Tiff Kamirah

Key Skills

Software

Telus

Top Subject Matter

Large Language Models

AI Content Evaluation

AI Content

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

Data Annotation Specialist. Core strengths include Internal, Proprietary Tooling, and Telus. Education includes Master of Business Administration, Morgan State University (2015) and Bachelor of Science, Morgan State University (2010). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Annotation Specialist

Text

As a Data Annotation Specialist at Outlier, I evaluated AI-generated text and multimedia outputs for reasoning quality and guideline adherence. I conducted structured comparisons and provided detailed written explanations for evaluation decisions. My role supported reinforcement learning and ongoing model improvement. • Evaluated outputs for reasoning accuracy, factual consistency, and contextual alignment. • Performed pairwise comparisons for RLHF optimization. • Assessed both text and image-based AI content for safety and compliance. • Documented justifications for quality assurance and transparency.

As a Data Annotation Specialist at Outlier, I evaluated AI-generated text and multimedia outputs for reasoning quality and guideline adherence. I conducted structured comparisons and provided detailed written explanations for evaluation decisions. My role supported reinforcement learning and ongoing model improvement. • Evaluated outputs for reasoning accuracy, factual consistency, and contextual alignment. • Performed pairwise comparisons for RLHF optimization. • Assessed both text and image-based AI content for safety and compliance. • Documented justifications for quality assurance and transparency.

2024 - 2026

AI Content Evaluation Analyst

TelusText

In my role as AI Content Evaluation Analyst at TELUS International, I reviewed AI-generated content across diverse prompts for policy compliance and response quality. I used detailed rubrics to evaluate reasoning, safety, and language fluency in line with updated annotation frameworks. My responsibilities included upholding quality standards and performing dataset QA checks. • Assessed AI-generated responses for user intent alignment and harmful content detection. • Applied structured evaluation rubrics for logical reasoning and completeness. • Conducted secondary quality assurance on annotated datasets. • Interpreted evolving project documentation and met strict quality benchmarks.

In my role as AI Content Evaluation Analyst at TELUS International, I reviewed AI-generated content across diverse prompts for policy compliance and response quality. I used detailed rubrics to evaluate reasoning, safety, and language fluency in line with updated annotation frameworks. My responsibilities included upholding quality standards and performing dataset QA checks. • Assessed AI-generated responses for user intent alignment and harmful content detection. • Applied structured evaluation rubrics for logical reasoning and completeness. • Conducted secondary quality assurance on annotated datasets. • Interpreted evolving project documentation and met strict quality benchmarks.

2022 - 2024

AI Language Evaluation Specialist

TextClassification

As an AI Language Evaluation Specialist at Invisible Technologies, I annotated structured and unstructured datasets for NLP, classification, and recommendation model training. I labeled and categorized textual data under strict accuracy standards to support model development. My work focused on quality, precision, and adaptability to changing guidelines. • Tagged, categorized, and labeled datasets for NLP system training. • Identified ambiguous or edge case outputs for detailed feedback. • Maintained high precision and productivity in remote projects. • Adapted rapidly to different guidelines and task types.

As an AI Language Evaluation Specialist at Invisible Technologies, I annotated structured and unstructured datasets for NLP, classification, and recommendation model training. I labeled and categorized textual data under strict accuracy standards to support model development. My work focused on quality, precision, and adaptability to changing guidelines. • Tagged, categorized, and labeled datasets for NLP system training. • Identified ambiguous or edge case outputs for detailed feedback. • Maintained high precision and productivity in remote projects. • Adapted rapidly to different guidelines and task types.

2020 - 2022

Education

Work History