Why this role exists (read this first)

Instawork Robotics Labs is a new initiative within Instawork.

We work with the world’s leading robotics and AI labs to collect, manage, and deliver high-quality training data at scale - using a worker network of 10M+ professionals across the US and six countries. This is early. This is foundational. What we build now will define the next decade of robotics.

What you’ll actually do

You will own the product direction and execution for our suite of products powering robotics data collection and management. That means:

• Data collection app
• Building a global product which allows our pros to collect high quality videos
• Collecting all possible kinds of metadata along with these videos
• Building payments+QA infra to ensure pros get fairly rewarded for great work.
• Data QA and management platform
• Building a robust QA tool following the best practices
• Make it scalable to be crowdsourceable to our pros.
• Measure data quality across multiple parameters and benchmark model performance against each of them
• Sitting at the intersection of research and reality
• Working closely with ML Researchers, Engineers, and Data teams
• Translating model breakthroughs into usable, reliable systems
• Driving execution across complex systems
• CV pipelines, data workflows, training loops, and inference infra
• Research, applied ML, infra, and business teams moving in lockstep
• Influencing long-term AI strategy
• Partnering with leadership to shape where we invest - and where we don’t
• Ensuring product decisions compound over time
  
  

What makes this role hard (and fun)

• There are no clean problem statements - you’ll define them
• Model behavior is probabilistic - certainty is rare
• Research velocity can’t break production reliability
• Small product decisions can have massive cost implications
• You’ll constantly balance ambition with feasibility
  
  

If that sounds uncomfortable - this isn’t the role. If it sounds energizing - you’ll thrive here.

What we’re looking for (beyond the résumé)

We’re looking for engineers-turned-PMs who think in systems. You’re likely a strong fit if you have:

• 7–12 years of experience, with a strong engineering foundation
• Prior experience as a Software Engineer before moving into Product
• Proven track record of building and shipping AI / ML / Computer Vision products
• Deep technical understanding of:
• AI models & CV pipelines
• Data workflows & training loops
• ML infrastructure & deployment systems
• Comfort reasoning about:
• Model performance metrics
• Failure modes
• Scalability and cost trade-offs
• Ability to influence senior technical stakeholders with clarity and credibility
• Nice to haves:
• Exposure to robotics, perception systems, or real-time CV applications
• Advanced degree in CS, AI, or related fields

Why join now

• Zero legacy systems — real ownership
• Work directly with world-class researchers and engineers
• High visibility, high-impact role
• Learn faster than anywhere else in AI product