Crossing Hurdles
Robotics Researcher | Remote

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Member of Technical Staff (Robotics Lab)
Type: Full-time
Compensation: $400K - $1.5M/yr
Location: Remote
Role Responsibilities
- Define and standardize robotics data formats, schemas, and benchmarks to enhance data usability.
- Design innovative data collection methods, including human demonstrations, teleoperation, and sensor integration.
- Collaborate with cross-functional teams to ensure alignment on model training data requirements.
- Evaluate datasets for diversity, scalability, and impact to improve robot learning outcomes.
- Prototype experiments and tools to facilitate efficient data gathering processes.
- Stay updated on advancements in leading robotics labs and integrate best practices into workflows.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- Have 2 years of experience in robotics R&D, data engineering, or applied research.
- Possess a strong grasp of robotics data pipelines and multimodal schemas such as RGB-D, IMU, pose, and language.
- Have experience in robot perception, control, or data-driven learning methodologies.
- Have a degree in Robotics, Computer Science, Electrical Engineering, or a related field.
- Experience at top robotics or AI companies is a plus, along with familiarity with embodied AI datasets or imitation learning pipelines.


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Application Process
- Easy Apply on LinkedIn
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- Participate in resume evaluation & interview stage
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