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Nivetha Srinivasan

Data Annotation & Map Evaluation Practice

INDIA flag
GINEE, TAMIL NADU, India
$9.00/hrIntermediateClickworkerAppen

Key Skills

Software

ClickworkerClickworker
AppenAppen

Top Subject Matter

LLM Output Evaluation and Data Annotation
Population Demographics and Telephony Data
Global Workforce and Layoffs Dataset

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

RLHF
Classification

Freelancer Overview

Data Annotation & Map Evaluation Practice. Core strengths include Internal, Proprietary Tooling, and Python. Education includes Bachelor of Engineering, N/A (2024). AI-training focus includes data types such as Text and labeling workflows including RLHF and Classification.

IntermediateHindiTamilEnglish

Labeling Experience

Data Annotation & Map Evaluation Practice

TextRLHF
As a Data Annotation & Map Evaluation Practice specialist, I conducted RLHF auditing and red-teaming on multi-turn reasoning chains for language models. I performed detailed annotation and classification of text, image, and audio outputs in accordance with strict project guidelines. My work ensured all outputs met Honesty, Harmlessness, and Helpfulness (HHH) benchmarks for LLM performance. • Audited model outputs for hallucinations and errors • Applied quality control standards to all annotation processes • Labeled and categorized multi-modal data using predefined tag sets • Conducted side-by-side (SxS) and chain-of-thought (CoT) reasoning audits

As a Data Annotation & Map Evaluation Practice specialist, I conducted RLHF auditing and red-teaming on multi-turn reasoning chains for language models. I performed detailed annotation and classification of text, image, and audio outputs in accordance with strict project guidelines. My work ensured all outputs met Honesty, Harmlessness, and Helpfulness (HHH) benchmarks for LLM performance. • Audited model outputs for hallucinations and errors • Applied quality control standards to all annotation processes • Labeled and categorized multi-modal data using predefined tag sets • Conducted side-by-side (SxS) and chain-of-thought (CoT) reasoning audits

2023 - 2024

Categorization & Cleaning – World Layoffs Dataset

TextClassification
For the Categorization & Cleaning – World Layoffs Dataset project, I categorized and labeled text-based workforce trend information. Using MySQL, I prepared datasets to ensure accuracy and clean classification of data elements. My role contributed to high-confidence analytics on workforce movement and trends. • Cleaned and structured workforce data for analysis • Labeled complex data points for pattern and trend identification • Applied systematic categorization logic using SQL • Supported high-quality data integrity for analytics

For the Categorization & Cleaning – World Layoffs Dataset project, I categorized and labeled text-based workforce trend information. Using MySQL, I prepared datasets to ensure accuracy and clean classification of data elements. My role contributed to high-confidence analytics on workforce movement and trends. • Cleaned and structured workforce data for analysis • Labeled complex data points for pattern and trend identification • Applied systematic categorization logic using SQL • Supported high-quality data integrity for analytics

2023 - 2023

Population & Call List Data Annotation

TextClassification
In the Population & Call List Data Annotation project, I developed Python scripts to label and organize large-scale unstructured textual data. I applied classification guidelines to maintain consistency and data integrity throughout all annotation phases. My efforts enabled the identification of key patterns in demographic and call data collections. • Processed and annotated population and call list datasets • Ensured consistency with comprehensive labeling instructions • Utilized Python for data cleaning and preparation • Enhanced dataset usability for downstream analytics

In the Population & Call List Data Annotation project, I developed Python scripts to label and organize large-scale unstructured textual data. I applied classification guidelines to maintain consistency and data integrity throughout all annotation phases. My efforts enabled the identification of key patterns in demographic and call data collections. • Processed and annotated population and call list datasets • Ensured consistency with comprehensive labeling instructions • Utilized Python for data cleaning and preparation • Enhanced dataset usability for downstream analytics

2022 - 2022

Education

N

N/A

Bachelor of Engineering, Computer Science and Engineering

Bachelor of Engineering
2020 - 2024

Work History

D

data analyst

freelance

GINGEE,TAMIL NADU
2024 - 2026