Mariya Arif Syeda

Key Skills

Software

Mercor

Appen

Clickworker

Data Annotation Tech

iMerit

Labelbox

Micro1

Mindrift

Remotasks

Telus

Top Subject Matter

AI Evaluation/AGI Model Testing

AI Audio Model Training & Evaluation

E-commerce - Product Categorization & Customer Support

Top Data Types

Text

Audio

Image

Top Task Types

Transcription

Text Generation

Object Detection

Text Summarization

Red Teaming

Data Collection

Freelancer Overview

Task Creator & QA Analyst – AI Workflows at Fleet AI. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Mercor. Education includes Bachelor of Computer Applications, Amity University (2021) and Professional Program Certificate, BITS Pilani (2023). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

Audio Model Trainer – AI & Evaluation Projects at Mercor

MercorAudioTranscription

Trained and evaluated AI systems on a large-scale dataset of multilingual Hindi and English audio and text. Transcribed, annotated, and reviewed ambiguous and edge-case audio clips, enhancing label quality and model robustness. Focused on empirical experiments driving improvements in model performance and accuracy. • Conducted detailed transcription and annotation of audio samples • Improved data labels to support diverse audio scenarios • Used high-volume datasets (10TB+) for robust evaluations • Targeted ambiguous and difficult cases to maximize accuracy

Trained and evaluated AI systems on a large-scale dataset of multilingual Hindi and English audio and text. Transcribed, annotated, and reviewed ambiguous and edge-case audio clips, enhancing label quality and model robustness. Focused on empirical experiments driving improvements in model performance and accuracy. • Conducted detailed transcription and annotation of audio samples • Improved data labels to support diverse audio scenarios • Used high-volume datasets (10TB+) for robust evaluations • Targeted ambiguous and difficult cases to maximize accuracy

Not specified

Task Creator & QA Analyst – AI Workflows at Fleet AI

Text

Designed and structured tasks, prompts, and evaluation guidelines for AI model workflows across multiple platforms. Performed QA on AI-generated outputs for accuracy, consistency, and handling of edge cases, emulating red-teaming and robustness checks. Supported empirical testing to improve model behavior and reliability in safety and security contexts. • Evaluated outputs and guided systematic assessment of model risks • Utilized LLM-adjacent tools and platforms for workflow consistency • Contributed to red-teaming processes and robustness evaluations • Developed evaluation metrics and edge-case scenarios for AI models

Designed and structured tasks, prompts, and evaluation guidelines for AI model workflows across multiple platforms. Performed QA on AI-generated outputs for accuracy, consistency, and handling of edge cases, emulating red-teaming and robustness checks. Supported empirical testing to improve model behavior and reliability in safety and security contexts. • Evaluated outputs and guided systematic assessment of model risks • Utilized LLM-adjacent tools and platforms for workflow consistency • Contributed to red-teaming processes and robustness evaluations • Developed evaluation metrics and edge-case scenarios for AI models

Not specified

Education

Work History