Maureen J.

Key Skills

Software

Other

Appen

CloudFactory

CVAT

Data Annotation Tech

Dataloop

iMerit

Labelbox

OneForma

Sama

Snorkel AI

Telus

V7 Labs

Top Subject Matter

LLM prompt/evaluation and AI content quality

Multilingual NLP classification and search quality rating

Linguistic QA and factual review for labeled AI datasets/outputs

Top Data Types

Text

Video

Image

Top Task Types

Classification

Bounding Box

Segmentation

Entity (NER) Classification

Point/Key Point

Question Answering

Text Summarization

RLHF

Text Generation

Fine-tuning

Red Teaming

Transcription

Evaluation/Rating

Cuboid

Polyline

Polygon

Object Detection

Computer Programming/Coding

Function Calling

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

AI Trainer (Part-time) — Outlier (Remote). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and CloudFactory. Education includes Bachelor of Science, Egerton University (2023) and Kenya Certificate of Secondary Education, Ruiga Girls High School. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Trainer (Part-time) — Outlier (Remote)

OtherText

Reviewed AI-generated content for coherence, correctness, and stylistic consistency while enforcing task-specific quality requirements. Evaluated prompts and standardized terminology, including guidance for cultural appropriateness and safety considerations. Produced client-ready summaries and recommendations based on the reviewed outputs. • Coherence and correctness checks • Stylistic consistency and terminology standardization • Cultural appropriateness guidance • Summarization of results and actionable recommendations

2024 - Present

Data Annotator & Search Quality Rater — CloudFactory (Remote)

CloudFactoryTextClassification

Performed guideline-driven labeling of multilingual/English datasets covering intent, sentiment, toxicity, and safety. Conducted web/search relevance judgments using a consistent taxonomy to improve information retrieval quality. Applied processes to resolve ambiguity and improve inter-annotator agreement through examples, clarifications, and escalation. • Intent and sentiment classification • Toxicity and safety labeling • Web/search relevance judgments • Inter-annotator agreement via examples and escalation

2021 - 2023

Quality Reviewer — Innodata (Remote)

OtherText

Reviewed annotated datasets and AI outputs using linguistic and factual QA checks. Enforced style and taxonomy standards and ensured outputs met client expectations. Documented edge cases and rationales to support consistent review decisions and delivery alignment. • Linguistic QA (style, consistency) • Factual verification checks • Edge case documentation and rationales • Alignment with client taxonomy and requirements

2021 - 2022

Education

Work History