Robotics Engineer

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at

Location: Boston, MA (Hybrid)

This is a remote role, with travel required both within the US & internationally.

Turing is building the data layer for Physical AI, across four key pillars: (1) Synthetic Data (Sim), (2) Robot Teleoperation, (3) Human Motion Capture, and (4) Data Enrichment.

We are seeking a Robotics Engineer who has first-hand experience training foundation models for robotics. You will not just be an engineer; you will be the architect of our datasets. You know why models succeed or fail in the real world, and you will use that empirical knowledge to design high-value, off-the-shelf datasets that solve those failures for our customers.

You will act as the bridge between our data collection teams and our customers' model performance, eventually building out a "Benchmarking & Optimization" business unit that evaluates, diagnoses, and improves the performance of our customers’ robotics foundational models.

• Help Launch Business Unit: a 0-to-1 opportunity to help build a new business unit within Turing.
• Define Industry Standards: Architect off-the-shelf datasets that will fuel the robotics ecosystem, setting the benchmark for Physical AI data quality.
• Own the Evaluation Loop: Lead the critical feedback loop that validates data quality, proving empirically how specific attributes drive model performance.

• Design "Off-the-Shelf" Solutions: Leverage your experience to define specifications for high-value dataset products (e.g., "The definitive bi-manual manipulation dataset for household objects"). You will dictate the requirements to our Sim, Teleop, and Motion Capture teams to ensure they capture the right data.
• Commercial Engagement: Partner with the Sales team as a key technical authority. You will translate customer pain points (e.g., "Our model fails on transparent objects") into well defined data solutions.
• Quality Definition: Move beyond basic QA (resolution, frame rate) to semantic QA. Define what "high-quality" data looks like for model learning.

• Build the "Eval" Loop: Establish workflows to train and fine-tune open-source Robotics Foundation Models (e.g., OpenVLA, Octo, RT-X) on our data. You will empirically prove that Turing’s data improves model performance.
• Agentic Gap Analysis: Develop automated workflows to analyze datasets for coverage gaps. Use this analysis to provide high-value insights to customers (e.g., "Your model is failing because your training distribution lacks diverse lighting conditions—here is the synthetic data to fix it").

• Benchmark-as-a-Service: Lead the development of virtual and physical benchmarking environments to test customer policies.
• The Optimization Loop: Build a full-cycle service where Turing: (1) Benchmarks a client's model, (2) Identifies performance gaps, (3) Translates gaps into data requirements, and (4) Delivers the data to close the loop.
• Establish a New Business Unit: Scale these capabilities into a dedicated "Benchmarking & Optimization" business unit. You will help build this new pillar, recruiting the team, defining the product solution, and driving the monetization strategy.

• 8+ years of total experience as a seasoned…