Kashimana Avaan

Key Skills

Software

Remotasks

Toloka

Appen

Top Subject Matter

AI Model Training

General Content

AI Model Output Quality

Top Data Types

Text

Audio

Top Task Types

Classification

Freelancer Overview

Freelance AI Data Annotator & Evaluator. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, Toloka, and Appen. Education includes Bachelor of Science, Houdegbe North American University (2017) and Diploma, AccountingHub (2024). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Freelance AI Data Annotator & Evaluator

RemotasksTextClassification

As a freelance AI Data Annotator and Evaluator, I annotated and labeled large-scale datasets encompassing text, audio, and images. My work involved ranking and comparing AI responses using strict rubrics for accuracy, relevance, safety, and instruction-following. I maintained consistent labeling quality across high-volume tasks while justifying label choices with clear rationales. • Consistently met tight SLAs and daily quotas while flagging edge cases to improve annotation standards. • Wrote clear rationales to enhance dataset reliability and reviewer agreement. • Ensured high accuracy and attention to detail for data integrity. • Identified ambiguities in guidelines and provided actionable feedback.

As a freelance AI Data Annotator and Evaluator, I annotated and labeled large-scale datasets encompassing text, audio, and images. My work involved ranking and comparing AI responses using strict rubrics for accuracy, relevance, safety, and instruction-following. I maintained consistent labeling quality across high-volume tasks while justifying label choices with clear rationales. • Consistently met tight SLAs and daily quotas while flagging edge cases to improve annotation standards. • Wrote clear rationales to enhance dataset reliability and reviewer agreement. • Ensured high accuracy and attention to detail for data integrity. • Identified ambiguities in guidelines and provided actionable feedback.

2025 - Present

AI Quality Assurance & Content Review Project (Practice-Based)

RemotasksText

Led an AI Quality Assurance & Content Review practice-based project. My responsibilities included reviewing labeled content for errors, inconsistencies, and data quality issues. I provided structured feedback to improve dataset reliability and output clarity. • Conducted quality checks and identified areas for process improvement. • Reviewed team annotations for guideline compliance. • Delivered recommendations to increase dataset accuracy. • Documented findings and improvements for future annotation batches.

Led an AI Quality Assurance & Content Review practice-based project. My responsibilities included reviewing labeled content for errors, inconsistencies, and data quality issues. I provided structured feedback to improve dataset reliability and output clarity. • Conducted quality checks and identified areas for process improvement. • Reviewed team annotations for guideline compliance. • Delivered recommendations to increase dataset accuracy. • Documented findings and improvements for future annotation batches.

2024 - 2024

Data Annotation & Content Labeling Project (Practice-Based)

AppenTextClassification

Completed a Data Annotation and Content Labeling project as practical experience. I performed data labeling and categorization tasks on structured datasets, applying annotation guidelines for consistency and accuracy. My efforts ensured data integrity for downstream analytical and AI objectives. • Collaborated on categorizing content for supervised learning. • Maintained high labeling accuracy in structured data environments. • Followed detailed task instructions to ensure consistent outputs. • Provided quality control checks on labeled records.

Completed a Data Annotation and Content Labeling project as practical experience. I performed data labeling and categorization tasks on structured datasets, applying annotation guidelines for consistency and accuracy. My efforts ensured data integrity for downstream analytical and AI objectives. • Collaborated on categorizing content for supervised learning. • Maintained high labeling accuracy in structured data environments. • Followed detailed task instructions to ensure consistent outputs. • Provided quality control checks on labeled records.

2024 - 2024

AI Response Evaluation & Ranking Project (Practice-Based)

TolokaText

Participated in an AI Response Evaluation and Ranking project as a practice-based assignment. I evaluated structured content using predefined quality criteria, including accuracy, relevance, and consistency. Analytical thinking was applied to compare AI outputs and assure they met quality standards. • Used evaluation rubrics to provide structured feedback. • Analyzed and rated AI-generated content against set standards. • Ensured alignment between guidelines and output quality. • Delivered actionable insights to improve AI model responses.

Participated in an AI Response Evaluation and Ranking project as a practice-based assignment. I evaluated structured content using predefined quality criteria, including accuracy, relevance, and consistency. Analytical thinking was applied to compare AI outputs and assure they met quality standards. • Used evaluation rubrics to provide structured feedback. • Analyzed and rated AI-generated content against set standards. • Ensured alignment between guidelines and output quality. • Delivered actionable insights to improve AI model responses.

2024 - 2024

Education

Work History