Jackline Wanjiru

Key Skills

Software

Appen

Remotasks

Top Subject Matter

Healthcare Data & Medical Documentation

Medical/clinical Domain Expertise

General AI

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

Healthcare AI Data Annotator & Evaluator. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen and Remotasks. Education includes Bachelor of Science, Kenyatta University (2016) and Bachelor's Degree, Queen's University (2020). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Healthcare AI Data Annotator & Evaluator

AppenText

Responsible for annotating and evaluating AI-generated text for use in large language models in healthcare contexts. Duties included reviewing outputs for factual accuracy, clarity, coherence, and safety compliance, leveraging healthcare expertise to identify errors. Maintained accuracy rates above 98% while working remotely and supporting multilingual healthcare-adjacent data labeling. • Evaluated and rated AI-generated responses for medical safety. • Labeled medical text datasets for LLM training and validation. • Supported dialogue-based content creation and review. • Ensured compliance with accuracy, safety, and quality benchmarks.

Responsible for annotating and evaluating AI-generated text for use in large language models in healthcare contexts. Duties included reviewing outputs for factual accuracy, clarity, coherence, and safety compliance, leveraging healthcare expertise to identify errors. Maintained accuracy rates above 98% while working remotely and supporting multilingual healthcare-adjacent data labeling. • Evaluated and rated AI-generated responses for medical safety. • Labeled medical text datasets for LLM training and validation. • Supported dialogue-based content creation and review. • Ensured compliance with accuracy, safety, and quality benchmarks.

2022 - Present

AI Data Specialist

RemotasksTextClassification

Performed data labeling, text classification, and content evaluation for AI model development. Tasks involved reviewing outputs for bias, factual errors, and safety issues across various projects. Consistently delivered high-quality, remote work in AI data annotation with a focus on healthcare and general content. • Labeled and classified text data for AI training datasets. • Identified errors and safety concerns in AI outputs. • Contributed to bias detection and quality assurance tasks. • Maintained productivity and accuracy in fully remote environment.

Performed data labeling, text classification, and content evaluation for AI model development. Tasks involved reviewing outputs for bias, factual errors, and safety issues across various projects. Consistently delivered high-quality, remote work in AI data annotation with a focus on healthcare and general content. • Labeled and classified text data for AI training datasets. • Identified errors and safety concerns in AI outputs. • Contributed to bias detection and quality assurance tasks. • Maintained productivity and accuracy in fully remote environment.

2021 - 2022

Education

Work History