Akhil K.

Key Skills

Software

iMerit

Top Subject Matter

AI Data Annotation • Data Labeling • Quality Assurance • AI Evaluation • Content Review • Search Quality • Prompt Evaluation • RLHF • Text, Image & Multimodal Annotation

Top Data Types

Image

Top Task Types

RLHF

Entity (NER) Classification

Classification

Freelancer Overview

AI Data Annotation and Quality Evaluation professional with hands-on experience contributing to AI training projects through accurate data annotation, quality review, and AI output evaluation. Experienced in evaluating AI-generated content by following detailed annotation guidelines, identifying inconsistencies, and maintaining high-quality standards. Successfully completed 2,000+ AI-generated image evaluations with 95%+ annotation accuracy, demonstrating strong analytical thinking, attention to detail, and consistent decision-making. Eager to contribute across image, text, audio, video, search relevance, chatbot evaluation, content moderation, and other AI data annotation workflows. Adaptable, quick to learn new annotation guidelines, and committed to producing reliable, high-quality training data for AI and machine learning systems.

Labeling Experience

AI Image Evaluation Contributor — iMerit (AI Data Project)

iMeritImage

You evaluated AI-generated images by comparing multiple model outputs to the provided natural language prompts. You selected the best image based on prompt adherence, visual quality, relevance, and overall generation quality. You applied strict guidelines to consistently judge outputs, detect errors, and handle edge cases requiring careful review. • Compared 2,000+ images against prompts and evaluated output quality across multiple criteria • Identified inconsistencies, visual artifacts, incorrect object relationships, and prompt mismatches • Maintained 95%+ annotation accuracy while meeting productivity expectations • Recorded evaluation decisions using a proprietary AI annotation platform

2026 - 2026

AI Image Evaluation Contributor - iMerit

ImageRLHFEntity (NER) Classification

Worked as an AI image evaluation contributor to compare AI-generated images against natural language prompts and select the best match. Ensured high-quality judgments by following detailed evaluation guidelines and identifying inconsistencies or visual artifacts. Maintained accuracy and productivity expectations while documenting decisions in a proprietary evaluation platform.• Evaluated 2,000+ AI-generated images against prompt adherence and visual relevance.• Selected the most accurate output based on quality, relevance, and overall generation factors.• Reviewed results for incorrect object relationships, artifacts, and prompt mismatches.• Documented evaluation decisions and handled edge cases with careful quality judgment.

2025 - 2025

Education

Work History