Model Manager presso Visia

We're seeking a Model Manager to join Visia's delta (Forward-deployed Engineering) team. This is a unique hybrid role that combines data annotation expertise with customer-facing responsibilities. While you'll need strong annotation skills and experience, the majority of your work will focus on quality control of external annotation resources, fixing model issues on the fly that are high-priority for customers by annotating data individually, and direct customer engagement at heavy industrial facilities.

You'll be in constant contact with our most important customers and regularly visit customer facilities, serving as the critical link between our computer vision models' performance in production and the data quality that drives them. If you're passionate about ensuring AI systems work flawlessly in real-world recycling operations and enjoy solving problems alongside customers, this role is for you.

Responsibilities

• Quality Control & Data Management
  • Review and validate annotations completed by external annotation teams for recycling material classification
  • Establish and maintain quality standards for annotation workflows specific to waste stream data
  • Identify patterns in annotation errors and implement corrective processes
  • Train customer teams on proper data collection and labeling practices for their facility's waste streams
• Customer-Facing Model Support
  • Spend significant time at recycling facilities understanding their operational needs
  • Monitor model performance in production environments and proactively identify issues
  • Translate customer feedback into actionable data and model improvements
  • Serve as the primary technical point of contact for model behavior questions
• Cross-Functional Collaboration
  • Work closely with Visia's Machine Learning Engineering (MLE) team to communicate model performance issues discovered in the field
  • Request and spec tooling upgrades based on observations from recycling facility floors
  • Conduct root cause analysis of model errors in CCTV and X-ray detection systems
  • Bridge communication between facility operators and engineering teams

Qualifications

• Required:
  • Previous experience with data annotation and quality control processes
  • Comfortable spending 30-50% of time on customer deliverables and at customer facilities across recycling, cement, steel, and more
  • Strong analytical skills with ability to identify patterns in model behavior
  • Excellent communication skills - able to explain technical concepts to facility operators
  • Self-starter mentality with ability to work independently in industrial environments
• Preferred:
  • Background in IT, computer science, or equivalent professional experience
  • Experience with computer vision or ML model deployment
  • Familiarity with Python and UNIX command line
  • Prior customer support or field engineering experience
  • Knowledge of recycling industry or waste management processes

Benefits

• Competitive salary range: $55,000 - $67,500 annually, plus performance bonuses
• Comprehensive health coverage: Medical, vision, and dental
• Work-life balance: Flexible and unlimited PTO
• Financial planning: 401(k) plan
• Location: Hybrid role based in New York City with strong preference for candidates in the tri-state area
• Professional development: Direct exposure to cutting-edge AI deployment in the circular economy