Data Operations Intern
Santa Clara, CAFull-timePosted todayStill listed today
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At a glance
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Job overview
Maxinsights seeks a Data Operations Intern to support its Data Operations Manager and Operations team. The hands-on role involves data collection, equipment management, quality assurance, and operational support for robotics data projects. The intern will help maintain project workflows and coordinate deliverables, with opportunities to gain exposure to project management, quality assurance, and operational processes.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Job Description: About MaxInsights Maxinsights is a pioneer in embodied robotics data solutions. We provide end-to-end data infrastructure, from multimodal data collection and annotation to algorithm-ready dataset delivery, for leading robotics foundation model companies and embodied AI labs worldwide.
Position Overview Maxinsights is seeking motivated, detail-oriented Data Operations Interns to support our Data Operations Manager and Operations team. This hands-on role involves data collection, equipment management, quality assurance, and general operational support to help projects run efficiently.
Key Responsibilities
- Data Collection: Perform hands-on video data collection using specialized equipment and project SOPs.
- Quality Assurance: Review data for accuracy, completeness, and compliance with requirements.
- Equipment Management: Assist with setup, testing, inventory, shipping, and troubleshooting.
- Operational Support: Support daily tasks, administrative activities, and special projects.
- Data Organization: Maintain files, spreadsheets, trackers, and project documentation.
- Project Coordination: Track deliverables, monitor progress, and communicate updates.
- Process Improvement: Identify issues and help improve operational workflows.
- Additional Responsibilities: Assist with other tasks as needed to support Operations.
Qualifications
- Prior experience in technical operations, data collection, logistics, or a related field preferred.
- Strong organization, attention to detail, communication, and problem-solving skills.
- Comfortable using Google Sheets, Docs, and Drive.
- Able to learn new hardware, software, and technical equipment.
- Able to work independently and collaboratively in a fast-paced environment.
- Interest in AI, robotics, technology, or operations is a plus.
- Current students and recent graduates are encouraged to apply.
What We Offer
- Hands-on experience with AI and robotics data collection projects.
- Direct collaboration with the Data Operations Manager and Operations team.
- Exposure to project management, quality assurance, and operational processes.
- Opportunities to develop technical, analytical, and professional skills.
Position Type: Full-Time, Paid Internship Work Arrangement: Hybrid Duration: Ongoing / Flexible Benefits: Paid sick leave, internships are not eligible for other default benefits.
Default Benefits:
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Health insurance
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Vision care
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Dental coverage
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401(k)
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Paid holidays
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PTO (Paid Time Off)
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Sick leave
How this job compares
Set against the 10,409 open Operations jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This postingNot listed
- California median$125–180K/yr809 salary ranges
- California median$23–27/hr221 hourly ranges
- Openings
- Olive Jobs lists 1,325 open Operations jobs in California and 10,409 across the US. 3% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Anduril51 open
- Enterprise Mobility33 open
- Amazon25 open
- Experience
- Operations postings that state a minimum ask for 4 years of experience at the median; the middle half ask for 2 to 7 years (6,474 postings).
- Education
- 3,458 of the 10,409 open Operations jobs (33%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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