For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
M
Miriam Faks

Miriam Faks

AI Data Annotation Specialist

Canada flagOntario, Canada
$20.00/hrIntermediateAppenData Annotation TechMercor

Key Skills

Software

AppenAppen
Data Annotation TechData Annotation Tech
MercorMercor
OneFormaOneForma

Top Subject Matter

AI Model Training
Computer Vision
Healthcare Data & Medical Documentation

Top Data Types

ImageImage
VideoVideo
TextText
AudioAudio
DocumentDocument

Top Task Types

Bounding BoxBounding Box
PolygonPolygon
Point/Key PointPoint/Key Point
PolylinePolyline
Entity (NER) ClassificationEntity (NER) Classification
SegmentationSegmentation
ClassificationClassification
Object DetectionObject Detection
TrackingTracking
Emotion RecognitionEmotion Recognition

Freelancer Overview

AI Data Annotation Specialist. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor-of-Pharmacy, Obafemi Awolowo University (2016). AI-training focus includes data types such as Image, Video, and Text, and labeling workflows including Bounding Box, Polygon, and Point.

IntermediateEnglish

Labeling Experience

AI Data Annotation Specialist

ImageBounding BoxPolygon
As an AI Data Annotation Specialist at Hugo Technologies Inc., I annotated multi-modal datasets for machine learning and AI applications. My primary tasks included labeling images, video, audio, text, scanned documents, and medical scans with high accuracy. I collaborated with engineers and data scientists, and delivered consistent, top-quality annotations achieving up to 99% project quality scores. • Labeled pixel-level object boundaries, facial features, skeletal joints, road lanes, crops, organs, and products. • Tagged audio clips for speaker identification, noise labeling, and content classification for speech models. • Annotated text for named entities, opinions, intent, document types, and ensured sentiment analysis coverage. • Validated team annotations, updated annotation workflows, and provided trend analysis reports.

As an AI Data Annotation Specialist at Hugo Technologies Inc., I annotated multi-modal datasets for machine learning and AI applications. My primary tasks included labeling images, video, audio, text, scanned documents, and medical scans with high accuracy. I collaborated with engineers and data scientists, and delivered consistent, top-quality annotations achieving up to 99% project quality scores. • Labeled pixel-level object boundaries, facial features, skeletal joints, road lanes, crops, organs, and products. • Tagged audio clips for speaker identification, noise labeling, and content classification for speech models. • Annotated text for named entities, opinions, intent, document types, and ensured sentiment analysis coverage. • Validated team annotations, updated annotation workflows, and provided trend analysis reports.

2020 - 2026

Data Annotator Quality Analyst

ImageClassificationSegmentation
As a Data Annotator Quality Analyst at Hugo Technologies Inc., I conducted quality assurance reviews on large annotated datasets covering images, audio, video, and text. I ensured accuracy, consistency, and strict adherence to client specifications. My efforts in detecting and correcting edge-case errors consistently boosted team quality metrics to 99%. • Provided coaching and feedback to annotators to improve labeling accuracy and reduce rework cycles. • Authored error trend reports and collaborated with managers to refine annotation guidelines. • Developed project-specific quality benchmarks and best practices to minimize annotation bias. • Detected and corrected mislabeled data, maintaining high data integrity for AI model training.

As a Data Annotator Quality Analyst at Hugo Technologies Inc., I conducted quality assurance reviews on large annotated datasets covering images, audio, video, and text. I ensured accuracy, consistency, and strict adherence to client specifications. My efforts in detecting and correcting edge-case errors consistently boosted team quality metrics to 99%. • Provided coaching and feedback to annotators to improve labeling accuracy and reduce rework cycles. • Authored error trend reports and collaborated with managers to refine annotation guidelines. • Developed project-specific quality benchmarks and best practices to minimize annotation bias. • Detected and corrected mislabeled data, maintaining high data integrity for AI model training.

2020 - 2024

Education

O

Obafemi Awolowo University

Bachelor of Pharmacy, Pharmacy

Bachelor of Pharmacy
2010 - 2016

Work History

N

N/A

Outreach Manager

Lagos
2020 - 2025
N

N/A

Medical Outreach Co-ordinator

Lagos
2018 - 2019