Олександр

Oleksandr Smutniak
Kamianets-Podilskyi, Ukraine, [открыть контакты](см. выше в блоке «контактная информация»)

E-mail: [открыть контакты](см. выше в блоке «контактная информация»)

LinkedIn: LinkedIn

Data Labeling SpeciAIist / AI Training &
Annotation
SUMMARY: Detail-oriented AI Data Specialist with nearly 3
years of experience in high-complexity AI training and
Multimodal data annotation. Expert in 3D Body Node
Segmentation (BNS), Human Pose Estimation, and detailed
text-based action description for Tier-1 tech companies
(e.g., Snap). Strong background in RLHF, text-to-video
evaluation, and handling complex edge cases. Seeking text-
based AI alignment and reasoning roles to leverage my
analytical skills and English proficiency.

TECHNICAL SKILLS:
Data Annotation: Bounding Boxes, Response Rewriting,
Semantic and Polygonal Segmentation, Supervised Fine-
Tuning (SFT) Data Prep, Object Detection, Text-to-Video
verification, Model Ranking, AI Alignment, Prompt
Evaluation, Data Tagging, Action Description, Human
Behavior Labeling, RLHF, AI Hallucination Identification &
Correction, Ground Truth Creation, Vision-Language Model
(VLM) Alignment.
Tools: Google Workspace, Data Annotation Platforms,
Snap LBLR, Label Studio, 3D Annotation Software.

Core Competencies: High typing speed, Technical
documentation analysis, Image and video description,
Attention to detail, Complex edge case analysis, Spatial
reasoning, English-language content generation.

SOFT SKILLS:
Adaptability: Fast learner, capable of quickly mastering
new annotation tools and evolving project requirements.

Time management: Proven ability to handle high-volume
tasks and consistently meet tight daily deadlines.

Self-Discipline & Reliability: Highly organized while
working remotely or in a hybrid environment, ensuring zero
downtime.

High Precision & Accuracy: Strong focus on maintaining
high accuracy in semantic segmentation and object
detection.

PROFESSIONAL EXPERIENCE:
Project Data Annotator | Label Your Data | April
2026 – Present

 Performed high-precision data annotation and
semantic labeling within 3D environments using Label
Studio.
  Specialized in complex action recognition tasks,
providing detailed English-language descriptions of
human movements and actor behaviors to train
computer vision models.
 Executed polygonal segmentation and object tracking
with a focus on maintaining high quality and strict
metadata consistency.
 Collaborated with project managers to refine
annotation guidelines and ensure 100% accuracy in
describing diverse human-centric scenarios.
 Analyzed complex edge cases in human behavior,
writing highly detailed, structured English prompts and
descriptions to improve the model's spatial reasoning
and action recognition capabilities.

Data Tagger (Trainee) | MaterialSpace (Remote) |
March 2026
 Annotated architectural drawings and floor plans,
focusing on precise identification of kitchen and
bathroom furniture.
 Identified and tagged objects according to ADA
standards, ensuring compliance with accessibility
requirements for furniture and fixtures.
 Mastered complex technical instructions and strict
ADA guidelines, demonstrating strong analytical skills
and the ability to adapt to highly specific domain
knowledge.
Data Labeling Specialist | ML Platform Department |
Snap (Remote) January 2025 – March 2026
 Annotated complex video datasets for AI model training
using Bounding Boxes, Polygonal, and Semantic
Segmentation.
 Evaluated and ranked text-to-video generation outputs
based on prompt alignment, visual fidelity, and logic.
Applied RLHF methodologies and provided corrective
feedback to refine generative model performance.
 Identified and corrected AI hallucinations in Vision-
Language Models (VLMs) by rewriting inaccurate
generated text to ensure perfect alignment with
complex video content.
 Authored high-quality Ground Truth data and performed
Response Rewriting for Supervised Fine-Tuning (SFT),
directly improving the model's accuracy, spatial
reasoning, and contextual understanding.
 Bridged the gap in Multimodal AI training by aligning
visual datasets with precise, nuanced textual metadata,
strictly following complex project taxonomies.

Content Annotator | Dean LLC (Remote) October 2023 –
January 2025
 Created detailed English-language descriptions for
image and video assets.
 Ensured consistency and linguistic accuracy in
metadata for international clients.
EDUCATION:
Kamianets-Podilskyi Ivan Ohienko National University
Bachelor’s Degree in Secondary Education (English
Language & Literature) Graduation: 2025

LANGUAGES
English: Upper-Intermediate (B2).
Ukrainian: Native.