Bogdan Kovalov

Key Skills

Software

Labelbox

Remotasks

Telus

Scale AI

Playment

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Video

Top Task Types

Evaluation Rating

Prompt Response Writing SFT

Question Answering

RLHF

Freelancer Overview

I am an experienced AI data annotator and training specialist with hands-on expertise in text, audio, image, and video labeling across diverse domains. My background includes contributing to large-scale projects such as warehouse safety video annotation, event segmentation, and action labeling for industrial environments. I also have experience in natural language processing (NLP) tasks, including prompt/response evaluation, dialogue annotation, and reinforcement learning with human feedback (RLHF) for large language models. In addition to annotation, I bring a strong technical foundation from my DevOps and cloud engineering background, which enables me to quickly learn new labeling tools, follow complex guidelines, and maintain accuracy under tight deadlines. My attention to detail, ability to break down multi-step events, and experience with structured data workflows make me well-suited for projects requiring precision and consistency. I am excited to contribute my skills to training AI systems that power safer automation, more accurate computer vision models, and smarter language technologies.

Labeling Experience

Warehouse Safety Video Captioning – Forklift & Worker Annotations

PlaymentVideoSegmentation

Worked on annotating warehouse safety videos. Tasks included writing dense captions for individual worker and forklift actions, generating global captions to summarize overall activity, and ensuring adherence to strict guidelines on banned words, single-action focus, and actor-based splitting. Maintained high accuracy while managing large volumes of data for AI model training and validation.

Worked on annotating warehouse safety videos. Tasks included writing dense captions for individual worker and forklift actions, generating global captions to summarize overall activity, and ensuring adherence to strict guidelines on banned words, single-action focus, and actor-based splitting. Maintained high accuracy while managing large volumes of data for AI model training and validation.

2022 - 2025

Remotasks – Data Annotation & Quality Evaluation

Scale AIImageBounding BoxPolygon

Contributed to multiple annotation projects on the Remotasks platform, focusing on training data for autonomous driving systems, AI model fine-tuning, and e-commerce product tagging. Tasks included bounding box and polygon annotations for object detection in video frames, semantic segmentation for lane/road feature extraction, and text classification for natural language processing. Ensured high accuracy by following detailed project guidelines, maintaining annotation consistency, and performing peer quality checks. Collaborated in scaling datasets used for training perception and language models.

Contributed to multiple annotation projects on the Remotasks platform, focusing on training data for autonomous driving systems, AI model fine-tuning, and e-commerce product tagging. Tasks included bounding box and polygon annotations for object detection in video frames, semantic segmentation for lane/road feature extraction, and text classification for natural language processing. Ensured high accuracy by following detailed project guidelines, maintaining annotation consistency, and performing peer quality checks. Collaborated in scaling datasets used for training perception and language models.

2021 - 2022

Education

Work History