d
designer_dpearl

Dennis M

@designer_dpearl
5,0(9)

Level 1

AI and research data annotation specialist

Quênia
Inglês, Suaíli
Algumas informações são exibidas no idioma inglês.
Sobre mim
I’m Dennis Wachira, a specialist in image, video, LiDAR, and text annotation for AI development and structured research. I provide accurate labeling for object detection, segmentation, sentiment tagging, classification, behavior tracking, and 3D point-cloud annotation. I also assist with data coding, dataset organization, and quality control in formats such as COCO, YOLO, CSV, and JSON. If you need a reliable human-in-the-loop partner for clean, consistent datasets, I’m here to help.... Saiba mais

Habilidades

d
designer_dpearl
Dennis M
US$ 12/hora
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Anotação e marcação de dados
I will annotate and track objects in videos for ai training
5,0(4)
Testes com Usuário
I will professionally test your android and PC games or programs for flaws and bugs
5,0(3)

Quer trabalhar com remuneração por hora?

Diga a Dennis M o que você precisa.

US$ 12

/

hora

Portfólio

Experiência profissional

Remotasks

Lidar annotator

Remotasks • Freelance

Dec 2018 - Present7 yrs 5 mos

I work as a LiDAR Annotator at Remotasks, where I specialize in annotating and labeling LiDAR point cloud data for autonomous driving and machine learning projects. My responsibilities include accurate 3D object annotation (vehicles, pedestrians, cyclists, road features), semantic segmentation, and quality control to ensure high-precision datasets. I follow strict project guidelines, meet tight deadlines, and maintain consistent annotation accuracy to support the development of reliable AI and computer vision models.

Expert Annotator

Toloka Annotators (Mindrift) • Freelance

Apr 2024 - Dec 20251 yr 8 mos

I worked as an Expert Annotator at Toloka Annotators (Mindrift), contributing to multiple advanced text annotation and AI evaluation projects. My work included large-scale text annotation, prompt evaluation, and response comparison for AI systems. I was a key contributor to the major AI prompt rating project “Computer-Use Agent Preferences,” where we trained a computer-use agent by evaluating multiple outputs, selecting the best response, and providing detailed reasoning for each decision. Due to consistently high accuracy and quality, I was promoted to Computer-Use Agent Preferences QA, where I reviewed annotator work, ensured guideline compliance, maintained annotation consistency, and upheld overall data quality standards for the project.

9 Avaliações
5,0

(9)
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Classificação detalhada
  • Nível de comunicação do freelancer
    5
  • Qualidade da entrega
    5
  • Valor da entrega
    5
1-5 fora das 9 avaliações
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