Kehshan A.

Key Skills

Software

Appen

iMerit

Other

OneForma

Telus

Remotasks

Micro1

Label Studio

Clickworker

Top Subject Matter

LLM response evaluation

human preference evaluation

conversational quality assurance.

Top Data Types

Document

Text

Image

Audio

Top Task Types

Classification

Segmentation

Object Detection

Text Generation

Question Answering

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Text Summarization

Bounding Box

Freelancer Overview

AI Evaluation Specialist & Quality Analyst at ONEFORMA (IME RITPAY/APPEN). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OneForma. Education includes Master of Business Administration, Chandigarh University and Bachelor of Business Administration, University of Lucknow. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Data Annotation & Quality Analyst (Image & UX evaluation) at APPEN | iMeritPay | OneForma

OtherImage

Carried out image and UX satisfaction evaluations to measure visual relevance and user experience alignment. Applied guideline-driven criteria to validate satisfaction signals and identify misalignment or edge cases affecting model behavior. Produced consistent evaluation outputs suitable for quality audits and continuous improvement. • Completed 3,000+ image & UX satisfaction evaluations • Assessed visual relevance and UX intent alignment • Performed logical validation against task-specific guidelines • Supported audit-ready quality checks for multimodal datasets

2025 - Present

AI Data Annotation & Quality Analyst (Audio evaluation) at APPEN | iMeritPay | OneForma

OtherAudio

Performed large-scale audio evaluation tasks focused on speech clarity, pronunciation, emotional tone, and background noise analysis. Followed recording-based guidelines to identify edge cases and ensure consistent scoring across multilingual content. Provided structured feedback and validation to maintain high data quality for downstream model performance. • Completed 4,000+ audio evaluation tasks (en_IN) including tone and noise checks • Evaluated speech clarity and pronunciation consistency • Conducted multilingual evaluation for Hindi/Urdu tone • Used guideline-based validation to flag issues and support quality audits

2025 - Present

AI Data Annotation & Quality Analyst (LLM evaluation and guideline-based rating) at APPEN | iMeritPay | OneForma

OneFormaText

Evaluated 10,000+ AI-generated outputs using structured quality frameworks for LLM response quality. Assessed responses for factual accuracy, relevance, clarity, completeness, tone, and alignment with user intent, and performed comparative ranking and human preference evaluations. Produced structured justifications and detailed feedback to support AI model training and performance improvements and to ensure consistent guideline-based decisions across task categories. • Conducted comparative response analysis and preference-based quality decisions. • Reviewed AI conversations and bot responses for helpfulness, conversational flow, and instruction adherence. • Applied complex evaluation guidelines while maintaining accuracy and consistency. • Delivered quality insights and feedback for model iteration and optimization.

2025 - Present

Data Labelling Expert

ImageSegmentation

Reviewed and evaluated AI-generated responses for accuracy, relevance, and adherence to guidelines. Compared multiple outputs, identified errors, and ensured content quality through structured annotation and feedback. Maintained high consistency while working on large datasets and followed detailed project instructions to support AI model improvement.

2026 - 2026

Quality Intern

DocumentClassification

Evaluated and analyzed a large volume of educational documents for content accuracy and relevance prior to their database upload. Regularly conducted quality checks to uphold high content standards and ensure the information provided was both precise and relevant for students. Reviewed curriculum-aligned educational materials to assess their clarity, coherence, and student engagement potential. • Performed document reviews for accuracy and content classification. • Maintained a high accuracy rate through diligent analysis and prompt reporting of discrepancies. • Contributed targeted feedback to enhance the usability and effectiveness of educational content. • Focused work on digital educational resources, improving content quality for a better learning experience.

2022 - 2022

Education

Work History