Megan S.

Key Skills

Software

Remotasks

Scale AI

Labelbox

Appen

Top Subject Matter

NLP training data (text classification and sentiment)

NLP training data (NER)

Computer vision training data (bounding boxes)

Top Data Types

Text

Image

Top Task Types

Classification

Entity (NER) Classification

Bounding Box

Segmentation

RLHF

Freelancer Overview

Freelance Data Annotation Specialist — Remotasks / Scale AI (Text labelling). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, Scale AI, and Labelbox. Education includes Bachelor of Science, Arizona State University (2018). AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Entity (NER) Classification, and Bounding Box.

Labeling Experience

Freelance Data Annotation Specialist | Remotasks / Scale AI

Scale AIImageBounding BoxSegmentation

No description provided.

2022 - Present

Freelance Data Annotation Specialist — Remotasks / Scale AI (Image bounding boxes)

LabelboxImageBounding Box

Created image bounding box annotations for computer vision model training. Followed SOPs and annotation rubrics to label objects accurately and consistently across high-volume batches. Raised ambiguous or edge-case images for team review, contributing to refinement of labeling guidelines. • Image bounding box labeling • Computer vision annotation rubric compliance • Quality-focused boundary placement • Escalation of ambiguous/edge cases

2022 - Present

Freelance Data Annotation Specialist — Remotasks / Scale AI (NER labelling)

Scale AITextEntity (NER) Classification

Completed Named Entity Recognition (NER) annotation for structured NLP data. Labeled entity spans and categories using rubric-driven instructions to support consistent training labels. Monitored quality and reliability by identifying uncertain annotations and contributing to inter-annotator and guideline improvements. • NER span annotation • Entity category labeling • Rubric- and guideline-based consistency • Flagging ambiguous entities for refinement

2022 - Present

Freelance Data Annotation Specialist — Remotasks / Scale AI (Text labelling)

RemotasksTextClassification

Labeled text data for NLP training tasks, including text classification and sentiment labeling, while following detailed SOPs. Applied annotation guidelines to assign accurate labels to each example and maintain consistency across batches. Coordinated with quality expectations by flagging ambiguous cases for review and guideline refinement. • Text classification labeling • Sentiment labeling • Guideline/SOP adherence for NLP datasets • Escalation of edge cases and ambiguous samples

2022 - Present

Content Quality Reviewer — Appen

AppenTextClassification

Rated and evaluated English-language content, including search engine results and ads relevance, using project-specific scoring criteria. Applied nuanced judgment frameworks (e.g., EEAT and intent classification) to assess relevance and quality. Collaborated asynchronously with QA leads to resolve inter-rater disagreements and improve consistency. • Search results relevance ratings • Ads relevance evaluation • Social media content quality assessment • Resolution of inter-rater disagreements with QA leads

2020 - 2021

Education

Work History