Shanjul Shrivastava

Key Skills

Software

Appen

Labelbox

Mercor

Top Subject Matter

Chemistry (STEM)

Scientific Problem-Solving

Chemical Engineering

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Text Generation

Question Answering

RLHF

Computer Programming/Coding

Evaluation/Rating

Fine-tuning

Freelancer Overview

Chemical Engineer with 5+ years of R&D experience in separation processes and pilot-scale operations, pivoting into AI problem-solving. Currently a STEM Chemistry Expert, developing high-quality datasets and structuring domain-specific solutions for AI models using Python. Proven track record in process optimization, statistical data analysis, and technical documentation. Seeking remote AI freelancing and data analysis roles that leverage strong STEM fundamentals and analytical skills. STEM Chemistry Expert (AI Training) | Mercor, Remote Jan 2026–Present Developed high-quality chemistry datasets and solved domain-specific scientific/coding problems using Python. Structured complex chemical concepts into machine-readable formats, improving AI dataset clarity and consistency.

Labeling Experience

STEM Chemistry Expert (AI Training)

MercorComputer Code ProgrammingRLHF

Designed, developed, and curated high-quality chemistry datasets for AI model training. Structured complex scientific and coding problems into machine-readable formats using Python. Enhanced dataset clarity and consistency for AI, ensuring rigorous testing of domain knowledge. • Created domain-specific Q&A and problem sets for chemistry-focused AI workflows. • Converted unstructured scientific content into clear, labeled data formats. • Implemented best practices for dataset annotation, verification, and standardization. • Utilized Mercor’s proprietary AI training platform to annotate and validate scientific data.

Designed, developed, and curated high-quality chemistry datasets for AI model training. Structured complex scientific and coding problems into machine-readable formats using Python. Enhanced dataset clarity and consistency for AI, ensuring rigorous testing of domain knowledge. • Created domain-specific Q&A and problem sets for chemistry-focused AI workflows. • Converted unstructured scientific content into clear, labeled data formats. • Implemented best practices for dataset annotation, verification, and standardization. • Utilized Mercor’s proprietary AI training platform to annotate and validate scientific data.

2026 - Present

Education

Work History