Annotation Operations Manager

About the role

You are the operational backbone of Dyna Robotics' data annotation engine, owning the day to day execution that turns raw teleoperation footage into labeled training data for our imitation learning models. This role is responsible for ensuring throughput and quality are predictable, measurable, and aligned with product timelines. You will manage the end to end annotation pipeline, from dataset configuration and task assignment to review stages and completion reporting. You will also own the relationships with our annotation platform and external labeling partners to keep work flowing smoothly. Over time, you will grow from leading a small pod of labelers to managing the full annotation team, setting the standard for execution and communication. The position requires comfort with fragmented workflows, rigorous metric tracking, and proactive risk management so that the company can ship robotic behaviors at speed.

Key facts

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.

Requirements

• 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.

Nice to have

• 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.

Practical notes

This is a full time position based in Redwood City, California. The hours are aligned with standard business operations, and the role requires availability during overlapping work hours with cross functional partners. Travel is not currently required for this role. Dyna Robotics complies with applicable visa sponsorship policies where applicable. Please only apply if you meet the listed requirements.