Erm Maina

Key Skills

Software

Scale AI

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Video

Top Label Types

Action Recognition

Classification

Data Collection

Emotion Recognition

Evaluation Rating

Object Detection

Question Answering

Text Generation

Text Summarization

Tracking

Freelancer Overview

I am an AI Data Labeler and LLM Evaluation Specialist with experience reviewing, ranking, and annotating training data for large language models. My work focuses on evaluating AI-generated responses for accuracy, relevance, safety, and instruction adherence using structured rubrics. I adopt a user-centered mindset to create realistic prompts and assess outputs in ways that reflect real-world use cases. I have contributed to multiple AI training workflows involving text classification, response comparison, content moderation, and edge case identification. What sets me apart is my strong analytical reasoning, attention to detail, and ability to provide clear written justifications for evaluation decisions. With a background in research and editorial review, I am skilled at identifying logical inconsistencies, factual errors, and nuanced reasoning gaps in model outputs. I consistently prioritize quality, accuracy, and policy compliance while maintaining efficiency across high-volume annotation tasks.

Labeling Experience

AI Data Labeler / LLM Evaluator

Scale AITextText GenerationEmotion Recognition

In this role, I evaluated and ranked large language model (LLM) outputs according to established guidelines. I performed data annotation of text, including categorization, safety assessment, and relevance tagging. My responsibilities also included detailed feedback provision to enhance training data quality. • Conducted logical accuracy checks and policy compliance reviews • Labeled text for instruction adherence and fact-checking • Identified inconsistencies and instruction-following failures • Utilized structured evaluation rubrics for consistent task performance.

In this role, I evaluated and ranked large language model (LLM) outputs according to established guidelines. I performed data annotation of text, including categorization, safety assessment, and relevance tagging. My responsibilities also included detailed feedback provision to enhance training data quality. • Conducted logical accuracy checks and policy compliance reviews • Labeled text for instruction adherence and fact-checking • Identified inconsistencies and instruction-following failures • Utilized structured evaluation rubrics for consistent task performance.

2023

Education

Work History