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Mindrift Data Annotation

60 Mindrift Data Annotation Freelance Designer Jobs Hiring Near You

Mindrift

Freelance Graphic Designer

$50/hr

Mindrift is looking for a versatile, highly skilled Graphic Designer to join the Tendem project ... Transform raw data and concepts into professional, polished visual assets tailored to specific ...

Jobgether

$2 - $5/hr

Our partner is looking for a Video Annotation & Data Labeling Specialist based in Netherlands. This ... The role is designed for reliable contributors who can follow precise guidelines and maintain ...

Mindrift

Freelance Presentation Designer

$50/hr

Mindrift is looking for a highly skilled Presentation Designer to join the Tendem project (** and ... Translate complex data into clear visual storytelling with a strong focus on minimalism and precise ...

Mindrift

Freelance Presentation Designer

Brooklyn, NY · Remote

$50/hr

Mindrift is looking for a highly skilled Presentation Designer to join the Tendem project (** and ... Translate complex data into clear visual storytelling with a strong focus on minimalism and precise ...

Mindrift

Freelance Presentation Designer

Austin, TX · Remote

$50/hr

Mindrift is looking for a highly skilled Presentation Designer to join the Tendem project (** and ... Translate complex data into clear visual storytelling with a strong focus on minimalism and precise ...

Mindrift

Freelance Presentation Designer

San Antonio, TX · Remote

$50/hr

Mindrift is looking for a highly skilled Presentation Designer to join the Tendem project (** and ... Translate complex data into clear visual storytelling with a strong focus on minimalism and precise ...

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Infographic showing various Freelance Designer job openings at Mindrift Data Annotation in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 51% Physical, and 49% Remote job distribution.

Data Annotation Lead

Physical Intelligence

San Francisco, CA • On-site

Full-time

Re-posted 2 days ago

Job description

Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.

The role

We're looking for a Data Annotation Lead to own annotation operations and scale the team behind it. Annotation is core to how our models improve, and demand is growing fast. You will scale the annotation workforce from 100s to 1,000s while raising the quality bar - designing the org, the training pipeline, the quality system, and the metrics that let it scale efficiently.

You will own the people and the operation: throughput, quality, cost, and delivery across every annotation type.

In this role you will

  • Own annotation operations end-to-end: throughput, quality, cost, and on-time delivery across all annotation types.

  • Scale the annotation workforce from 100s to 1,000s: workforce planning, org design, and the hiring and onboarding funnel.

  • Build and lead a multi-layer management structure; hire, develop, and manage managers and team leads.

  • Scale throughput with autolabeling and model-based annotation: design human-in-the-loop workflows where models pre-label and annotators review, correct, and escalate, so output grows faster than headcount.

  • Stand up the training and certification pipeline that brings new annotators and teams to the quality bar quickly and consistently.

  • Define and continuously raise the quality bar: rubrics, calibration, audit/QA loops, and quality-adjusted productivity.

  • Establish operational metrics and reporting (presence, throughput, acceptance/rejection, rework) and drive week-over-week improvement.

  • Run capacity planning and prioritization against competing demand; allocate teams to the highest-impact work.

  • Manage performance at scale with clear standards, feedback, and a fair improvement/exit process.

  • Partner with product and engineering to define annotation tooling that unlocks throughput and quality.

  • Partner with research and project leads to translate annotation needs into clear instructions, rubrics, and SLAs.

  • Own the in-house vs. vendor mix and manage external partners where used.

  • Own the annotation operating budget and unit economics; improve cost-per-annotation while protecting quality.

What you'll bring

  • 7+ years leading scaled data or annotation operations, including teams in the 100s+.

  • 3+ years as a manager of managers.

  • Track record standing up 01 annotation programs.

  • Deep command of annotation best practices, operations, and strategy.

  • Experience integrating autolabeling and model-based annotation into human workflows; building human-in-the-loop pipelines that raise throughput without sacrificing quality.

  • Fluency with operational and quality metrics; data-driven management of large workforces.

  • Strong cross-functional partnership with product, engineering, and research/ML.

  • Clear written and verbal communication; able to set and hold standards across a large, distributed team.

  • Working understanding of ML and why annotation quality drives model performance.

Nice to have

  • Experience in robotics, autonomous vehicles, or frontier-AI data pipelines.

  • Experience managing distributed/global and/or vendor workforces.

  • Built annotation tooling or partnered tightly with a tooling team.

  • Experience training or fine-tuning autolabeling models, or partnering closely with the ML teams that do.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Apply