Machine Learning Project Coordinator

Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast—and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative.

The Machine Learning Labeling Project Coordinator owns the execution-level alignment between Machine Learning and Data Labeling. This role ensures that labeled datasets delivered to ML teams are ML-ready in terms of quality, consistency, ontology alignment, and scalability. The role operates at the intersection of ML requirements and labeling execution, translating ML needs into actionable, high-quality labeling work.
This is not a generic project manager role. Success is defined by data readiness and quality, not by task completion alone.

• Translate ML requirements into executable and scalable labeling tasks
• Partner with ML stakeholders to define, iterate, and maintain labeling ontologies and guidelines
• Ensure labeled datasets meet ML readiness standards for training, evaluation, and experimentation
• Coordinate labeling capacity and sequencing to support ML roadmaps
• Build and manage domain-specific labeling squads for ML use cases
• Identify data quality risks and misalignment early and drive resolution
• Act as the labeling domain representative in ML-facing discussions

• ML teams receive consistently usable, well-defined labeled datasets
• Ontologies evolve in sync with model and product needs
• Labeling capacity is aligned with ML priorities without quality degradation
• Data issues are surfaced early rather than discovered during model training

• Experience working in data operations, ML-adjacent programs, or labeling environments
• Strong ability to reason about data quality, schemas, and labeling definitions
• Comfortable working with ML or data science teams in technical contexts
• Strong communication skills and ability to challenge requirements constructively
• Experience coordinating complex, time-sensitive projects

• Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically.
• Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years.
• Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category.
• Ownership & Autonomy – Operate like a founder with the resources of a unicorn.
• Global Impact – Every program you launch will reverberate across industries and continents.

Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum.