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.