Kabiru Shittu

Key Skills

Software

Appen

Top Subject Matter

General/nlp Domain Expertise

Search Engines/IR

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Entity (NER) Classification

Data Collection

Freelancer Overview

Proofreader/Annotation Specialist. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. Education includes Master of Science, University of Saskatchewan (2023) and Bachelor of Science, Ahmadu Bello University (2017). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification, Evaluation, and Rating.

Labeling Experience

Data Collection Specialist

AppenTextData Collection

In my capacity as a Data Collection Specialist at Appen Connect, I was responsible for gathering, reviewing, and annotating high-quality text data for machine learning training purposes. I managed the entire process independently, ensuring the accuracy and compliance of collected datasets. This contributed to robust datasets for diverse AI model training needs. • Collected and annotated text datasets for machine learning. • Ensured data met designated project requirements. • Performed independent quality reviews and adjustments. • Maintained strict data privacy and integrity protocols.

In my capacity as a Data Collection Specialist at Appen Connect, I was responsible for gathering, reviewing, and annotating high-quality text data for machine learning training purposes. I managed the entire process independently, ensuring the accuracy and compliance of collected datasets. This contributed to robust datasets for diverse AI model training needs. • Collected and annotated text datasets for machine learning. • Ensured data met designated project requirements. • Performed independent quality reviews and adjustments. • Maintained strict data privacy and integrity protocols.

2022 - 2023

Search Engine Evaluator

AppenText

As a Search Engine Evaluator with Appen Connect, I assessed the relevance, accuracy, and quality of search results against strict guidelines. My work was integral to the development of improved search algorithms and AI moderation tools. The position required precise analysis, attention to instruction, and independent judgement. • Evaluated search engine results for user relevance and intent. • Rated results according to complex instructions and policies. • Reported inconsistencies and possible improvements. • Assisted in refining machine learning-based ranking systems.

As a Search Engine Evaluator with Appen Connect, I assessed the relevance, accuracy, and quality of search results against strict guidelines. My work was integral to the development of improved search algorithms and AI moderation tools. The position required precise analysis, attention to instruction, and independent judgement. • Evaluated search engine results for user relevance and intent. • Rated results according to complex instructions and policies. • Reported inconsistencies and possible improvements. • Assisted in refining machine learning-based ranking systems.

2022 - 2023

Proofreader/Annotation Specialist

AppenTextEntity Ner Classification

As a Proofreader/Annotation Specialist at Appen Connect, I performed detailed text annotation and error correction on datasets intended for machine learning models. My responsibilities also included quality validation of annotated data to ensure high standards for AI applications. This work directly contributed to the training and refinement of natural language processing systems. • Annotated and reviewed textual data for use in AI training. • Ensured quality and compliance with project-specific guidelines. • Corrected errors and inconsistencies in annotated samples. • Provided expert feedback to improve data quality.

As a Proofreader/Annotation Specialist at Appen Connect, I performed detailed text annotation and error correction on datasets intended for machine learning models. My responsibilities also included quality validation of annotated data to ensure high standards for AI applications. This work directly contributed to the training and refinement of natural language processing systems. • Annotated and reviewed textual data for use in AI training. • Ensured quality and compliance with project-specific guidelines. • Corrected errors and inconsistencies in annotated samples. • Provided expert feedback to improve data quality.

2022 - 2023

Education

Work History