Data Annotator - Text, Image & Audio Labeling

CURRICULUM VITAE

Uzamot Dauda

Lagos, Nigeria

+234********** **************@*****.***

PROFILE

Detail-oriented Data Annotator with 1.5 years of experience on Appen’s CrowdGen platform, delivering accurate and consistent labeled datasets for AI models. Skilled in text, image, and audio annotation with strong adherence to guidelines and quality standards. Proven ability to meet deadlines in remote environments while maintaining high accuracy and productivity. SKILLS

Annotation: Text, image, audio labeling; classification; categorization; transcription

Tools: CrowdGen, Labelbox (familiar), CVAT (familiar)

Quality Control: Data validation, error detection, guideline compliance

Technical: Basic ML data workflows, data preprocessing

Core Strengths: Attention to detail, time management, consistency, remote collaboration EXPERIENCE

Data Annotator

Appen (CrowdGen) May 2024 – Jan 2026.

Delivered high-quality annotations across Matrigo, Parimango, and Multimango projects

Labeled text, image, and audio datasets with strong accuracy and consistency

Met strict QA benchmarks and project deadlines in a remote setting

Performed data validation and corrected errors to improve output quality

Adapted quickly to changing guidelines and project requirements

Maintained 95% annotation accuracy across tasks

Completed 50+ tasks per week consistently

Completed 40 hours per week consistently

EDUCATION

09/2023 – present B.Sc. Economics (in view) Lagos, Nigeria INSTITUTION: University of Lagos

ADDITIONAL

Available for remote roles

Reliable internet and workspace setup

Fast learner with strong attention to detail

Contact this candidate