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Mecka AI is building the data infrastructure layer for robotics and embodied AI. The company designs and operates 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.
In this role, you will build, scale, and lead the 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 to quality engineering and machine learning teams, you will ensure operational insights directly inform, calibrate, and improve automated models, annotation workflows, and field capture guidelines.
Key responsibilities include: leading and scaling a high-volume review and approval organization encompassing internal teams and vendor partners; hiring, developing, and coaching operational team leads; establishing clear performance management frameworks; managing headcount, shift scheduling, and operational budgets to optimize unit economics; taking end-to-end ownership of review coverage, SLA adherence, reviewer throughput, and multi-tier accuracy; designing and executing regular calibration sessions, inter-annotator agreement audits, and QA reporting; defining and enforcing merchant approval workflows, automated pre-payout verification checks, and merchant compliance standards; publishing weekly quality scorecards and establishing structured feedback loops with sales, account management, and business development teams; partnering closely with data engineering, product, and AI research teams to embed evaluation insights into model training; and leading operational protocol and response frameworks when fraud, data tampering, or platform integrity issues are detected.
REQUIREMENTS:
- 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
- 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
- Exceptional analytical acumen with proficiency in building operational dashboards, writing SQL queries, modeling unit economics, and communicating complex statistical performance data effectively with AI/ML engineers
PREFERRED QUALIFICATIONS:
- 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
- Hands-on experience procuring, negotiating, and managing third-party BPO vendor relationships, setting up vendor SLAs, and running quarterly business reviews
- Deep familiarity with computer vision data collection, video stream evaluation, bounding-box/semantic segmentation annotation pipelines, or synthetic data training setups
