Applied AI Operations & Product Associate

Schneider InnovationsMonrovia, CA
9h$54,000 - $63,000

About The Position

Schneider Innovations is a fast-growing, AI-driven global enterprise redefining how products are developed, positioned, and marketed across consumer health, medical supplies, and personal protective equipment (PPE) categories. We own multiple international brands distributed throughout North America, and our goal is to build a next-generation AI Product Marketing Lab — where data intelligence, creative strategy, and agile execution converge to shape smarter, faster, and more market-aligned products. Role Summary Own the evaluation and day-to-day performance of AI-driven workflows. This role focuses on interpreting AI outputs, validating whether they are correct in a real business context, and improving them through hands-on technical work. You will act as the bridge between AI systems and business outcomes—ensuring that what the AI suggests is not just technically plausible, but actually makes sense and delivers value.

Requirements

  • Moderate coding ability (Python or similar)
  • Able to write, read, and debug scripts independently
  • Comfortable working with APIs, data structures (e.g., JSON), and basic workflows
  • Strong problem-solving ability (can break down why something is not working or not making sense)
  • Hands-on experience with AI tools beyond casual use
  • Ability to move from problem → solution (not just analysis)
  • Comfortable with challenging outputs and identifying when something is “off”
  • Ability to implement or modify scripts/workflows to test and improve AI behavior
  • Proficiency in Mandarin is a must for this role
  • Ability to critically evaluate AI-generated outputs and recommendations
  • Can assess whether suggested actions or trade-offs are actually valid in real-world scenarios
  • Understands how outputs translate into business impact (e.g., user behavior, efficiency, cost, outcomes)
  • Comfortable questioning assumptions rather than accepting outputs at face value
  • Can distinguish between: technically plausible vs actually correct and useful
  • Able to make judgment calls on what to act on vs what to ignore

Nice To Haves

  • Experience building small AI or automation projects
  • Familiarity with APIs or system integrations
  • Experience working on products/tools used by real users
  • Exposure to analytics, experimentation, or decision-making based on data

Responsibilities

  • Work directly with AI systems (LLMs, workflows, internal tools) in real use cases
  • Interpret AI-generated outputs, recommendations, and trade-offs
  • Evaluate whether outputs are: logically sound, contextually accurate, aligned with business goals
  • Identify when AI outputs are misleading, incomplete, or incorrect
  • Diagnose root causes across: prompt design, data/input quality, workflow/logic structure
  • Implement improvements through: prompt iteration, workflow adjustments, coding (Python / APIs)
  • Test and validate outputs to ensure consistency and reliability
  • Translate business needs into functional AI workflows
  • Prioritize fixes and improvements based on business impact, not just technical correctness
  • Partner with product/engineering to improve system behavior

Benefits

  • The base salary range for this role is $54,000–$63,000, with the final offer determined based on experience and qualifications.
  • Performance-based bonus opportunities.
  • Health, dental, and vision insurance.
  • 401(k) with employer match.
  • Employee discount on company products.
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