Adotse S.

Key Skills

Software

Other

Appen

Remotasks

Top Subject Matter

Healthcare/pharmacy Domain Expertise

AI/Data Annotation & Search Relevance

Legal Services & Contract Review

Top Data Types

Text

Document

Image

Top Task Types

Segmentation

Classification

Fine-tuning

Freelancer Overview

Since 2023, I've worked as an independent contractor on data annotation and AI training data projects across major platforms including Appen, TELUS AI, RWS, and Oneforma, with recent onboarding to a Search Evaluation project through Centific. My work spans search relevance rating, audio evaluation, and writing detailed justifications for AI response ratings — consistently maintaining 95%+ accuracy across high-volume review tasks. I'm experienced at interpreting complex rating guidelines and applying them to real-world scenarios with minimal supervision, identifying inconsistencies, and improving overall data quality through structured evaluation. What sets me apart is the combination of analytical rigour from my pharmacy background and the disciplined attention to detail that clinical work demands. I'm comfortable making accurate, defensible decisions under pressure, working independently in remote environments, and adapting quickly to evolving guidelines across different projects and frameworks. Whether evaluating semantic, audio, or contextual dimensions of AI outputs, I focus on producing clear, well-reasoned judgements that genuinely support model performance.

Labeling Experience

Data Annotation & Search Relevance Specialist (Independent Contractor, Remote)

AppenText

Executed data annotation and labeling projects for AI systems across remote platforms to support model performance. Evaluated large volumes of data against strict quality and relevance criteria and maintained high accuracy on review tasks. Interpreted rating guidelines and applied them to real-world scenarios to improve data quality.• Used Appen, TELUS AI, and RWS platforms for annotation work.• Performed structured evaluation to identify inconsistencies in data.• Achieved 95%+ accuracy across high-volume labeling and QA tasks.• Applied rating guidelines with minimal supervision to ensure consistency.

2023 - Present

Education

Work History