Tanmay Darak

Key Skills

Software

Mercor

Top Subject Matter

Environmental Science

General Science

Healthcare Data & Medical Documentation

Top Data Types

Text

Document

Image

Top Task Types

Classification

Segmentation

Point Key Point

Text Generation

Question Answering

Text Summarization

Evaluation Rating

Data Collection

Prompt Response Writing SFT

Fine Tuning

Object Detection

Entity Ner Classification

Freelancer Overview

Environment Science Expert and STEM Task Reviewer. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mercor. Education includes Bachelor of Science and Master of Science (Dual Degree), Indian Institute of Science Education and Research Bhopal (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Environment Science Expert and STEM Task Reviewer

MercorText

As an Environment Science Expert and STEM Task Reviewer at Mercor, I performed AI and LLM training tasks on various data types within Environmental Science and related fields. I evaluated and improved the quality of data and provided critical feedback on AI-generated content, models, and outputs. My work ensured scientific rigor and domain accuracy in AI training projects across multidisciplinary subjects. • Conducted evaluation and rating of AI-generated scientific content. • Reviewed and improved data for LLM training in Environmental Science and related domains. • Gave actionable feedback and suggestions for quality enhancement of training tasks. • Worked with internal/proprietary platforms to complete labeling and evaluation assignments.

As an Environment Science Expert and STEM Task Reviewer at Mercor, I performed AI and LLM training tasks on various data types within Environmental Science and related fields. I evaluated and improved the quality of data and provided critical feedback on AI-generated content, models, and outputs. My work ensured scientific rigor and domain accuracy in AI training projects across multidisciplinary subjects. • Conducted evaluation and rating of AI-generated scientific content. • Reviewed and improved data for LLM training in Environmental Science and related domains. • Gave actionable feedback and suggestions for quality enhancement of training tasks. • Worked with internal/proprietary platforms to complete labeling and evaluation assignments.

2026 - Present

Education

Work History