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Mecka AI

Labeled human movement data for AI

Hardware – Mechanical Engineer

Design EngineeringConfirmed live in the last 24 hours
Full-timeCA$140k - CA$160k /yrHybrid

About the Job

Requirements

  • Three to four years of experience in mechanical engineering.
  • Proficiency in 3D computer-aided design, such as SolidWorks or Onshape, and the ability to produce clear engineering drawings.
  • Understanding of mechanics, materials, tolerances, fits, fasteners, and dimensional inspection.
  • Hands-on experience building prototypes and testing physical assemblies.
  • Knowledge of manufacturing processes such as machining, molding, sheet metal, or additive manufacturing.
  • Ability to package electronics and sensors with assembly, thermal behavior, and maintenance in mind.
  • Experience working with suppliers to resolve part quality, manufacturability, and cost issues.

Responsibilities

  • Design mechanical systems that support accurate recording and can be assembled, maintained, and manufactured efficiently.
  • Build and test prototypes to improve fit, weight distribution, stiffness, and ease of use.
  • Analyze tolerances, loads, and sensor alignment, and validate key assumptions with physical measurements.
  • Partner with electrical and sensor engineers on packaging, thermal paths, cable routing, and service access.
  • Review parts with suppliers and refine designs using assembly results, reliability testing, and field feedback.
  • Own mechanical designs from concept and prototypes through validation and production.

Desired Qualifications

  • Experience with wearable products, robot end effectors, handheld mechanisms, or precision sensor mounts.
  • Experience with flexible materials, thermal analysis, or fatigue and durability testing.

About the Company

Mecka AI

Labeled human movement data for AI

Mecka AI builds custom, labeled datasets of human movement by recording people performing specific tasks and analyzing the video to create multimodal data for AI and robotics training. Its offerings are data-as-a-service: bespoke, high-quality video data that is anonymized, meticulously annotated, and ready for direct ingestion into machine learning models. The company differentiates itself with a global, on-demand data-collection network and task-focused labeling to supply precise, task-specific datasets for autonomous systems, including humanoid robotics partners. Its goal is to accelerate the development and deployment of embodied AI and autonomous technologies by providing scalable, ready-to-use movement data.

Company size
51-200
Company stage
Series B
Total funding
$120M
Headquarters
New York City, New York
Founded
2025

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