Developer of a decentralized platform for Artificial Intelligence robotics designed to provide human movement data. Backed by Kindred Venture Capitals.
About the role
Our dataset is valuable only to the extent that it is authentic, complete, and operationally usable across all machine learning and operational workflows. We maintain and continuously evaluate data quality through a rigorous hybrid approach combining models with verification. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience: 5 to 8+ years of progressive operational leadership experience managing large-scale review, merchant, trust and safety, community, or data quality operations in high-growth environments
- Quality programmes: Demonstrated track record of architecting comprehensive quality control frameworks from scratch, including balanced scorecards, statistical sampling techniques, cross-team calibration sessions, and targeted coaching loops
- Analytical skills: Exceptional analytical acumen with proficiency in building operational dashboards, writing SQL queries, modelling unit economics, and communicating complex statistical performance data effectively with AI/ML engineers
- Industry: Direct experience in merchant operations, content moderation, or onboarding at a top-tier marketplace, hyper-local logistics, or delivery platform operating across Southeast Asia or international markets
- Vendors: Hands-on experience procuring, negotiating, and managing third-party BPO vendor relationships, setting up vendor SLAs, and running quarterly business reviews
- Data quality: Deep familiarity with computer vision data collection, video stream evaluation, bounding-box/semantic segmentation annotation pipelines, or synthetic data training setups
More about this role
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Our dataset is valuable only to the extent that it is authentic, complete, and operationally usable across all machine learning and operational workflows. We maintain and continuously evaluate data quality through a rigorous hybrid approach combining models with verification.
In this role, you will build, scale, and lead our global review operations organization, taking full operational accountability for critical quality and performance metrics including review coverage, multi-pass accuracy, reviewer throughput, SLA compliance, and unit economics/cost management. You will establish robust, continuous feedback loops connecting local merchants, external BPO partners, field capture teams, and executive management to drive dataset standards. Serving as the operational partner...
Browse similar: Startup jobs