Neha S.

Key Skills

Software

Clickworker

Scale AI

Surge AI

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Text

Top Task Types

Prompt + Response Writing (SFT)

Text Summarization

Translation/Localization

Freelancer Overview

I am a bilingual AI Trainer and Data Annotation Specialist with hands-on experience in Hindi–English LLM evaluation, prompt writing, and rubric-based response assessment. Over the past few years, I have contributed to multiple large-scale AI training projects focused on instruction following, text classification, sentiment analysis, and quality assurance. My work involves evaluating model outputs for accuracy, coherence, and adherence to guidelines, ensuring that responses meet both linguistic and contextual standards. With a background in content strategy and academic writing, I bring strong analytical, linguistic, and domain-specific expertise to tasks that require nuanced understanding of tone, logic, and factual consistency. I am proficient in tools such as Surge AI, Scale AI, and Toloka, and have experience working on both creative and evaluative datasets. My bilingual proficiency and attention to detail allow me to deliver high-quality annotations that enhance model reliability across diverse language tasks. Passionate about improving AI alignment and communication, I strive to combine precision with empathy in every project I undertake.

Labeling Experience

LLM Evaluation and Rubric Scoring Projects

Surge AITextQuestion AnsweringText Generation

Contributed to large-scale LLM training and evaluation tasks by assessing AI-generated text for instruction following, factual accuracy, tone, and coherence. Designed and applied detailed rubrics to score responses across varied difficulty levels and contextual settings. Created prompts for supervised fine-tuning (SFT) datasets in both Hindi and English to improve multilingual model performance. Ensured high-quality data through consistency checks, peer review, and adherence to precision-based QA metrics. Delivered consistently high agreement scores across batches and contributed to refining guideline clarity for improved model alignment.

2023 - 2024

Education

Work History