Ahmod Mistura Agbabiaka

Key Skills

Software

V7 Labs

CVAT

Label Studio

Other

Appen

Clickworker

Labelbox

Mercor

Lionbridge

Micro1

OneForma

Roboflow

Snorkel AI

Telus

Toloka

Top Subject Matter

Natural Language Processing

Llms Domain Expertise

Computer Vision

Top Data Types

Text

Image

Document

Top Task Types

Entity Ner Classification

Classification

Segmentation

Polygon

Bounding Box

Object Detection

Text Generation

Text Summarization

Fine Tuning

Evaluation Rating

Transcription

Prompt Response Writing SFT

Data Collection

Question Answering

Freelancer Overview

Data Annotation Specialist, Awarri AI. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include V7 Labs, CVAT, and Label Studio. Education includes Certificate in Software Testing and Quality Assurance, Testing Academy Nigeria (2026) and Certificate in Quality Assurance and Software Testing, RAOTECH (2024). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification, Evaluation, and Rating.

Labeling Experience

Workflow Coordinator, Afridam AI

OtherTextClassification

As Workflow Coordinator at Afridam AI, I oversaw end-to-end data annotation workflows for AI/ML projects. My responsibilities included quality assurance, team coordination, and the continuous improvement of labeling standards. I supported AI model training by maintaining data integrity and annotation consistency throughout project lifecycles. • Utilized workflow tools and managed distributed annotation teams. • Conducted quality audits and performance evaluations on annotated data. • Engaged in optimizing data pipelines and providing feedback on annotation software. • Created and maintained SOPs to increase team efficiency and dataset accuracy.

As Workflow Coordinator at Afridam AI, I oversaw end-to-end data annotation workflows for AI/ML projects. My responsibilities included quality assurance, team coordination, and the continuous improvement of labeling standards. I supported AI model training by maintaining data integrity and annotation consistency throughout project lifecycles. • Utilized workflow tools and managed distributed annotation teams. • Conducted quality audits and performance evaluations on annotated data. • Engaged in optimizing data pipelines and providing feedback on annotation software. • Created and maintained SOPs to increase team efficiency and dataset accuracy.

2025 - Present

Data Annotation Specialist, Awarri AI

V7 LabsTextEntity Ner Classification

As a Data Annotation Specialist at Awarri AI, I consistently delivered precise annotations for a range of NLP and LLM use cases. My work specialized in NER, sentiment analysis, and text classification with careful adherence to project requirements. I utilized leading annotation tools and collaborated closely with cross-functional teams to ensure data quality and compliance. • Annotated large text datasets using Darwin (V7), CVAT, and Label Studio. • Supported advanced computer vision and NLP projects to enhance model accuracy. • Leveraged AI tools to draft guidelines, automate documentation, and streamline workflows. • Contributed feedback to engineering teams, driving continuous improvement in annotation processes.

As a Data Annotation Specialist at Awarri AI, I consistently delivered precise annotations for a range of NLP and LLM use cases. My work specialized in NER, sentiment analysis, and text classification with careful adherence to project requirements. I utilized leading annotation tools and collaborated closely with cross-functional teams to ensure data quality and compliance. • Annotated large text datasets using Darwin (V7), CVAT, and Label Studio. • Supported advanced computer vision and NLP projects to enhance model accuracy. • Leveraged AI tools to draft guidelines, automate documentation, and streamline workflows. • Contributed feedback to engineering teams, driving continuous improvement in annotation processes.

2023 - Present

Data Annotator – Response Correctness Project

OtherText

As a Data Annotator for the Response Correctness Project, I produced high-quality annotated datasets to support AI model training. My work focused on query-response evaluations and detailed quality control processes. I maintained consistency and thoroughness across large text datasets to enhance AI response validity. • Analyzed query text, timestamps, and model outputs for correctness. • Applied predefined rules for annotation consistency and scalability. • Provided actionable feedback to refine model outputs and query formulation. • Optimized annotation workflows for faster turnaround and increased effectiveness.

As a Data Annotator for the Response Correctness Project, I produced high-quality annotated datasets to support AI model training. My work focused on query-response evaluations and detailed quality control processes. I maintained consistency and thoroughness across large text datasets to enhance AI response validity. • Analyzed query text, timestamps, and model outputs for correctness. • Applied predefined rules for annotation consistency and scalability. • Provided actionable feedback to refine model outputs and query formulation. • Optimized annotation workflows for faster turnaround and increased effectiveness.

2022 - 2025

Education

Work History