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Hi, I’m Jennifer Apoh, a remote AI data annotator specializing in content evaluation, labeling, and policy-based moderation. I maintain high accuracy and consistency across large datasets, delivering high-quality human feedback to machine learning models. I work well independently in a remote, performance-driven environment, reviewing AI-generated responses for safety, accuracy, and policy compliance. I also flag misinformation, harmful content, and bias, and I enjoy turning complex guidelines into precise annotations to help teams scale with reliable QA.…Hi, I’m Jennifer Apoh, a remote AI data annotator specializing in content evaluation, labeling, and policy-based moderation. I maintain high accuracy and consistency across large datasets, delivering high-quality human feedback to machine learning models. I work well independently in a remote, performance-driven environment, reviewing AI-generated responses for safety, accuracy, and policy compliance. I also flag misinformation, harmful content, and bias, and I enjoy turning complex guidelines into precise annotations to help teams scale with reliable QA.

Jennifer Apoh

Data Annotator, Data Analyst, QA Engineer, +3

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Hi, I’m Jennifer Apoh, a remote AI data annotator specializing in content evaluation, labeling, and policy-based moderation. I maintain high accuracy and consistency across large datasets, delivering high-quality human feedback to machine learning models. I work well independently in a remote, performance-driven environment, reviewing AI-generated responses for safety, accuracy, and policy compliance. I also flag misinformation, harmful content, and bias, and I enjoy turning complex guidelines into precise annotations to help teams scale with reliable QA.…Hi, I’m Jennifer Apoh, a remote AI data annotator specializing in content evaluation, labeling, and policy-based moderation. I maintain high accuracy and consistency across large datasets, delivering high-quality human feedback to machine learning models. I work well independently in a remote, performance-driven environment, reviewing AI-generated responses for safety, accuracy, and policy compliance. I also flag misinformation, harmful content, and bias, and I enjoy turning complex guidelines into precise annotations to help teams scale with reliable QA.

Available to hire

Hi, I’m Jennifer Apoh, a remote AI data annotator specializing in content evaluation, labeling, and policy-based moderation. I maintain high accuracy and consistency across large datasets, delivering high-quality human feedback to machine learning models.

I work well independently in a remote, performance-driven environment, reviewing AI-generated responses for safety, accuracy, and policy compliance. I also flag misinformation, harmful content, and bias, and I enjoy turning complex guidelines into precise annotations to help teams scale with reliable QA.

Skills

AI Data Labelling

Data Visualization

Experience Level

AI Data Labelling

Expert

Data Visualization

Intermediate

Language

English

Fluent

Work Experience

AI Data Annotator at Outlier – Aether Project

November 1, 2024 - Present

Labelled and annotated text data for AI model training following detailed project-specific guidelines. Maintained consistency across high-volume annotation tasks under evolving quality standards. Reviewed QA feedback to improve accuracy and guideline alignment. Demonstrated strong reliability and task completion over a one-month project cycle. Worked remotely in a performance-driven environment. Reviewed AI-generated responses for safety, accuracy, and policy compliance. Flagged misinformation, harmful content, and biased outputs. Conducted quality checks to reduce labeling errors.