---
title: 'QA Reviewer, Data Annotation at Mind Robotics'
canonical: 'https://feeny.ai/job/qa-reviewer-data-annotation-mind-robotics-palo-alto-3zs6g352cr63'
type: 'job'
last_seen: '2026-11-06'
---

# QA Reviewer, Data Annotation at Mind Robotics

- **Company:** Mind Robotics
- **Location:** Palo Alto, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-20
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/mindrobotics/fedfb4f0-42b7-43e1-a83a-01f2c53eda75

## Job description

QA Reviewer, Data Annotation About Mind: Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.

About the team and the role: We are looking for a QA Reviewer & Calibration Lead to ensure our data annotation pipeline operates at high throughput without sacrificing quality. In this role, you will be the backbone of quality control for our continuous data flywheel. You will lead regular alignment sessions, identify systematic labeling inconsistencies, and work hands-on with internal reviewers and partner teams to resolve ambiguous edge cases.

Responsibilities:

- Run calibration sessions: Lead weekly alignment meetings with internal reviewers and vendor partners to ensure everyone grades and labels data with high consistency.
- Track and fix quality issues: Spot common reviewer errors, conduct root-cause analysis on labeling discrepancies, and build feedback loops to eliminate systemic mistakes.
- Update guidelines and documentation: Keep labeling instructions, edge-case taxonomies, and SOPs clear, crisp, and up-to-date as project requirements evolve.
- Monitor quality metrics: Track quality scores, accuracy rates, and inter-annotator agreement metrics across dashboards to ensure production targets are met.
- Provide feedback and guidance: Deliver direct feedback and targeted training to reviewers navigating complex guidelines or multi-sensor data edge cases.
- Coordinate cross-functionally: Work closely with technical leads, operations, and annotation teams to resolve taxonomy questions quickly and keep the data flywheel moving smoothly.

Requirements:

- 2–4 years of experience in quality assurance, data annotation QA, or data review in high-velocity tech or AI environments.
- Meticulous attention to detail: A sharp eye for subtle edge cases and a practical, logical approach to resolving ambiguous data scenarios.
- Clear communication: Strong written and verbal communication skills with the ability to explain complex labeling rules clearly and facilitate alignment discussions.
- Data fluency: Comfortable navigating dashboards, spreadsheets, and basic reports to track accuracy metrics and spot trends.
- Collaborative mindset: A proactive, team-oriented attitude focused on coaching reviewers and continually driving quality across the organization.
- Experience with multi-camera/ego-exo video annotation, point cloud data, or robotics training data pipelines (is a plus).
- Background working with third-party vendor teams (BPO/managed services) in a fast-paced hardware or AI deployment environment (is a plus).

## About Mind Robotics

## Company Overview
- **One-liner**: Mind Robotics builds AI-driven robotic systems for industrial deployment, focusing on creating general-purpose physical intelligence for the world's most demanding manufacturing challenges.
- **Entity Type**: Private (Series A)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2025
- **Founders**: Not publicly disclosed (founding technical team includes Sriramana Sankar, Ruijie He, Vishal J., and Ury Zhilinsky as Founding Technical Members)

## Core Business
- **Primary industry/industries**: Robotics Engineering, Industrial Automation, Artificial Intelligence
- **Target customers**: B2B, Enterprise (industrial manufacturing, factory floors)
- **Mission or purpose statement**: "Building the generalized physical intelligence required to solve the world’s most demanding industrial challenges." The company believes the path to general-purpose robotics begins where the need is most acute and the environment is most structured: the factory floor.

## Products & Services
- **AI-Enabled Industrial Robots**: Intelligent robotic systems designed for industrial deployment, focusing on creating collaborative platforms for manufacturing environments. The company builds "physical AI" for real-world industrial challenges, emphasizing hardware-in-the-loop development where researchers and engineers work hands-on with hardware.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding of **$615M** across two rounds
- **Notable Investors/Partners**: Andreessen Horowitz (co-lead Series A), Accel (co-lead Series A), Kleiner Perkins (led most recent round), Eclipse (seed), Prysm Capital, Menlo Ventures. Partners include Silicon Valley Robotics.
- **Growth Signals**: 
  - Raised a $115M seed round in late 2025, followed by a massive $500M Series A in March 2026 co-led by Accel and Andreessen Horowitz
  - Closed an additional funding round in May 2026 led by Kleiner Perkins
  - Headcount of ~21 employees with a monthly growth rate of +42.9%
  - LinkedIn following of 9,654 with +38.5% monthly growth
  - Talent sourced from top companies including Tesla, Rivian, Databricks, and Physical Intelligence

