Robotics Intern
United States · Remote · Full-time
- Posted 2d ago
- From Centific’s careers page
- Location
- United States
- Work mode
- Remote
- Type
- Full-time
- Level
- Intern
- Department
- Engineering
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About the role
About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
- Centific Physical AI Center of Excellence (PACE) build the hardware and software that powers robotics data collection — teleoperation, annotation, and model evaluation. You'll work hands-on in our Redmond lab to design, prototype, and validate data collection rigs and the pipelines that turn raw sensor streams into training-ready datasets.
- Job DescriptionJob DescriptionCentific Physical AI Center of Excellence (PACE) build the hardware and software that powers robotics data collection — teleoperation, annotation, and model evaluation. You'll work hands-on in our Redmond lab to design, prototype, and validate data collection rigs and the pipelines that turn raw sensor streams into training-ready datasets.What you'll doDesign and prototype data collection hardware: camera rigs, sensor mounts, teleoperation interfaces, end-effector and wrist-cam assemblies.Build recording and data-handling scripts (multi-camera capture, synchronization, sensor fusion) targeting HDF5 and LeRobot dataset formats.Integrate and evaluate off-the-shelf components: RGB-D cameras arrays, dexterous hands, teleoperation gloves, VR headsets.Support real-world data collection and model evaluation sessions on robot arms and humanoid platforms.3D-print, assemble, wire, and bench-test prototypes alongside our lab technician.Document hardware specs, BOMs, and reproducible setup procedures.Required qualificationsCurrently enrolled in or completed a Master's (or PhD) in Robotics, ECE, ME, CS, or a related field.Proficient in Python; comfortable with Linux and version control.Hands-on experience with at least one of: ROS/ROS2, sensor integration, CAD (OpenSCAD/Onshape/SolidWorks), or 3D printing.Able to work on-site in Palo Alto or Redmond LabPreferredExperience with imitation learning / robot learning data pipelines (LeRobot, RLDS, HDF5).Familiarity with depth cameras, SLAM, or multi-camera calibration.Teleoperation, motion capture, or VR/AR input experience.Soldering, electronics prototyping, mechanical fabrication.
Rate $40/hr.
Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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About Centific
AI data engineering for frontier modelsCentific is an AI data company that helps frontier labs and enterprises advance their models, specializing in data curation, localization, and domain-specific datasets for AI training.
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