Rajat S.

Key Skills

Software

Other

Top Subject Matter

AI model training data quality

prompt dataset validation

annotation QA

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Tracking

Freelancer Overview

Data Annotation and AI Research professional with 1 year and 9 months of experience in data labeling, quality assurance, and AI model evaluation. Experienced in reviewing and annotating large-scale datasets while evaluating AI-generated outputs for factual accuracy, hallucinations, completeness, policy compliance, relevance, and overall response quality. Skilled in identifying patterns, validating data, and ensuring annotation consistency to improve AI model performance.

Labeling Experience

Associate Research Analyst

TextPrompt + Response Writing (SFT)

Supported market analysis and competitive research to inform business strategy and product decisions. Performed large-scale review of prompts and model outputs to detect quality issues and improve reliability. Built dashboards and structured reports to track KPIs and annotation quality for stakeholders. • Conducted secondary research on market trends, competitor strategies, and industry developments. • Reviewed 5,000+ prompts and responses to identify patterns, inconsistencies, and improvement opportunities. • Developed KPI dashboards and reporting artifacts that reduced manual reporting effort by 30%. • Collaborated with cross-functional teams to translate business requirements into data-driven recommendations.

2024 - 2026

Associate Analyst

TextEvaluation/Rating

Contributed to AI model support workflows by performing data review and quality checks to ensure training readiness. Conducted validation of datasets and reports to maintain accuracy, consistency, and overall output quality. Delivered customized insights based on prompt patterns to support continuous improvement of model performance. • Reviewed and validated large volumes of data to support AI model training and enhance workflow efficiency. • Performed detailed quality checks to ensure dataset and report accuracy and consistency. • Identified patterns in prompt data and provided tailored insights for model performance improvements. • Supported data validation and reporting processes aligned with business needs.

2024 - 2024

Education

Work History