Open to opportunities

Mistura Ahmod

@misturaahmod

I’m a Data Annotation Specialist and Software QA Analyst improving AI quality with precise labeling and reliable testing.

Nigeria

Message

What I'm looking for

I’m looking for an AI/ML data and QA role where I can improve model performance through high-accuracy annotation and dependable testing. I want a team focused on responsible AI, clear workflows, and continuous learning that turns quality into real product outcomes.

I’m a detail-oriented Data Annotation Specialist & Software QA Analyst focused on improving AI/ML outcomes through accurate data curation and rigorous software testing. I combine practical QA discipline with responsible AI thinking, aiming for real-world impact from models and products.

In my current role as a Data Annotation Specialist (Awarri AI), I deliver high-quality annotations for LLMs and NLP models, specializing in NER, sentiment analysis, and text classification. I use Darwin(V7), CVAT, Label Studio, and Doccano-style workflows to keep datasets consistent, compliant, and dependable for production-level reliability.

To accelerate annotation quality and throughput, I leverage ChatGPT & Claude AI to draft annotation guidelines, automate documentation, and create fast feedback loops for research teams. I also collaborate with engineers to refine datasets, driving measurable improvements in model performance and error reduction while maintaining ethical standards around data privacy, inclusivity, and fairness.

Beyond labeling, I support software quality: as a Software Testing Intern (Testing Academy Nigeria) and as a Freelance Software Tester & QA Analyst, I design and execute test cases, track bugs using structured defect reporting, and perform functional, regression, usability, and performance testing. I’m also driven by continuous learning—coordinating end-to-end annotation workflows (Afridam AI) with tools like Notion and Zohot—so teams deliver timely, high-accuracy outputs.

Experience

Work history, roles, and key accomplishments

Current

Data Annotation Specialist

Current

Awarri AI

Jan 2023 - Present (3 years 6 months)

Delivered high-quality LLM and NLP data annotations to improve accuracy and reliability for real-world applications. Annotated datasets for NER, sentiment analysis, and text classification using annotation tools and supported annotation guideline creation and quality feedback loops.

Data Annotation NER Sentiment Analysis Data Quality CVAT Prodigy Annotations ChatGpt Fairness

Workflow Coordinator

Afridam AI

Jan 2025 - Jun 2026 (1 year 5 months)

Oversaw end-to-end data annotation workflows for AI/ML projects, ensuring smooth task allocation and timely delivery across multiple annotation teams. Managed workflow operations, quality control, SOPs for labeling and review, and dataset integrity for model training and evaluation.

Data Annotation Quality Assurance SOP Development Quality Audits Annotation Consistency Checks Data Integrity Workflow Management Notion Zotoh (Zohot)

Software Testing Intern

Testingacademy Nigeria

Jan 2026 - Jan 2026 (0 months)

Performed manual testing on web and mobile applications to identify defects and usability issues. Created test cases and scenarios from software requirements, and documented and tracked bugs during functional, regression, and usability testing cycles.

Manual Testing Usability Testing Test scenarios Regression Testing Functional Testing

Software Tester & QA Analyst

Freelance

Jan 2024 - Jan 2025 (1 year)

Conducted comprehensive manual testing across functional, regression, usability, and performance areas to identify defects and ensure specification compliance. Developed and executed automation test scripts, created detailed test plans and test cases, and managed bug reporting and verification for high-quality releases.

Manual Testing Functional Testing Regression Testing Usability Testing Performance Testing Test Planning Bug Reporting Automation Testing

Data Annotator – Response Correctness

Freelance

Jan 2022 - Jan 2025 (3 years)

Generated annotated datasets to support AI model training focused on response generation and query understanding. Evaluated query-response pairs for correctness, completeness, and alignment with requirements, applied annotation standards for consistency, and produced reports to improve annotation guidelines and evaluation quality control.

Response Correctness Annotation Evaluating Responses Data Quality

Computer Operator

Ijede LCDA

Jan 2020 - Jan 2022 (2 years)

Managed high-volume data entry and maintained creditor records with speed and precision for accurate financial reporting. Streamlined workflows, ensured billing schedule compliance, resolved data discrepancies, and supported audit-ready documentation.

Data Entry