Melody Essien

Key Skills

Software

Appen

Clickworker

Lionbridge

Mindrift

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Bounding Box

Segmentation

Classification

Question Answering

Object Detection

Freelancer Overview

I bring over 10 years of experience in program management, technical writing, and AI-assisted content creation, with a strong focus on data-driven projects across nonprofit, education, and technology sectors. My background includes collecting, analyzing, and reporting program data, developing clear and accurate documentation, and integrating AI tools into content workflows to enhance efficiency and accuracy. I am skilled in using tools such as Notion, Airtable, Google Forms, and WordPress for data collection, labeling, and content management. My work often involves research, fact-checking, and ensuring data quality, making me adept at handling data annotation and training data tasks for AI and machine learning projects. I am passionate about producing publication-ready, well-structured datasets and supporting teams in building high-quality AI solutions.

Labeling Experience

Data Rater/AI Data Trainer

AppenImageBounding BoxSegmentation

Project Description (Appen | January 2021 – May 2024) Worked as a Data Rater / AI Data Trainer on multiple large-scale machine learning projects focused on improving search engine results, AI language models, and content moderation systems. Responsibilities included evaluating and labeling text, image, audio, and search result data according to detailed client guidelines. Performed tasks such as: Rating search engine relevance and query intent Annotating text for sentiment, tone, and intent classification Evaluating AI-generated responses for accuracy, safety, bias, and coherence Categorizing web content based on quality and policy compliance Transcribing and reviewing audio data where required Contributed to projects involving thousands of data points weekly, ensuring consistency and alignment with evolving annotation guidelines. Maintained high accuracy scores (consistently meeting or exceeding quality thresholds of 90%+). Participated in calibration exercises, and quality audits.

Project Description (Appen | January 2021 – May 2024) Worked as a Data Rater / AI Data Trainer on multiple large-scale machine learning projects focused on improving search engine results, AI language models, and content moderation systems. Responsibilities included evaluating and labeling text, image, audio, and search result data according to detailed client guidelines. Performed tasks such as: Rating search engine relevance and query intent Annotating text for sentiment, tone, and intent classification Evaluating AI-generated responses for accuracy, safety, bias, and coherence Categorizing web content based on quality and policy compliance Transcribing and reviewing audio data where required Contributed to projects involving thousands of data points weekly, ensuring consistency and alignment with evolving annotation guidelines. Maintained high accuracy scores (consistently meeting or exceeding quality thresholds of 90%+). Participated in calibration exercises, and quality audits.

2021 - 2024

Education

Work History