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Permanent Ai Annotation Writing Jobs (NOW HIRING)

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 ...

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 ...

New

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 ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

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 ...

Innodata Inc.

$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 ...

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Permanent Ai Annotation Writing information

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$45K

$58.4K

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How much do permanent ai annotation writing jobs pay per year?

As of Jul 12, 2026, the average yearly pay for permanent ai annotation writing in the United States is $58,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $58,000.00 per year, depending on experience, location, and employer.

What are Permanent AI Annotation Writing jobs?

Permanent AI Annotation Writing jobs involve the ongoing task of labeling and annotating data—such as text, images, audio, or video—so that artificial intelligence systems can learn and improve. Annotators use specialized tools to identify objects, actions, or features in datasets, providing crucial information that helps train AI models. These positions are typically long-term or full-time, offering stability and the opportunity to develop expertise in AI data preparation. Workers in this field often collaborate with data scientists and engineers to ensure high-quality, accurate annotations. The demand for skilled annotators is growing as AI applications expand into more industries.

What are some typical challenges faced by professionals in permanent AI annotation writing roles, and how can they be addressed?

In permanent AI annotation writing roles, professionals often encounter challenges such as maintaining high accuracy and consistency across large volumes of data, adapting to evolving project guidelines, and managing repetitive tasks. To address these challenges, it's important to develop a systematic approach to annotation, regularly review updated instructions, and collaborate closely with quality assurance teams. Utilizing productivity tools and participating in team discussions can also help streamline workflows and reduce errors, ensuring that the annotated data meets the required standards for AI model training.

What are the key skills and qualifications needed to thrive as a Permanent AI Annotation Writer, and why are they important?

To thrive as a Permanent AI Annotation Writer, you need excellent attention to detail, strong language proficiency, and a basic understanding of data labeling principles, often supported by relevant coursework or experience in linguistics or data science. Familiarity with annotation tools like Labelbox or Prodigy, and experience following annotation guidelines or taxonomies, are commonly required. Strong communication, critical thinking, and the ability to work independently are valuable soft skills in this role. These skills ensure high-quality, consistent data labeling, which directly impacts the performance and reliability of AI models.
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Permanent Ai Annotation Writing jobs near you
Infographic showing various Permanent Ai Annotation Writing job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $58,415 per year, or $28.1 per hour.
Data Annotation Lead

Data Annotation Lead

Sunday Inc

Redwood City, CA • On-site

Full-time

Re-posted 6 days ago

Job description

Join Us in Building the Future of Home Robotics
At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.
We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you.
What to Expect
We're looking for a Data Annotations Lead to join our Data team and own the people side of data annotation.
This role is about building and leading a world class in-house data annotation team that is able to pivot quickly to any research experiment while delivering on quality, quantity, and variety when it comes to data.
You'll work in coordination with Machine Learning, Software engineering, and Data to define the framework and tools on which to build a data annotation team around. Your role is vital to ensuring our data annotators are aligned with the guidances for annotations and are upholding a culture of happiness.
What You'll Do
  • Build a data annotation team
  • Manage the people side of data annotations
  • Create documentation
  • Be in the weeds and annotate data yourself anytime something new is being designed
  • Create data annotation processes
  • Vibe code data annotation tools during pilot stages

What You'll Bring
  • Clear written and verbal communication to guide our data annotators
  • Your ability to manage unexpected challenges
  • Your ownership of key stakeholders with data annotators, engineering, and support
  • Excitement for the growth and development of data annotation
  • Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
  • A level of hardcore-ness while still treating people like people
  • Intermediate level understanding of ML

Nice to Have
  • Previous experience leading data annotation teams
  • Technical skills to build tools for data annotation
  • Ability to leverage AI to help improve productivity

At Sunday Robotics, we're building technology shaped by real people - curious, creative, and diverse. We're proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Even if you don't meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent.

Apply