Ruth A.

Key Skills

Software

Scale AI

Don't disclose

Other

Labelbox

Top Subject Matter

Large language models (LLM) and instruction-tuning datasets

AI content review and prompt evaluation

Data preparation and analytics supporting AI/ML readiness

Top Data Types

Text

Video

Image

Document

Top Task Types

Fine-tuning

Data Collection

Tracking

Freelancer Overview

Scale AI – Data Labeler (Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Don't disclose, and Other. Education includes Higher National Diploma, Yaba College of Technology (2019) and National Diploma, Yaba College of Technology (2016). AI-training focus includes data types such as Text, Computer Vision, and Video and labeling workflows including Fine-tuning, Evaluation, and Rating.

Labeling Experience

Dot AI – AI Data Annotation Specialist (Remote)

LabelboxVideoTracking

Annotated text and image datasets with high accuracy to support NLP and computer vision projects. Edited and corrected AI-generated video annotations by ensuring accurate timestamps, action labels, and motion consistency. Collaborated with QA reviewers to confirm compliance with annotation guidelines and dataset clarity standards.• Annotated 1,000+ text and image dataset items with 99% accuracy.• Designed annotation rubrics to improve dataset clarity for model training.• Corrected AI-generated video annotations including timestamp correction and action labeling.• Partnered with QA reviewers to ensure guideline compliance and high-quality outputs.

2025 - Present

Intern (Data Analyst) | GPHIX

OtherData Collection

Supported dataset accuracy by cleaning and preprocessing data for analysis use cases. Produced charts and dashboards for non-technical stakeholders based on processed datasets. Although primarily analyst-focused, the work directly supported data preparation and validation for downstream AI dataset readiness.• Cleaned and preprocessed datasets for accuracy.• Conducted analyses using Excel, SQL, Tableau, and Python.• Created charts and dashboards to communicate insights.• Ensured data quality through preparation steps suitable for AI/ML use.

2024 - 2025

AI Content Reviewer & Prompt Labeler | Telus International (Remote)

Don't discloseText

Trained and evaluated AI models by reviewing generated responses across dialogue, summarization, and reasoning tasks. Ensured the outputs aligned with human intent through rubric-based review and quality checking. Built structured feedback mechanisms to reduce annotation inconsistencies across the review workflow.• Reviewed 1,500+ generated responses for alignment with specified criteria.• Created rubric-based feedback systems that reduced annotation inconsistencies by 15%.• Identified reasoning gaps and recommended prompt clarity improvements.• Worked with dialogue, summarization, and reasoning task categories to improve evaluation quality.

2023 - 2024

Scale AI – Data Labeler (Remote)

Scale AITextFine-tuning

Labeled and validated large-scale datasets for LLM and instruction-tuning projects. Ensured high precision on complex annotation tasks to support improved model outputs. Performed timestamped video labeling-related validation where required for consistency and downstream training quality.• Labeled and validated dataset items according to task guidelines.• Maintained high annotation throughput while meeting daily quality benchmarks.• Provided feedback to optimize annotation workflows and reduce task errors.• Focused on precision for complex LLM-related annotation instructions.

2022 - 2023

Education

Work History