual accuracy, clarity, and instruction compliance using defined rubrics. Identified hallucinations and incomplete or logically inconsistent outputs to support dataset and model quality. Documented structured feedback to address performance gaps and improve future iterations. • Assessed reasoning quality and alignment with training objectives • Applied detailed taxonomies to ensure consistent evaluation categories • Maintained productivity and quality benchmarks in remote workflows • Contributed to iterative refinement through written model weakness reports

Not specified

Education

Work History