Mayurakshi S.

Key Skills

Software

Other

Top Subject Matter

LLM outputs

creative content

Marketing Domain Expertise

Top Data Types

Text

Image

Document

Top Task Types

Segmentation

Freelancer Overview

AI Trainer & Evaluator | Prompt Engineer | Content Quality Reviewer. Brings 10+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Certificate, N/A (2026) and Certificate, Google (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Translation.

Labeling Experience

Certified Bengali–English Medical Interpreter | AI Multilingual Evaluator

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As a certified Bengali–English Medical Interpreter, I provide real-time translations for medical, legal, and emergency contexts using advanced language skills. My expertise translates into high-quality multilingual evaluation and annotation applicable to AI output assessment. Strict terminology standards and linguistic precision are inherent parts of every session. • Conduct cross-language output evaluation and translation quality review for medical and legal data. • Ensure data labelling meets accuracy and cultural competency standards in English, Bengali, and Hindi. • Provide input for AI multilingual evaluation and professional output assessment. • Maintain context-appropriate linguistic nuance essential in sensitive domains.

2025 - Present

AI Trainer & Evaluator | Prompt Engineer | Content Quality Reviewer

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As an AI Trainer & Content Evaluator, I generated, evaluated, and refined AI outputs using large language models and generative AI tools daily. My work consistently involved output evaluation, RLHF-style feedback, thorough prompt engineering, and structured assessment across diverse professional domains. I integrated creative, marketing, and technical expertise into comprehensive qualitative feedback vital for LLM training and human-AI collaboration. • Evaluated AI outputs for accuracy, tone, safety, helpfulness, and adherence to instruction using Claude, ChatGPT, Gemini, and other leading tools. • Applied prompt engineering with methods such as chain-of-thought, few-shot, and system prompt design to improve model performance. • Contributed structured RLHF annotation, rating, and preference ranking across various LLM use cases. • Continuously tested and provided feedback as new models and features were released.

2022 - Present

Customer Service Representative — Apple Technical Support (AI Evaluation Related)

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As a Customer Service Representative using high-volume technical support, I evaluated conversational quality and issue resolution for AI-driven customer service systems. My duties included using CRM platforms, analyzing interaction data, and applying structured annotation practices to improve service bots. Technical proficiency and data accuracy were central throughout support workflows. • Conducted structured annotations and quality reviews for customer service AI conversations. • Provided model feedback on escalation, resolution logic, and script optimization. • Used CRM and documentation tools for data entry, evaluation, and audit purposes. • Tested conversational AI features with real-time customer data for improved outcomes.

2024 - 2024

Education

Work History