Nithin Nayakapu

Key Skills

Software

Internal/Proprietary Tooling

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Bounding Box

Evaluation Rating

Object Detection

Prompt Response Writing SFT

Question Answering

Text Generation

Freelancer Overview

I am an experienced AI analyst and data annotator with hands-on expertise in evaluating AI model outputs, performing data annotation, and validating training data for large language models. My work at Innodata and as a freelance AI trainer at Outlier has given me a strong foundation in prompt engineering, response evaluation, and identifying edge cases to improve model performance. I am skilled at ensuring data quality, detecting bias, and supporting the development of high-performing AI systems. My technical background includes proficiency in HTML, CSS, JavaScript, and AutoCAD, and I have successfully contributed to projects such as an AI Prompt Optimization Tool to enhance response quality. I am detail-oriented, adaptable, and committed to delivering accurate and reliable training data for AI applications.

Labeling Experience

AI Analyst – Innodata (Remote)

Internal Proprietary ToolingTextEvaluation Rating

As an AI Analyst at Innodata, I evaluate AI model outputs for accuracy, relevance, and consistency. I perform data annotation and quality validation to support large language model (LLM) training. In this role, I also identify edge cases and biases to help improve overall model performance. • Evaluated diverse text-based outputs for accuracy and quality • Labeled and annotated textual data to train and refine LLMs • Conducted quality validation and identified problematic model behaviors • Collaborated remotely to enhance the performance of AI technologies

As an AI Analyst at Innodata, I evaluate AI model outputs for accuracy, relevance, and consistency. I perform data annotation and quality validation to support large language model (LLM) training. In this role, I also identify edge cases and biases to help improve overall model performance. • Evaluated diverse text-based outputs for accuracy and quality • Labeled and annotated textual data to train and refine LLMs • Conducted quality validation and identified problematic model behaviors • Collaborated remotely to enhance the performance of AI technologies

2025

Freelance AI Trainer – Outlier (Remote)

Scale AITextEvaluation Rating

As a Freelance AI Trainer at Outlier, I evaluated responses from AI and LLM systems to determine quality and relevance. My responsibilities included prompt design and testing to improve performance. I also participated in data annotation and training workflows for AI models. • Reviewed and rated AI-generated text for accuracy and helpfulness • Designed and tested prompts to optimize model responses • Annotated responses to support AI and LLM training • Provided remote support for ongoing data labeling projects

As a Freelance AI Trainer at Outlier, I evaluated responses from AI and LLM systems to determine quality and relevance. My responsibilities included prompt design and testing to improve performance. I also participated in data annotation and training workflows for AI models. • Reviewed and rated AI-generated text for accuracy and helpfulness • Designed and tested prompts to optimize model responses • Annotated responses to support AI and LLM training • Provided remote support for ongoing data labeling projects

2024

Education

Work History