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Mecka AI

Labeled human movement data for AI

Hardware Technical Program Manager - Capture

Program ManagementUpdated on Nov 13
Full-timeCA$140k - CA$170k /yrHybrid

About the Job

Requirements

  • Experience delivering technical programs that combine hardware, software, and field operations.
  • Ability to build practical schedules, map dependencies, and resolve technical blockers across teams.
  • Understanding of sensor data, calibration, synchronization, and common recording failures.
  • Skill in analyzing throughput, quality, capacity, and cost using spreadsheets, queries, or scripts.
  • Ability to inspect recordings and diagnostic logs and verify that a fix works.
  • Clear written communication, including operating procedures, technical decisions, and realistic delivery forecasts.

Responsibilities

  • Turn dataset requirements into capture programs with clear quality standards, capacity plans, and delivery milestones.
  • Own program readiness and delivery across device availability, operator training, recording capacity, and data review.
  • Plan and validate pilot captures before expanding operations.
  • Investigate data-quality issues with engineering and operations teams, and verify that corrective actions work.
  • Use measured capacity and data acceptance rates to forecast delivery, identify risks, and adjust the plan.

Desired Qualifications

  • Experience with robotics datasets or recording programs involving several sensor types.
  • Experience improving operator workflows or automating data-quality checks.

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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