Ruxana Nargolwala

Key Skills

Software

Data Annotation Tech

Mercor

Scale AI

Top Subject Matter

Biochemistry Domain Expertise

Molecular Biology

Stem Domain Expertise

Top Data Types

Text

Image

Document

Top Task Types

Prompt Response Writing SFT

Red Teaming

Fine Tuning

RLHF

Data Collection

Computer Programming Coding

Transcription

Segmentation

Text Generation

Text Summarization

Object Detection

Freelancer Overview

PhD-Level STEM Expert | Specialist | Outlier AI. Brings 34+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Data Annotation Tech. Education includes Doctor of Philosophy, Newcastle University (2023) and Master of Science, Imperial College London (2008). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

PhD-Level STEM Expert | Specialist | Outlier AI

TextPrompt Response Writing SFT

As a PhD-Level STEM Expert at Outlier AI, I trained and evaluated AI models using advanced biochemistry and molecular biology prompts. I designed challenging content to test the scientific reasoning of AI across protein folding and metabolic pathways. I authored gold-standard benchmarks serving as ground-truth for fine-tuning and evaluated mechanistic correctness in AI outputs. • Led precision training of frontier AI models utilizing doctoral-level scientific content. • Developed scientific prompts and benchmarks for use in large language models. • Audited AI outputs for subtle and complex errors in biochemical pathways. • Provided expert evaluation for LLM output alignment in biochemistry and molecular biology.

As a PhD-Level STEM Expert at Outlier AI, I trained and evaluated AI models using advanced biochemistry and molecular biology prompts. I designed challenging content to test the scientific reasoning of AI across protein folding and metabolic pathways. I authored gold-standard benchmarks serving as ground-truth for fine-tuning and evaluated mechanistic correctness in AI outputs. • Led precision training of frontier AI models utilizing doctoral-level scientific content. • Developed scientific prompts and benchmarks for use in large language models. • Audited AI outputs for subtle and complex errors in biochemical pathways. • Provided expert evaluation for LLM output alignment in biochemistry and molecular biology.

2023 - Present

STEM & Finance Data Annotation | Data Annotation.tech

Data Annotation TechText

At Data Annotation.tech, I executed quality assurance and annotation for AI model responses in STEM and Finance domains. I created evaluation rubrics, conducted visual analysis, and assessed model outputs for accuracy and logical consistency. My work included training models on complex scientific visualizations and finance problem-solving tasks. • Senior Reviewer ensuring 99.9% scientific accuracy in model responses. • Designed evaluation frameworks for multidimensional annotation tasks. • Led image-based training projects in life sciences and finance. • Delivered logical consistency assessments for AI-generated financial analyses.

At Data Annotation.tech, I executed quality assurance and annotation for AI model responses in STEM and Finance domains. I created evaluation rubrics, conducted visual analysis, and assessed model outputs for accuracy and logical consistency. My work included training models on complex scientific visualizations and finance problem-solving tasks. • Senior Reviewer ensuring 99.9% scientific accuracy in model responses. • Designed evaluation frameworks for multidimensional annotation tasks. • Led image-based training projects in life sciences and finance. • Delivered logical consistency assessments for AI-generated financial analyses.

2019 - Present

Education

Work History