Maryam S.

Key Skills

Software

SuperAnnotate

Appen

Mindrift

Top Subject Matter

AI/ML Dataset Preparation

AI Evaluation and Quality Assurance

Top Data Types

Image

Text

Audio

Video

Top Task Types

Classification

Freelancer Overview

Data Annotator/AI Trainer. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include SuperAnnotate, Appen, and Mindrift. Education includes Master of Science, Nassarawa State University (2025) and Bachelor of Science, Nassarawa State University (2021). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data Annotator/AI Trainer

SuperAnnotateImageClassification

In this role, I contributed to large-scale data annotation projects for images, text, and audio to aid machine learning and AI model development. I maintained high-quality and consistent labeling through strict adherence to project guidelines and close coordination with distributed teams. Ensuring privacy and data protection was always a top priority throughout my tasks. • Labeled multi-modal datasets (image, text, audio) for AI model training. • Adhered to detailed project documentation and quality assurance protocols. • Collaborated with remote teams to ensure timely project completion. • Prioritized data accuracy and consistency in all assignments.

2026 - 2026

AI Training Specialist/Data Annotator

AppenImageClassification

As an AI training specialist and data annotator, I supported the development of AI systems through comprehensive annotation and labeling tasks across images, text, video, and audio. I followed precise project guidelines to guarantee consistency, accuracy, and high-quality output throughout various AI training tasks. Additionally, I participated in preparing data collections that facilitated the training of diverse AI models. • Executed annotation on multi-format datasets for machine learning projects. • Upheld project milestones by aligning annotation work with provided standards. • Assisted with data preparation for speech, computer vision, and chatbot systems. • Delivered reliable and consistent labeled data for model development.

2025 - 2025

Data Annotator/QA Specialist

MindriftText

In this position, I evaluated AI responses for safety, factual accuracy, and relevance to given prompts. My responsibilities involved reviewing label submissions from other annotators, categorizing products, and providing feedback. I assessed and compared search engine outputs to enhance algorithmic performance and ensured optimal user satisfaction. • Conducted prompt-response safety and accuracy assessments for AI generated content. • Offered quality assurance feedback to fellow annotators. • Classified and categorized products within shopping-related datasets. • Improved search engine results through detailed pair-wise comparisons.

2024 - 2025

Education

Work History