Robotics – Physical AI Research Engineer

InnoData

Robotics Research Engineer creating data specifications for robotics foundation models. Working with data processes to support AI advancements at Innodata.

Posted 7/27/2026full-timeSaddle Brook • New Jersey • 🇺🇸 United StatesMid-LevelSenior💰 $180,000 - $300,000 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Translate the requirements of robotics foundation models, including vision-language-action models, world models, and manipulation and locomotion policies, into concrete data specifications covering modalities, action representations, sampling, annotation schemas, and evaluation criteria.
Determine how Innodata's existing and incoming data should be structured, formatted, and enriched to maximize its value for training and evaluating robot foundation models.
Guide the robotics data collection effort across capture modalities, including motion capture, egocentric, exocentric, teleoperation, multi-sensor, and synthetic generation, so that collected data maps cleanly to model needs.
Run experiments that validate data design, including fine-tuning and evaluating foundation models on Innodata data to demonstrate that specific data decisions produce measurable model improvement.
Develop evaluation and benchmarking methodology for robotics data and models, grounded in measurable criteria such as coverage, discriminative power, reliability, and actionability.
Collaborate with the capture lab, annotation teams, and the synthetic data pipeline to turn data specifications into operational collection and labeling plans.
Represent Innodata's data approach in technical conversations with research and robotics organizations.

Requirements

What you’ll need

A background in robot learning or robotics machine learning, covering areas such as imitation learning, reinforcement learning, manipulation, vision-language-action models, or world models.
Hands-on experience training and evaluating models for robotics, such as building manipulation or locomotion policies through imitation learning or reinforcement learning, with strong PyTorch fundamentals.
Familiarity with robotics data formats and standards, such as the LeRobot dataset format, RLDS, and Open X-Embodiment, along with common motion and sensor formats.
A data-centric mindset, with a demonstrated understanding that data design drives model performance as much as architecture does.
The ability to translate fluidly between data operations and model research, and to specify what good data looks like for a given model objective.
Strong written and verbal communication skills, since this role interfaces directly with customers and the broader robotics community, and must explain technical data and modeling decisions clearly to both expert and non-expert audiences.
Strong Python and a rigorous, reproducible approach to experiments and documentation.
Experience fine-tuning large vision-language or vision-language-action models with the modern toolchain, for example HuggingFace transformers and PEFT.
Experience with robotics simulation and synthetic data tools such as NVIDIA Isaac Sim, Isaac Lab, and Omniverse, or comparable platforms.
Experience with teleoperation or egocentric data collection.
Experience benchmarking or evaluating robot policies, including sim-to-real considerations.
Publications or open-source contributions in robot learning or physical AI.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account InnoData Website LinkedIn All Job Openings 2 - 10 employees Founded 2019 🤝 B2B 💼 Consulting 🌍 Social Impact B2B
Consulting
Social Impact InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations. Robotics – Physical AI Research Engineer Job not on LinkedIn 🔥 6 minutes ago 🏢🏡 Saddle Brook – Hybrid 💵 $180k - $300k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Robotics Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Translate the requirements of robotics foundation models, including vision-language-action models, world models, and manipulation and locomotion policies, into concrete data specifications covering modalities, action representations, sampling, annotation schemas, and evaluation criteria.
Determine how Innodata's existing and incoming data should be structured, formatted, and enriched to maximize its value for training and evaluating robot foundation models.
Guide the robotics data collection effort across capture modalities, including motion capture, egocentric, exocentric, teleoperation, multi-sensor, and synthetic generation, so that collected data maps cleanly to model needs.
Run experiments that validate data design, including fine-tuning and evaluating foundation models on Innodata data to demonstrate that specific data decisions produce measurable model improvement.
Develop evaluation and benchmarking methodology for robotics data and models, grounded in measurable criteria such as coverage, discriminative power, reliability, and actionability.
Collaborate with the capture lab, annotation teams, and the synthetic data pipeline to turn data specifications into operational collection and labeling plans.
Represent Innodata's data approach in technical conversations with research and robotics organizations. 🎯 Requirements
A background in robot learning or robotics machine learning, covering areas such as imitation learning, reinforcement learning, manipulation, vision-language-action models, or world models.
Hands-on experience training and evaluating models for robotics, such as building manipulation or locomotion policies through imitation learning or reinforcement learning, with strong PyTorch fundamentals.
Familiarity with robotics data formats and standards, such as the LeRobot dataset format, RLDS, and Open X-Embodiment, along with common motion and sensor formats.
A data-centric mindset, with a demonstrated understanding that data design drives model performance as much as architecture does.
The ability to translate fluidly between data operations and model research, and to specify what good data looks like for a given model objective.
Strong written and verbal communication skills, since this role interfaces directly with customers and the broader robotics community, and must explain technical data and modeling decisions clearly to both expert and non-expert audiences.
Strong Python and a rigorous, reproducible approach to experiments and documentation.
Experience fine-tuning large vision-language or vision-language-action models with the modern toolchain, for example HuggingFace transformers and PEFT.
Experience with robotics simulation and synthetic data tools such as NVIDIA Isaac Sim, Isaac Lab, and Omniverse, or comparable platforms.
Experience with teleoperation or egocentric data collection.
Experience benchmarking or evaluating robot policies, including sim-to-real considerations.
Publications or open-source contributions in robot learning or physical AI. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs