Vivek Sequeira

Key Skills

Software

Appen

CVAT

Data Annotation Tech

Encord

Labelbox

OneForma

Scale AI

Surge AI

Micro1

Mercor

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Text

Top Label Types

Action Recognition

Audio Recording

Classification

Fine Tuning

Text Summarization

RLHF

Text Generation

Question Answering

Prompt Response Writing SFT

Transcription

Freelancer Overview

I have over 10 years of experience in customer experience operations, with a strong focus on AI-driven automation, chatbot optimization, and technical scripting. At Gelato, I helped train and refine chatbot models by designing intents, creating structured training datasets, and collaborating closely with engineering teams on API integrations and automated workflows. Beyond operations, I have practical experience in Python and Bash scripting, which I’ve used to automate routine tasks, analyze large data sets, and validate system behavior. My background includes reviewing AI-generated code for accuracy, ensuring compliance with project guidelines, and providing detailed feedback to improve data quality. Supported large-scale AI/LLM training projects specializing in Hindi and English datasets. Executed text, image, audio, and video data annotation tasks with precision, ensuring linguistic accuracy, cultural nuance, and consistent labeling quality. Crafted and evaluated prompts/responses across diverse domains, contributing to RLHF, SFT, ranking, and safety reviews. Performed red-teaming, bias detection, tone/register adjustments, and safety compliance checks, strengthening model reliability. Delivered structured rationales, peer reviews, and QA assessments based on strict rubrics and annotation guidelines. Collaborated with cross-functional global AI teams on multilingual dataset development to enhance model performance and alignment.

Labeling Experience

Language Specialist - AI Data Training

Internal Proprietary ToolingTextQuestion AnsweringText Generation

Supported large-scale AI/LLM training projects specializing in Hindi and English datasets. Executed text, image, audio, and video data annotation tasks with precision, ensuring linguistic accuracy, cultural nuance, and consistent labeling quality. Crafted and evaluated prompts/responses across diverse domains, contributing to RLHF, SFT, ranking, and safety reviews. Performed red-teaming, bias detection, tone/register adjustments, and safety compliance checks, strengthening model reliability. Delivered structured rationales, peer reviews, and QA assessments based on strict rubrics and annotation guidelines. Collaborated with cross-functional global AI teams on multilingual dataset development to enhance model performance and alignment.

Supported large-scale AI/LLM training projects specializing in Hindi and English datasets. Executed text, image, audio, and video data annotation tasks with precision, ensuring linguistic accuracy, cultural nuance, and consistent labeling quality. Crafted and evaluated prompts/responses across diverse domains, contributing to RLHF, SFT, ranking, and safety reviews. Performed red-teaming, bias detection, tone/register adjustments, and safety compliance checks, strengthening model reliability. Delivered structured rationales, peer reviews, and QA assessments based on strict rubrics and annotation guidelines. Collaborated with cross-functional global AI teams on multilingual dataset development to enhance model performance and alignment.

2024

Senior Code Annotation Specialist

LabelboxComputer Code ProgrammingComputer Programming CodingPrompt Response Writing SFT

Reviewed and labeled AI-generated Python and Bash scripts to improve coding model accuracy. Tasks included validating functionality, checking POSIX compliance, and enforcing security best practices like proper quoting and input sanitization. Provided rubric-based annotations and detailed feedback to correct misratings, helping refine training datasets for next-generation AI coding assistants.

Reviewed and labeled AI-generated Python and Bash scripts to improve coding model accuracy. Tasks included validating functionality, checking POSIX compliance, and enforcing security best practices like proper quoting and input sanitization. Provided rubric-based annotations and detailed feedback to correct misratings, helping refine training datasets for next-generation AI coding assistants.

2024

Generalist

LabelboxTextQuestion AnsweringText Generation

Worked on text annotation projects involving classification, entity tagging, and intent labeling. Followed strict guidelines to ensure high accuracy and consistency. Contributed to training datasets for natural language processing (NLP) models.

Worked on text annotation projects involving classification, entity tagging, and intent labeling. Followed strict guidelines to ensure high accuracy and consistency. Contributed to training datasets for natural language processing (NLP) models.

2024

Education

Work History