Posted on: 22/12/2025
Description :
Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe.
Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI.
Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, were looking for exceptional talent to reimagine the way the world works.
Why this role exists (read this first).
Instawork Robotics Labs is a new initiative within Instawork.
We work with the worlds 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 Youll 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 dont.
- Ensuring product decisions compound over time.
What Makes This Role Hard (and Fun) :
- There are no clean problem statements youll define them.
- Model behavior is probabilistic certainty is rare.
- Research velocity cant break production reliability.
- Small product decisions can have massive cost implications.
- Youll constantly balance ambition with feasibility.
- If that sounds uncomfortable this isnt the role.
- If it sounds energizing youll thrive here.
What were looking for (beyond the rsum) :
Were looking for engineers-turned-PMs who think in systems.
Youre likely a strong fit if you have :
- 7 to 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.
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Posted in
Product Management
Functional Area
Product Management
Job Code
1593656
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