Melina D.

Key Skills

Software

Appen

Remotasks

Data Annotation Tech

Clickworker

Micro1

Top Subject Matter

Natural Language Processing

Machine Learning

AI Microtasking

Top Data Types

Video

Text

Image

Top Task Types

Entity (NER) Classification

Classification

Transcription

Data Collection

Evaluation/Rating

Prompt + Response Writing (SFT)

Segmentation

Bounding Box

Freelancer Overview

AI Data Annotator / Linguistic Evaluator, Appen. Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen, Remotasks, and Amazon Mechanical Turk. Education includes Bachelor of Arts, University of Florida and Master of Arts, University of California. AI-training focus includes data types such as Text and Image and labeling workflows including Entity (NER) Classification, Classification, and Evaluation.

Labeling Experience

AI Data Annotator / Linguistic Evaluator, Appen

AppenTextEntity (NER) Classification

As an AI Data Annotator and Linguistic Evaluator at Appen, I annotated and reviewed large volumes of text and speech datasets for NLP model training. I applied linguistic rules and annotation guidelines to ensure consistency and quality of labeled data, contributing to efficient machine learning workflows. My work helped improve both speed and accuracy across multiple high-volume annotation projects. • Achieved an average task accuracy rate of 98% across assigned projects. • Improved labeling consistency, boosting model training efficiency by 35%. • Completed annotation tasks ahead of deadlines, increasing turnaround speed by 25%. • Utilized specialized annotation platforms for effective dataset review.

2025 - Present

AI Microtasker / Data Labeling Associate, Amazon Mechanical Turk

Text

As an AI Microtasker and Data Labeling Associate at Amazon Mechanical Turk, I completed a wide array of AI-related data labeling, categorization, and transcription microtasks. My duties included reviewing and validating AI-generated outputs for accuracy and relevance. My high task output contributed to improved reliability and quality of training datasets. • Completed microtasks with an approval rating of 97% or higher. • Reviewed outputs, enhancing dataset reliability by 28%. • Efficiently managed and completed high weekly volumes. • Delivered consistently high performance within strict deadlines.

2023 - 2024

Data Annotation Specialist, Remotasks

RemotasksImageClassification

In my role as Data Annotation Specialist at Remotasks, I labeled and categorized image, text, and audio datasets for various machine learning projects. My responsibilities included conducting accuracy checks and correcting annotation errors to improve dataset quality. I consistently delivered large-scale annotation tasks ahead of schedule and maintained a high standard of accuracy. • Maintained annotation accuracy rate of 96% or higher. • Performed quality assurance checks, reducing inconsistencies by 40%. • Delivered high-volume projects, increasing productivity by 30%. • Qualified for advanced annotation assignments due to performance.

2021 - 2023

Education

Work History