Mary Daikwo

Key Skills

Software

Telus

Clickworker

Appen

Figure Eight

Top Subject Matter

Machine Learning/Data Annotation

AI/Data Categorization

AI Training/Data Annotation

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

Remote Data Analyst. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus, Clickworker, and Appen. Education includes Higher National Diploma, Kaduna Polytechnic (2021) and West African Senior School Certificate, Victory Academy (2008). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Remote Data Analyst

TelusText

In this role, I performed data annotation and labeling tasks specifically for machine learning and AI training projects. I was responsible for conducting quality assurance reviews to ensure data accuracy and consistency within large-volume datasets. Additionally, I evaluated search engine results and provided feedback to help improve algorithm performance. • Annotated and labeled textual data for various AI-driven tasks. • Ensured high levels of accuracy and consistency through thorough quality assurance processes. • Worked independently to meet productivity targets while collaborating with a remote team. • Provided evaluation feedback to enhance machine learning models' effectiveness.

In this role, I performed data annotation and labeling tasks specifically for machine learning and AI training projects. I was responsible for conducting quality assurance reviews to ensure data accuracy and consistency within large-volume datasets. Additionally, I evaluated search engine results and provided feedback to help improve algorithm performance. • Annotated and labeled textual data for various AI-driven tasks. • Ensured high levels of accuracy and consistency through thorough quality assurance processes. • Worked independently to meet productivity targets while collaborating with a remote team. • Provided evaluation feedback to enhance machine learning models' effectiveness.

2023 - 2024

Remote Microtask Specialist

ClickworkerTextClassification

As a Remote Microtask Specialist, I engaged in data categorization, web research, and content review microtasks, many of which involved annotating and classifying text data for AI models. Text creation, translation, and product data verification tasks contributed to the accuracy and development of e-commerce and other digital platforms. I maintained strict quality standards across diverse annotation and microtask projects. • Labeled and categorized data for machine learning and AI applications. • Managed microtask workflows to meet stringent quality benchmarks and deadlines. • Supported AI data pipelines through accurate text creation and translation work. • Provided annotation services via Clickworker's proprietary tools.

As a Remote Microtask Specialist, I engaged in data categorization, web research, and content review microtasks, many of which involved annotating and classifying text data for AI models. Text creation, translation, and product data verification tasks contributed to the accuracy and development of e-commerce and other digital platforms. I maintained strict quality standards across diverse annotation and microtask projects. • Labeled and categorized data for machine learning and AI applications. • Managed microtask workflows to meet stringent quality benchmarks and deadlines. • Supported AI data pipelines through accurate text creation and translation work. • Provided annotation services via Clickworker's proprietary tools.

2022 - 2023

Data Annotator

AppenImageClassification

For Appen, I contributed to large-scale annotation projects involving images, audio, and video data for AI training. My responsibilities included evaluating and rating search results and performing transcription and data collection with high accuracy. I used linguistic and cultural knowledge to add value to complex, global projects. • Annotated image datasets for computer vision and classification training purposes. • Labeled audio and video data to support speech recognition and multimedia AI models. • Performed evaluations and ratings for search engine quality improvement. • Utilized Appen's platform tools for annotation and review processes.

For Appen, I contributed to large-scale annotation projects involving images, audio, and video data for AI training. My responsibilities included evaluating and rating search results and performing transcription and data collection with high accuracy. I used linguistic and cultural knowledge to add value to complex, global projects. • Annotated image datasets for computer vision and classification training purposes. • Labeled audio and video data to support speech recognition and multimedia AI models. • Performed evaluations and ratings for search engine quality improvement. • Utilized Appen's platform tools for annotation and review processes.

2019 - 2020

Data Contributor

Figure EightTextClassification

As a Data Contributor at CrowdFlower (now Figure Eight), I engaged in data enrichment, validation, and annotation projects supporting machine learning applications. My tasks included sentiment analysis, content categorization, and contributing to text and image annotation initiatives. Consistency and accuracy were integral to delivering reliable labeled datasets for client AI systems. • Classified and categorized text according to sentiment and topic. • Participated in enrichment and validation of large data sets for AI model training. • Labeled both textual and image content for supervised learning models. • Operated within Figure Eight's cloud-based data annotation environment.

As a Data Contributor at CrowdFlower (now Figure Eight), I engaged in data enrichment, validation, and annotation projects supporting machine learning applications. My tasks included sentiment analysis, content categorization, and contributing to text and image annotation initiatives. Consistency and accuracy were integral to delivering reliable labeled datasets for client AI systems. • Classified and categorized text according to sentiment and topic. • Participated in enrichment and validation of large data sets for AI model training. • Labeled both textual and image content for supervised learning models. • Operated within Figure Eight's cloud-based data annotation environment.

2018 - 2019

Education

Work History