Adrians

Key Skills

Software

Appen

Toloka

Top Subject Matter

Education/Curriculum AI

General AI/NLP

General AI/Speech Recognition

Top Data Types

Document

Text

Audio

Top Task Types

Classification

Transcription

Freelancer Overview

Content Curator and Reviewer — SkolnieksAI (Independent Project). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Appen. Education includes Secondary Education, Gulbenes Novada Vidusskola (2026). AI-training focus includes data types such as Document, Text, and Audio and labeling workflows including Classification and Transcription.

Labeling Experience

Content Curator and Reviewer — SkolnieksAI (Independent Project)

DocumentClassification

Curated and structured a content database for an AI learning platform using Latvia's national skola2030 curriculum. Annotated, categorized, and verified hundreds of source documents for use in AI-driven educational applications. Applied structured review, topic labeling, and grade-level classification to ensure high data quality and accuracy. • Performed detailed annotation of curriculum materials by topic and grade level • Ensured consistency between official curriculum and AI outputs through careful review • Tagged and categorized educational documents for downstream machine learning • Coordinated with the National Centre for Education for compliance and documentation

2026 - Present

AI Audio Transcription Contributor — CrowdGen/Appen

AppenAudioTranscription

Transcribed and annotated audio data for AI training on platforms including CrowdGen/Appen. Followed strict formatting guidelines and handled edge cases as part of audio transcription tasks with quality control. Achieved 100% accuracy on audio transcription qualification, demonstrating expertise in audio data annotation. • Completed transcription of short-form audio clips for language model training • Applied rigorous formatting and annotation rules as dictated by platform standards • Managed quality assurance steps for transcribed audio before submission • Used browser-based tools to efficiently process and label large audio datasets

2025 - Present

AI Training Data Contributor — CrowdGen/Appen, Toloka UHRS, Mindrift

AppenTextClassification

Performed annotation and labeling tasks on text data, document review, and classification for AI training across CrowdGen/Appen, Toloka UHRS, and Mindrift. Applied detailed, platform-specific guidelines to ensure high accuracy and proper handling of all labeling tasks. Processed high volumes of text for use in AI and language models, maintaining exceptional quality as demonstrated by a 100% qualification score. • Classified and annotated documents and text content using rubric-driven workflows • Adhered to detailed annotation instructions for different AI platforms • Escalated ambiguous or unclear items instead of guessing, ensuring data quality • Worked with browser-based annotation interfaces for efficient labeling

2025 - Present

Education

Work History