Anisa Khatun

Key Skills

Software

Data Annotation Tech

Internal/Proprietary Tooling

Top Subject Matter

Mathematics Domain Expertise

Programming Domain Expertise

Generalist AI

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Prompt Response Writing SFT

Evaluation Rating

Computer Programming Coding

RLHF

Text Generation

Fine Tuning

Function Calling

Freelancer Overview

I have been a Data Annotator for Data Annotation Tech for nearly 1 year (since July 2025.) I am highly experienced in data annotation for Mathematics and Programming projects. From completing week-long, in-depth projects, I have a deep understanding of the nuances of rubric creation, ensuring prompts/model responses satisfy certain criteria and reviewing others' work. I have used my knowledge in Python to complete projects involving it, and have put to use my 7+ years of experience as a Mathematics Tutor to train models.

Labeling Experience

AI Trainer

Data Annotation TechTextEvaluation Rating

Generalist, coding, and Mathematics AI Trainer responsible for annotating data with careful attention and creating systematic rubrics. Applied meticulous attention to detail and rigorously followed comprehensive instructions. Ensured high standards of execution for data annotation tasks and continuous improvement of processes. Highly experienced in using Python and R for projects, as well as LaTeX for mathematical projects. • Contributed to improving AI performance in both mathematical and coding domains. • Created detailed evaluation guidelines and rubrics to standardize labelling outcomes. • Followed strict instructions for evaluating output quality and accuracy. • Delivered consistently high-quality annotations for model training and evaluation.

Generalist, coding, and Mathematics AI Trainer responsible for annotating data with careful attention and creating systematic rubrics. Applied meticulous attention to detail and rigorously followed comprehensive instructions. Ensured high standards of execution for data annotation tasks and continuous improvement of processes. Highly experienced in using Python and R for projects, as well as LaTeX for mathematical projects. • Contributed to improving AI performance in both mathematical and coding domains. • Created detailed evaluation guidelines and rubrics to standardize labelling outcomes. • Followed strict instructions for evaluating output quality and accuracy. • Delivered consistently high-quality annotations for model training and evaluation.

2025 - Present

Education

Work History