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Internship Ai Annotation Writing Jobs (NOW HIRING)

Sunday

Data Annotation Lead

Redwood City, CA · On-site

Required : • Clear written and verbal communication to guide our data annotators • Your ability ... to leverage AI to help improve productivity Company : Sunday is a robotics and artificial ...

Spherix Global Insights

Finance Internship

Exton, PA · On-site

$17.25 - $22.50/hr

- Finance Intern Finance Internship - AI, Financial Reporting & Sales Operations Analytics The ... Strong written communication skills, with the ability to clearly document processes and ...

New

Dyna Robotics

Data Annotation Specialist

As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating ... Clear written communication and a collaborative attitude Preferred : • Hands-on experience ...

SPHERIX GLOBAL INSIGHTS US INC

Finance Internship

Exton, PA · On-site

$17.25 - $22.50/hr

- Finance Intern Finance Internship - AI, Financial Reporting & Sales Operations Analytics The ... Strong written communication skills, with the ability to clearly document processes and ...

Sunday Inc

Data Annotation Lead

Redwood City, CA · On-site

Clear written and verbal communication to guide our data annotators * Your ability to manage ... Ability to leverage AI to help improve productivity At Sunday Robotics, we're building technology ...

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ... write-ups, or case studies). Preferred qualifications * Experience building LLM-powered ...

Innodata Inc.

AI Solutions Engineer

Washington, DC

$75 - $80/hr

Validate AI feature integration end-to-end across storefront, annotation platform, and DataCard write-back during Phase C Must-Have Qualifications: * Bachelor's degree in Computer Science, Machine ...

Atlas Energy Solutions

AI Developer

Austin, TX · On-site

... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ... write-ups, or case studies). Preferred qualifications * Experience building LLM-powered ...

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ... write-ups, or case studies). Preferred qualifications * Experience building LLM-powered ...

Bot Auto

Data Annotation Specialist

Houston, TX

High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous ... Outstanding verbal and written communication abilities; ability to clearly explain complex visual ...

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Internship Ai Annotation Writing information

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How much do internship ai annotation writing jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for internship ai annotation writing in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is the difference between Internship Ai Annotation Writing vs Data Labeling Specialist?

AspectInternship Ai Annotation WritingData Labeling Specialist
CredentialsTypically students or entry-level with basic technical skillsOften requires experience with labeling tools and data management
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation firms or tech companies
Industry UsageCommon in AI development, machine learning projectsUsed across AI, autonomous vehicles, and data-driven industries

Internship Ai Annotation Writing focuses on entry-level tasks like creating annotations for AI training data, often as part of an internship program. Data Labeling Specialist involves more experienced data annotation work, often with specialized tools and higher accuracy requirements. Both roles are essential in AI development but differ mainly in experience level and scope.

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Internship Ai Annotation Writing jobs near you
Infographic showing various Internship Ai Annotation Writing job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Data Annotation Lead

Data Annotation Lead

Physical Intelligence

San Francisco, CA • On-site

Full-time

Posted 22 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 0→1 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.

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