---
title: 'Annotation Operations Manager at Dyna Robotics'
canonical: 'https://feeny.ai/job/annotation-operations-manager-dyna-robotics-redwood-city-edm60c94sdh0'
type: 'job'
last_seen: '2026-09-06'
---

# Annotation Operations Manager at Dyna Robotics

- **Company:** Dyna Robotics
- **Location:** Redwood City, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-07
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/dyna-robotics/af998a3c-badd-407a-9571-2960060da35f

## Job description

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.

## THE ROLE

This role owns the operational layer of that work. You will run the operation from day one, covering process, reporting, and third party relationships, and step into people management progressively, starting with a small pod of labelers and growing into the full team as you prove yourself. Our Annotation Lead keeps the technical judgment calls: model calibration and promotion, ontology and failure taxonomy design, and cost and planning strategy. You are the person who makes the annotation engine run predictably every single day.

## WHAT YOU'LL DO

Operations and reporting

- Own the reporting rhythm. Run daily and weekly throughput reporting across all active datasets, covering episode totals, review stage progress, and ETAs, and distribute scorecards to the labeling team and stakeholders.
- Keep the pipeline moving. Own the Encord pipeline end to end: create and configure projects, set up SOPs and ontologies, move datasets through annotate, review, and complete stages, handle grade splits, assignments, and resyncs, and keep dataset updates flowing as new footage lands.
- Measure and unblock. Track and continuously improve operational metrics such as throughput per headcount, per dataset cycle times, and expected versus actual labeling time, and flag bottlenecks before they turn into blockers.
- Automate the mechanical. Extend and maintain the automation and runbooks behind these tasks, like the scripted daily totals send, so manual toil shrinks over time.

People and team management

- Start with a pod, then scale up. You will begin by leading a small pod of labelers, owning their day to day assignments and first line supervision. As that proves out, you will transition into managing the full annotation team, about 12 people today and growing, and formalize sub leads as it scales.
- Handle approvals. Own timecard, payroll hours, and approval workflows for the team.
- Grow the team. Run hiring for the annotation team end to end, including sourcing, interviewing, onboarding, and ramp.
- Develop people. Own performance management: regular 1:1s, performance reviews, coaching, and quality feedback loops.

Third party and vendor management

- Own the relationships. Be the primary point of contact for our annotation platform (Encord) and for external labeling vendors and partners.
- Coordinate partners. Run external workstreams by provisioning access and invites, standing up projects and SOPs for partners, and managing scope and priorities with them.
- Manage the handoffs. Own the scale and vendor upload runbook, and make sure data moves cleanly between our systems and external tooling.
- Absorb the overhead. Represent annotation ops in vendor and external syncs so the rest of the team stays focused.

## WHAT YOU'LL BRING

- 3+ years running operations, program management, or team management, ideally in data annotation, data operations, ML data pipelines, BPO or vendor management, or a comparable high throughput environment.
- Direct people management experience. You have supervised a team, run hiring, and handled performance and approvals.
- Strong operational instincts. You build repeatable processes, track the right metrics, and are comfortable owning dashboards, scorecards, and reporting.
- Comfort with annotation and labeling tooling such as Encord, plus enough technical fluency to work in spreadsheets, basic SQL or scripts, and pipeline tools without hand holding.
- Vendor and third party management experience. You can be the accountable point of contact and keep external partners on scope and on schedule.
- A high tolerance for fragmentation. You can hold roughly 20 small threads a week and still keep the operation predictable.
- Clear, proactive communication. You surface risks early and keep stakeholders aligned.

## BONUS POINTS FOR

- Exposure to robotics, computer vision, or imitation learning data.
- Experience automating manual ops workflows with scripts or lightweight tooling.
- Experience scaling an annotation team through a growth phase and standing up sub leads.

At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.

Don’t let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you’re passionate about robotics, no matter your discipline, we want to hear from you, even if you don't check every box.

## About Dyna Robotics

## Company Overview
- **One-liner**: Dyna Robotics builds general-purpose commercial robots powered by proprietary embodied AI foundation models that achieve human-level dexterity and self-improvement across diverse real-world environments.
- **Entity Type**: Private (Series A)
- **Headquarters**: Redwood City, California, United States
- **Founded**: 2024
- **Founders**: Lindon Gao (CEO), York Yang (Co‑founder), Jason Ma (Co‑founder / former DeepMind research scientist)

## Core Business
- **Primary industry**: Robotics / Artificial Intelligence (embodied AI foundation models)
- **Target customers**: B2B – enterprises in manufacturing, logistics, laundry, food service, hospitality, and other industries requiring repetitive manipulation tasks
- **Mission statement**: “To empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Driving the future of general‑purpose robotics—one manipulation skill at a time.” [builtin.com](https://builtin.com/company/dyna-robotics)

## Products & Services
- **DYNA‑1 Foundation Model** – A single‑weight, general‑purpose vision‑language‑action (VLA) model that achieves 99%+ success rates in 24‑hour non‑stop operation. It generalizes zero‑shot to unseen environments and learns new skills within hours. [dyna.co](https://www.dyna.co/)
- **DYNA‑1i: Open‑World Dexterity** – Production‑grade manipulation system with real‑time self‑correction and human‑level dexterity at commercial throughput. [dyna.co](https://www.dyna.co/)
- **Factory Automation** – 24/7 autonomous operation for precision manufacturing, kitting, assembly, pick‑and‑place, quality inspection, and packaging.
- **Laundry & Garment** – Automated folding and garment handling (e.g., DYNA‑1 folds 40+ shirts per hour).
- **Food & Hospitality** – Food service automation including napkin folding, plating, and delicate manipulation tasks.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metrics**:
  - **Total Funding**: $143.5 M (Seed $23.5 M in March 2025; Series A $120 M in September 2025) [prnewswire.com](https://www.prnewswire.com/news-releases/dyna-robotics-raises-120-million-to-advance-robotic-foundation-models-on-the-path-to-physical-artificial-general-intelligence-302556817.html)
  - **Employees**: 98 (as of mid‑2025), +213.9% YoY headcount growth [linkedin.com](https://www.linkedin.com/company/dyna-robotics)
- **Notable Investors/Partners**: CRV, RoboStrategy, First Round Capital, Salesforce Ventures, NVentures (NVIDIA), Amazon Industrial Innovation Fund, Samsung Next, LG Technology Ventures.
- **Growth Signals**:
  - Robots already deployed 16 hours/day at hotels, restaurants, laundromats, and gyms within six months of launch.
  - Strong talent influx from Tesla (14 employees), Cruise, Meta, Nuro, Amazon Lab126.
  - LinkedIn follower growth +404.3% year‑over‑year.

## Competitive Advantages
- **First general‑purpose foundation model for robotics** that works out‑of‑the‑box in new environments without custom engineering.
- **99%+ success rate** in continuous 24‑hour operation and ability to self‑improve through on‑the‑job data.
- **Rapid learning**: new skills acquired in hours, not weeks, with fleet‑wide updates.
- **Founding team** with proven exit (Caper AI sold for $350 M) and deep research pedigree (DeepMind).

## Strategic Focus
- Expand world‑class research and engineering team.
- Accelerate development of next‑generation foundation model.
- Scale commercial deployments across manufacturing, hospitality, and service industries.
- Collect high‑quality data from real‑world customers to continuously improve model generalization.

## Why Work Here
- **In‑office culture** – All employees work from physical offices in Redwood City, CA (with small satellite presence in China, Canada, Hong Kong). Strong in‑person collaboration is emphasized. [builtin.com](https://builtin.com/company/dyna-robotics)
- **Engineering‑heavy environment** – 27% of staff in technical roles, 9% in research, and 5% consulting. Recent open roles include Deployment Engineer, Research Engineer/Scientist, Full‑Stack Robotics Software Engineer, and Data Infra Engineer.
- **High growth trajectory** – Headcount nearly tripled in a year, with aggressive hiring across operations, research, and product.
- **Impactful mission** – Opportunity to work on cutting‑edge embodied AI that directly automates physical tasks, with a path toward physical AGI.
- **Competitive compensation & perks** (inferred from top VC backing and talent drawn from Big Tech).

## Sources
1. [dyna.co](https://www.dyna.co/) – Official website
2. [builtin.com](https://builtin.com/company/dyna-robotics) – Company overview, jobs, culture
3. [linkedin.com](https://www.linkedin.com/company/dyna-robotics) – Company details, funding, employee growth
4. [prnewswire.com](https://www.prnewswire.com/news-releases/dyna-robotics-raises-120-million-to-advance-robotic-foundation-models-on-the-path-to-physical-artificial-general-intelligence-302556817.html) – Series A announcement

## Other roles at Dyna Robotics

- [HR Business Partner](https://feeny.ai/job/hr-business-partner-dyna-robotics-redwood-city-xbs5vdzs7xqs) — Redwood City, CA
- [Exceptional Software Engineer](https://feeny.ai/job/exceptional-software-engineer-dyna-robotics-redwood-city-5emz05d1phvm) — Redwood City, CA
- [Video Producer & Editor](https://feeny.ai/job/video-producer-editor-dyna-robotics-redwood-city-88azpea4dg8x) — Redwood City, CA
- [Product Manager, Data Engine](https://feeny.ai/job/product-manager-data-engine-dyna-robotics-redwood-city-k3w3we7tktyy) — Redwood City, CA
- [Robotics Hardware Reliability Engineer](https://feeny.ai/job/robotics-hardware-reliability-engineer-dyna-robotics-redwood-city-ca3qm930xv29) — Redwood City, CA
- [Research Engineer/Scientist, Simulation](https://feeny.ai/job/research-engineer-scientist-simulation-dyna-robotics-redwood-city-kbtftjmb38vj) — Redwood City, CA
- [Applied Researcher - Deployment Intelligence & Continuous Learning](https://feeny.ai/job/applied-researcher-deployment-intelligence-continuous-learning-dyna-robotics-2vv1eskyg11k) — Redwood City, CA
- [Robot Safety Operator - Walnut Creek, CA](https://feeny.ai/job/robot-safety-operator-walnut-creek-ca-dyna-robotics-customer-site-k214rxsy0czt) — Customer Site
- [Operations Recruiter](https://feeny.ai/job/operations-recruiter-dyna-robotics-redwood-city-ygjfchdarmwj) — Redwood City, CA
- [Robot Safety Operator - San Diego](https://feeny.ai/job/robot-safety-operator-san-diego-dyna-robotics-customer-site-3rtaadtd0p57) — Customer Site