Akumator K.

Key Skills

Software

Remotasks

Other

CVAT

Data Annotation Tech

iMerit

Mercor

Toloka

Clickworker

Top Subject Matter

Natural Language Processing (NLP)

Dataset Preparation for AI/ML

NLP Annotation Practice

Top Data Types

Text

Image

Medical Dicom

Top Task Types

Classification

Data Collection

Text Generation

Text Summarization

Question Answering

Freelancer Overview

Freelance AI Task Contributor / Research Assistant. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, OneForma, and Other. Education includes Bachelor of Science, College Health Technology Mkar (2026). AI-training focus includes data types such as Text and labeling workflows including Classification and Data Collection.

Labeling Experience

Freelance AI Task Contributor / Research Assistant

RemotasksTextClassification

As a Freelance AI Task Contributor and Research Assistant, I performed diverse annotation tasks focused on natural language data. My work involved text classification, sentiment labeling, content categorization, and evaluation of AI-generated outputs using detailed guidelines. I ensured high-quality output with strong consistency and adherence to project requirements. • Conducted classification, sentiment, and content labeling on varied text data following complex protocols. • Evaluated AI responses for accuracy, relevance, safety, and coherence and provided RLHF feedback. • Maintained strict compliance with guidelines and minimized error rates across assignments. • Synthesized research data into structured summaries to support AI model training.

2023 - Present

Data Entry & Quality Control Assistant

OneFormaTextData Collection

In my role as a Data Entry & Quality Control Assistant on OneForma, I validated and prepared large datasets for downstream analysis and AI usage. I ensured standardized formats, removed inconsistencies, and followed strict confidentiality protocols. This experience provided a solid foundation for high-quality dataset preparation for subsequent annotation or AI tasks. • Processed large volumes of text data for accuracy and quality control. • Standardized and formatted raw datasets for machine learning applications. • Conducted systematic checks to reduce errors in training datasets. • Adhered to best practices in data privacy and handling.

2022 - Present

NLP Annotation Practice – Self-Directed Project

OtherTextClassification

Through my NLP Annotation Practice, I completed self-directed projects involving advanced text annotation. I practiced intent, sentiment, and classification labeling, as well as ranking of multiple AI-generated output responses. This hands-on annotation provided a practical understanding of detailed labeling schemas used in natural language AI model development. • Labeled text data for classification, sentiment, and intent. • Ranked AI-generated responses according to quality metrics like helpfulness and clarity. • Developed proficiency with annotation guideline interpretation. • Gained foundational experience directly applicable to professional annotation roles.

2023 - 2023

Education

Work History