Robotics Research Engineer (Remote)
Hire Feed · United States
- Hybrid
- Contract
- $1,500,000 / year
- United States
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Job highlights
- Shape robotics data collection and AI training.
- Design data formats and collection methods.
- Collaborate with top research teams.
- Evaluate datasets for AI model contribution.
- Advance AI models across industries.
About the role
Robotics Research Engineer (Remote)
This role focuses on shaping how embodied robotics data is collected, structured, and utilized to advance AI training and perception systems. The position involves collaborating with top-tier research teams to design data formats, collection methods, and evaluation frameworks that power the next generation of robotic learning. The work directly influences how AI models are trained and deployed across industries, from healthcare to engineering, by ensuring high-quality, scalable, and diverse training datasets.
Key Responsibilities:
- Define and standardize robotics data formats, schemas, and benchmarks for consistent data representation.
- Design and implement innovative data collection methods, including human demonstrations, teleoperation, and multi-sensor integration.
- Collaborate with cross-functional teams to align robotics data pipelines with model training requirements.
- Evaluate datasets for diversity, scalability, and impact to ensure high-quality contributions to AI systems.
- Prototype experiments and tools for efficient data gathering, leveraging best practices from leading robotics labs.
Required Skills & Qualifications:
- 2–5+ years of experience in robotics R&D, data engineering, or applied research with a focus on data pipelines and multimodal schemas.
- Strong grasp of robotics data formats (e.g., RGB-D, IMU, pose, language) and their role in perception and control systems.
- Hands-on experience with robot perception, control algorithms, or data-driven learning methods in a research or industry setting.
- Excellent communication skills with the ability to collaborate across disciplines, including engineering, AI research, and data science.
- Degree in robotics, computer science, electrical engineering, or a related technical field.
More About the Opportunity:
The role offers the chance to contribute to a scalable platform that powers AI training for leading labs and enterprises, with opportunities to work on cutting-edge robotics datasets and reinforcement learning environments. The position aligns with the company’s mission to enable meaningful work through AI, leveraging advanced evaluations to improve model performance across diverse domains.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Key skills/competency:
- Robotics Research
- Data Engineering
- AI Training
- Perception Systems
- Data Formats
- Data Collection
- Evaluation Frameworks
- Robotic Learning
- AI Models
- Reinforcement Learning
Skills & topics
- Robotics
- Research Engineer
- AI
- Data Engineering
- Perception Systems
- Remote
- Computer Science
- Electrical Engineering
- Robotics Data
- Data Collection
How to get hired
- Tailor your resume: Highlight your robotics R&D, data engineering, and AI experience, emphasizing multimodal schemas and data pipeline skills.
- Showcase your impact: Quantify your achievements in previous robotics research or data projects, focusing on contributions to AI training or perception systems.
- Demonstrate technical depth: Be prepared to discuss your understanding of robotics data formats (RGB-D, IMU, pose) and their application in perception and control.
- Highlight collaboration: Emphasize your ability to communicate effectively across engineering, AI research, and data science teams.
- Prepare for technical questions: Anticipate discussions on robot perception, control algorithms, and data-driven learning methods.
Technical preparation
Master robotics data formats (RGB-D, IMU, pose).,Practice designing data collection methods.,Implement robot perception algorithms.,Develop multimodal data schemas.
Behavioral questions
Describe a complex data challenge.,How do you collaborate across teams?,Explain a research project's impact.,How do you ensure data quality?
Frequently asked questions
- What are the key responsibilities for a Robotics Research Engineer at Hire Feed?
- As a Robotics Research Engineer at Hire Feed, you will define and standardize robotics data formats, design innovative data collection methods, collaborate with cross-functional teams on data pipelines, evaluate datasets for quality and impact, and prototype tools for efficient data gathering. This role is crucial for advancing AI training and perception systems.
- What qualifications are needed to apply for the Robotics Research Engineer role?
- We require 2-5+ years of experience in robotics R&D, data engineering, or applied research with a focus on data pipelines and multimodal schemas. A strong grasp of robotics data formats (e.g., RGB-D, IMU, pose, language) and hands-on experience with robot perception, control algorithms, or data-driven learning methods are essential. A degree in robotics, computer science, electrical engineering, or a related technical field is also necessary.
- What is the salary range for the Robotics Research Engineer position?
- The compensation for this remote Robotics Research Engineer role is competitive, with a payout ranging from $400k to $1.5m annually, reflecting the significant impact and expertise required for this position.
- Is this a remote position or will I need to relocate?
- This is a fully remote position, offering the flexibility to work from anywhere. Hire Feed believes in hiring based on skills and expertise, and this role is designed to attract top talent globally.
- What kind of AI training and perception systems will I be working on?
- You will contribute to shaping how embodied robotics data is utilized to advance AI training and perception systems. This involves designing and implementing methods that power the next generation of robotic learning, directly influencing AI models used across industries like healthcare and engineering.
- What is Hire Feed's approach to diversity and inclusion?
- Hire Feed is committed to equal opportunity. We hire based on skills and expertise, welcoming all qualified candidates regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.