Kevin Nunda

Key Skills

Software

Appen

Clickworker

CrowdSource

CVAT

Data Annotation Tech

iMerit

Mindrift

OneForma

Remotasks

Sama

Scale AI

SuperAnnotate

Toloka

Telus

Other

Labelbox

Top Subject Matter

Image Quality Evaluation for AI Models

Video Data Collection for AI/Robotics Training

Multimodal Data Annotation (Text, Audio, Video, Image)

Top Data Types

Image

Text

Video

Document

Top Task Types

Bounding Box

Classification

Data Collection

Segmentation

Translation Localization

Freelancer Overview

AI Image Quality Evaluator. Core strengths include iMerit, N, and A. AI-training focus includes data types such as Image and Video and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Freelance Video Recording Contributor

VideoData Collection

Recorded first-person POV videos for AI and robotics training. Used mobile apps and wearable devices to capture indoor household activities. Ensured videos met visibility, framing, and quality standards. • Uploaded datasets securely for model development. • Followed strict instructions for video clarity. • Maintained high compliance and consistency. • Supported creation of diverse training videos.

Recorded first-person POV videos for AI and robotics training. Used mobile apps and wearable devices to capture indoor household activities. Ensured videos met visibility, framing, and quality standards. • Uploaded datasets securely for model development. • Followed strict instructions for video clarity. • Maintained high compliance and consistency. • Supported creation of diverse training videos.

2026 - Present

Data Labeller

Label StudioImageBounding BoxPolygon

I performed a variety of annotation tasks including bounding boxes for object detection, polygons for irregularly shaped objects, and semantic segmentation for pixel-level classification. I followed complex ontologies to categorize images into specific classes and sub-classes to ensure all data met strict structural requirements. My workflow involved managing multi-step queues, which included initial labeling and conducting reworks based on detailed reviewer feedback.

I performed a variety of annotation tasks including bounding boxes for object detection, polygons for irregularly shaped objects, and semantic segmentation for pixel-level classification. I followed complex ontologies to categorize images into specific classes and sub-classes to ensure all data met strict structural requirements. My workflow involved managing multi-step queues, which included initial labeling and conducting reworks based on detailed reviewer feedback.

2025 - Present

Data Annotation Specialist

OtherVideoClassificationEvaluation Rating

Performed accurate data annotation and labeling tasks across text, audio, video, and image datasets, including comparisons, counting, and object tagging. Ensured quality, accuracy, and consistency by following project-specific guidelines and using the designated client platform efficiently. Complied with all trade requirements, consent forms, and data security protocols while handling sensitive content. Applied strong English language skills to interpret complex instructions, manage workloads effectively, and consistently meet deadlines and productivity targets.

Performed accurate data annotation and labeling tasks across text, audio, video, and image datasets, including comparisons, counting, and object tagging. Ensured quality, accuracy, and consistency by following project-specific guidelines and using the designated client platform efficiently. Complied with all trade requirements, consent forms, and data security protocols while handling sensitive content. Applied strong English language skills to interpret complex instructions, manage workloads effectively, and consistently meet deadlines and productivity targets.

2025

Rater & Quality Evaluator

TelusImageClassificationEvaluation Rating

Evaluated and annotated image datasets to support AI training and computer vision projects. Assessed image relevance and quality, applied accurate labels, and ensured consistency through quality assurance checks. Followed detailed project guidelines, maintained confidentiality, and provided feedback to improve data quality and annotation processes.

Evaluated and annotated image datasets to support AI training and computer vision projects. Assessed image relevance and quality, applied accurate labels, and ensured consistency through quality assurance checks. Followed detailed project guidelines, maintained confidentiality, and provided feedback to improve data quality and annotation processes.

2023 - Present

AI Data Contributor

AppenVideoData Collection

Recorded and submitted short video clips for AI training purposes, supporting the development of computer vision datasets. Followed detailed task guidelines to ensure high-quality and usable data, while complying with Appen’s privacy and weekly deletion policies. Successfully met project requirements by passing the screener, completing the assigned video sets, and maintaining strict confidentiality and data protection standards throughout participation.

Recorded and submitted short video clips for AI training purposes, supporting the development of computer vision datasets. Followed detailed task guidelines to ensure high-quality and usable data, while complying with Appen’s privacy and weekly deletion policies. Successfully met project requirements by passing the screener, completing the assigned video sets, and maintaining strict confidentiality and data protection standards throughout participation.

2023 - 2023

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Education

Work History