Frida N.

Key Skills

Software

Telus

Other

Labelbox

Mindrift

Top Subject Matter

LLM/AI content evaluation

NLP dataset annotation and evaluation

Transcription and AI data annotation training

Top Data Types

Text

Audio

Video

Document

Top Task Types

Transcription

Bounding Box

Segmentation

Classification

Polygon

Text Generation

Freelancer Overview

AI Data Annotator / Rater at TELUS International. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus and Other. Education includes Bachelor of Science, Rongo University (2019) and Certificate, Udemy (2025). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

AI Training & Digital Work Coordinator (Transcription & Data Annotation) at eMobilis Technologies

OtherAudioTranscription

Coordinated AI training and digital work programs involving transcription and data annotation for youth. Supervised mentors delivering transcription and annotation training and performed mentorship quality checks to ensure adherence to standards. Guided trainees on AI data workflows including labeling, transcription, and use of online work platforms to improve completion quality. • Transcription workflow guidance • Annotation labeling training • Spotcheck-based quality assurance • Mentorship and onboarding support

2023 - 2025

Assistant Team Leader / Legal Transcriber at Adept Technologies

OtherAudioTranscription

Performed high-accuracy transcription and review of legal audio and video content to produce reliable textual data. Conducted quality assurance checks and merged transcription outputs to ensure completeness and consistency. Maintained documentation and accuracy standards required for legal transcription work. • Legal audio/video transcription • QA checks and verification • Merged transcription outputs • Documentation and data accuracy maintenance

2022 - 2023

AI Data Annotator / Rater at TELUS International

TelusText

Performed AI data annotation and evaluation tasks to improve machine learning and LLM performance through systematic review and labeling. Reviewed and rated AI-generated content for accuracy, relevance, and safety to support model quality. Worked with structured data formats such as JSON within annotation workflows and followed detailed guidelines for consistent labeling. • Content accuracy checking • Safety and relevance rating • JSON-based annotation workflows • Guideline-driven consistency checks

2026

AI Data Annotator / Linguistic Evaluator at RWS Group

OtherText

Annotated and validated text datasets for AI and natural language processing models with a focus on quality and consistency. Evaluated AI-generated outputs and provided feedback to improve language quality and model performance. Maintained consistency and accuracy across annotation tasks to support downstream training and evaluation. • Text dataset annotation • Output evaluation and feedback • Multilingual/transcription-aware workflows • Quality and consistency maintenance

2025

Education

Work History