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Ai Annotation Writing Jobs (NOW HIRING)

Data & Annotation Engineer

Washington, DC ยท On-site

$55 - $60/hr

... write-back capabilities. About the Role: As the Data/Annotation Engineer, you'll be hands-on with ... You'll work with the AI Solutions Engineer to ensure the data going into our models is accurate ...

$55 - $60/hr

We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to ... write-back capabilities. About the Role: As the Data/Annotation Engineer, you'll be hands-on with ...

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 : โ€ข Hands-on experience ...

$2 - $5/hr

... AI data projects. The role is designed for reliable contributors who can follow precise guidelines and maintain strong accuracy across large volumes of annotation tasks. Accountabilities * Write ...

$40 - $54/hr

... AI models while working within a quality-focused environment. Accountabilities * Write concise 1-2 ... Maintain a high level of annotation quality, targeting benchmark accuracy of 85-90% or higher.

$120 - $155/hr

Simbe is building the AI powered operating system for physical retail. Our autonomous robots and ... Ability to coordinate across technical and operational teams while still writing code and improving ...

New

$52 - $78/hr

Join us to shape the next frontier of AI-driven robotics! Dyna Robotics makes general-purpose ... Clear written communication and a collaborative attitude Bonus Points For * Hands-on experience ...

New

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How much do ai annotation writing jobs pay per hour?

As of Sep 3, 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?

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 AI annotation writing?

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 AI annotation writing, 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.

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What states have the most Ai Annotation Writing jobs?

States with the most job openings for Ai Annotation Writing jobs include:

Infographic showing various Ai Annotation Writing job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $84,151 per year, or $40.5 per hour.

Data Annotation Specialist

DYNA Robotics Inc

Redwood City, CA โ€ข On-site

Contractor

Re-posted yesterday


Job description

Join us to shape the next frontier of AI-driven robotics!
Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Its frontier model has the top generalization and performance in the industry.
Dyna Robotics was founded by repeat founders Lindon Gao and York Yang, who sold Caper AI for $350 million, and former DeepMind research scientist Jason Ma. The company has raised over $140M, backed by top investors, including CRV and First Round. We're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics.
The Role:
As a Data Annotation Specialist at Dyna Robotics, you will be pivotal in iterating on our AI system by annotating data on various diverse tasks performed by robots. Your will directly influence the performance of our robotic arms, helping them become more accurate and efficient. You will work closely with our engineering and research teams, ensuring data is labeled of the highest quality and meets required standards.
What You'll Do
  • Manually annotate video sequences (boxes/masks/keypoints), track IDs, and label actions & temporal segments
  • Maintain data integrity by applying guidelines and QC checks; resolve ambiguities and fix errors
  • Leverage pre-annotation/autolabeling tools to boost throughput-validate/correct model prelabels and tune auto-tracking/segmentation pipelines

What You'll Bring
  • Associate's or Bachelor's degree (or equivalent experience)
  • Strong attention to detail; consistent application of guidelines
  • Ability to follow detailed instructions and work independently with minimal supervision
  • Clear written communication and a collaborative attitude

Bonus Points For
  • Hands-on experience annotating video (boxes/masks/keypoints, action labels, ID tracking)
  • Proficiency with annotation tools; comfort with pre-annotation/autolabel review and correction
  • Familiarity with QA practices (inter-annotator agreement, spot checks, golden sets)
  • Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs)