Eymma Mahvish Sardar

Key Skills

Software

CrowdSource

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Audio Recording

Classification

Data Collection

Evaluation Rating

Fine Tuning

Prompt Response Writing SFT

Question Answering

Text Summarization

Transcription

Translation Localization

Freelancer Overview

I am an experienced AI and data annotation specialist with a strong background in enhancing language models through high-quality data labeling, content evaluation, and multilingual QA in both English and French. My hands-on experience includes ranking and verifying AI-generated responses for accuracy, relevance, and linguistic naturalness, as well as creating prompts, augmenting training data, and performing expert reviews to improve model performance. I am adept at using a variety of HRIS and ATS platforms, and I consistently exceed KPIs in fast-paced, multicultural environments. My work spans projects in NLP and generative AI, where I have developed training materials, audited outputs, and supported new hires to ensure data quality and operational excellence. I bring a detail-oriented, analytical approach to every task, ensuring that AI systems are both reliable and aligned with human-centric standards.

Labeling Experience

Language Specialist / Generative AI Associate

CrowdsourceTextClassificationTranslation Localization

As a Generative AI Rater at Innodata Inc., I evaluated model responses for relevance, accuracy, locality and topic related coherence, and overall clarity in alignment with detailed guidelines. I worked across a large-scale AI training project, completing a high volume of jobs daily adapting to changing guidelines and a fast paced work environment, all while maintaining excellent performance metrics. My role involved fact-checking responses, verifying source credibility, identifying patterns, and providing structured feedback to improve model consistency and quality. I consistently met and exceeded KPIs, including Quality, Average Handle Time, Job Count, Occupancy, Utilization, and Non-handle time targets, while maintaining strong accuracy scores and overall performance standards.

As a Generative AI Rater at Innodata Inc., I evaluated model responses for relevance, accuracy, locality and topic related coherence, and overall clarity in alignment with detailed guidelines. I worked across a large-scale AI training project, completing a high volume of jobs daily adapting to changing guidelines and a fast paced work environment, all while maintaining excellent performance metrics. My role involved fact-checking responses, verifying source credibility, identifying patterns, and providing structured feedback to improve model consistency and quality. I consistently met and exceeded KPIs, including Quality, Average Handle Time, Job Count, Occupancy, Utilization, and Non-handle time targets, while maintaining strong accuracy scores and overall performance standards.

2024 - 2025

Education

Work History