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Ai Annotation Writing Jobs (NOW HIRING)

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 ...

Strategic Projects Lead -- Audio Data

$53 - $71.75/hr

Required : • 3-7+ years of experience in data operations, AI data delivery, annotation operations ... write clear instructions, guidelines, SOPs, customer updates, and internal product specs. • ...

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Strong written grammar skills * Professional verbal and written communication * Able to make ...

Track annotation progress, throughput, and quality metrics. * Maintain annotation dashboards to ... Strong written and verbal communication skills, with the ability to translate technical needs into ...

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Strong written grammar skills * Professional verbal and written communication * Able to make ...

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Ai Annotation Writing information

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How much do ai annotation writing jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for ai annotation writing in the United States is $40.46, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $46.39 per hour, depending on experience, location, and employer.

What is an AI Annotation Writing job?

An AI Annotation Writing job involves labeling, tagging, and annotating text data to help train machine learning models. This can include tasks like identifying sentiment, correcting grammar, or categorizing content. The goal is to provide high-quality data that improves the accuracy of AI systems. Strong language skills, attention to detail, and familiarity with AI concepts are often required for this role.

What are the primary day-to-day responsibilities in an AI Annotation Writing position?

In an AI Annotation Writing role, your daily tasks generally include reading and understanding various types of content, applying accurate labels or tags, and sometimes providing written explanations or classifications based on specific project guidelines. You may work individually or as part of a larger annotation team, often collaborating with data scientists or project managers to clarify requirements and resolve ambiguous cases. Attention to detail is crucial, as the quality of your annotations directly impacts the performance of the resulting AI models. Projects and content types may vary, offering opportunities to develop expertise in different domains and annotation methods.

What are the key skills and qualifications needed to thrive in the Ai Annotation Writing position, and why are they important?

To excel in AI Annotation Writing, you should have strong attention to detail, excellent written communication skills, and a good understanding of data labeling concepts, typically supported by experience in content creation or data management. Familiarity with annotation tools like Labelbox, Prodigy, or similar software, as well as basic knowledge of data privacy standards, is often required. Diligence, patience, and the ability to follow detailed guidelines help differentiate top performers in this role. These skills are critical for producing high-quality, accurate labeling data that is foundational to effective AI and machine learning model training.

More about Ai Annotation Writing jobs
What are the most commonly searched types of Ai Annotation Writing jobs? The most popular types of Ai Annotation Writing jobs are:
What states have the most Ai Annotation Writing jobs? States with the most job openings for Ai Annotation Writing jobs include:
What job categories do people searching Ai Annotation Writing jobs look for? The top searched job categories for Ai Annotation Writing jobs are:
Infographic showing various Ai Annotation Writing job openings in the United States as of June 2026, with employment types broken down into 3% Full Time, 90% Part Time, and 7% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $84,151 per year, or $40.5 per hour.
Data Annotation Lead

Data Annotation Lead

Sunday Inc

Redwood City, CA • On-site

Full-time

Posted 28 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.