For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
S
Samir S.

Samir S.

AI Trainer & LLM Evaluator

India flagChennai, India

Key Skills

Software

No software listed

Top Subject Matter

| Area | Why | Evidence |
| ------------------------------------------------- | -------------------------------------------------------------- | ----------------------------------------------- |
| **AI/ML & Conversational AI** | Built FlowCore AI
agent orchestration
prompt engineering | 70.6% automation rate

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
SegmentationSegmentation
ClassificationClassification
Question AnsweringQuestion Answering
Text GenerationText Generation
Object DetectionObject Detection

Freelancer Overview

I have hands-on experience training and evaluating AI systems through my work on FlowCore AI, where I labeled and categorized 133+ customer support conversations to achieve a 70.6% automation rate — reviewing AI outputs for intent classification, sentiment accuracy, escalation triggers, and response quality. I also built structured annotation frameworks for tracking automation metrics and human escalation patterns. Through Umbraa, I created labeled security datasets for vulnerability classification (CVSS scoring, severity levels, exploitability) and performed AI red teaming to identify unsafe agent behaviors, hallucinations, and jailbreak vulnerabilities. My experience spans text, structured data, and multimodal labeling across customer service, cybersecurity, and content automation domains. I'm certified by Anthropic Academy (Claude 101 & AI Fluency, both 100%) and trained in prompt engineering, LLM evaluation, and responsible AI deployment.

Labeling Experience

FlowCore AI (Jan 2026–Present): Manually reviewed, labeled, and categorized 133+ customer support conversations for inte

FlowCore AI (Jan 2026–Present): Manually reviewed, labeled, and categorized 133+ customer support conversations for intent classification, sentiment analysis, escalation triggers, and response quality. Created structured datasets that directly trained the AI to achieve a 70.6% automation rate. Evaluated AI-generated responses for accuracy, tone, safety, and relevance — providing structured feedback for model improvement. Umbraa (2026): Created labeled security datasets for vulnerability classification (CVSS scoring, severity levels, exploitability). Performed AI red teaming — testing autonomous agents for unsafe behaviors, hallucinations, and jailbreak vulnerabilities. Built structured annotation frameworks for security findings. Independent Projects (Oct 2025–Present): Built web scraping agents with automated data cleaning and labeling pipelines. Created labeled datasets for YouTube content categorization, video subtitle timing, and music mood matching.

Not specified

Education

S

SA Engineering College — BTech in Computer Science and Business Systems (CSBS), 2025–2029 Anthropic Academy Claude 101 (

Degree not specified

Not specified
Not specified

Work History

C

Company not specified

FlowCore AI — AI Trainer & Data Labeler Jan 2026 – Present Trained and evaluated AI customer service agents by manually

Location not specified
2026 - Present