## Competitive Advantages
- **Massive capital advantage**: With $615M in total funding raised within its first year, Mind Robotics is one of the best-capitalized early-stage robotics startups, enabling aggressive hiring and R&D investment.
- **Top-tier investor backing**: Backed by Andreessen Horowitz, Accel, and Kleiner Perkins — some of the most prestigious venture firms in the world.
- **Hardware-in-the-loop philosophy**: The company emphasizes that the hardest problems in AI are solved when researchers and engineers are hands-on with hardware, creating a unique engineering culture focused on real-world deployment.
- **Lean, high-impact team**: With only ~21 employees and massive funding, each individual has outsized ownership and impact.

## Strategic Focus
- **Industrial deployment first**: Targeting factory floors as the most structured environment for deploying general-purpose robotics, believing this is the fastest path to broadly capable robots.
- **Physical AI development**: Building the intelligence layer for robots that can operate in messy, complex real-world environments.
- **Aggressive scaling**: With $615M in funding, the company is rapidly expanding its team across hardware engineering, software, and data platform roles.

## Why Work Here
- **Massive impact per person**: The company explicitly states it is "building a lean, collaborative team where every individual has a massive impact" — a rare promise for a company with over half a billion in funding.
- **Hardware-in-the-loop culture**: Engineers and researchers work directly with physical hardware daily, solving real-world problems rather than just simulation.
- **Top-tier team**: Colleagues include alumni from Tesla, Rivian, Databricks, and Physical Intelligence, creating a high-caliber peer group.
- **Work policy**: Hybrid workspace (combination of remote and on-site work) with a strong in-office presence in Palo Alto, CA. Most roles appear to be on-site or hybrid.
- **Open roles**: 22 active positions across hardware engineering (actuation, motor design, electrical design, tactile sensing), software engineering (robotics, firmware, controls, ML infrastructure), and data platform roles.
- **Culture highlights**: The company looks for "builders who are passionate about robotics and live for the challenge of making systems work in messy, complex environments." They emphasize a lean, collaborative team where every individual has massive impact.

## Sources
1. [mindrobotics.com](https://www.mindrobotics.com/)
2. [mindrobotics.com/careers](https://www.mindrobotics.com/careers)
3. [LinkedIn - Mind Robotics](https://www.linkedin.com/company/mindrobotics)
4. [Built In - Mind Robotics](https://builtin.com/company/mind-robotics)
5. [Ashby Jobs - Mind Robotics](https://jobs.ashbyhq.com/mindrobotics)

## Other roles at Mind Robotics

- [Tech Lead Manager](https://feeny.ai/job/tech-lead-manager-mind-robotics-normal-3fhqp6bz3pxp) — Normal, IL
- [Tools and PLM Engineer](https://feeny.ai/job/tools-and-plm-engineer-mind-robotics-palo-alto-y1v513696ta8) — Palo Alto, CA
- [Electrical Design Engineer, Power Electronics](https://feeny.ai/job/electrical-design-engineer-power-electronics-mind-robotics-palo-alto-bjy7qhnq3nkr) — Palo Alto, CA
- [Field Technician, Data Collection](https://feeny.ai/job/field-technician-data-collection-mind-robotics-normal-15vnxcrxc24p) — Normal, IL
- [Communications Lead](https://feeny.ai/job/communications-lead-mind-robotics-palo-alto-t7d5nwyggs2f) — Palo Alto, CA
- [Mechanical Design Engineer, Plastics](https://feeny.ai/job/mechanical-design-engineer-plastics-mind-robotics-palo-alto-1ythfx9nb8x4) — Palo Alto, CA
- [Software Engineer, Data Platform](https://feeny.ai/job/software-engineer-data-platform-mind-robotics-palo-alto-h9nnhq30rhnc) — Palo Alto, CA
- [Technical Program Manager, Software](https://feeny.ai/job/technical-program-manager-software-mind-robotics-palo-alto-nzbtjpp2a6gy) — Palo Alto, CA
- [Mechanical Design Engineer, Wearables](https://feeny.ai/job/mechanical-design-engineer-wearables-mind-robotics-palo-alto-kveqcemqyqm2) — Palo Alto, CA
- [IT Operations Lead](https://feeny.ai/job/it-operations-lead-mind-robotics-palo-alto-nnxhw00ffje8) — Palo Alto, CA