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Ai Labeler Jobs (NOW HIRING)

DataVisor

AI Engineer

Mountain View, CA · On-site

Label & Rule Tuning Automation Build map-reduce style LLM workflows and analytics pipelines (e.g ... AI infrastructure), ideally for customer-facing SaaS products or internal platform tools.

Tt

AI & Computer Vision Intern

New York, NY · On-site

Support the AI/ML team in labeling and curating datasets for computer vision models, including classification, object detection, instance segmentation, and semantic segmentation. * Work with 2D image ...

Gatik AI

Senior AI Infrastructure Engineer

Santa Clara, CA · On-site

$127K - $173K/yr

Support researchers in building "Data Machines" where AI agents autonomously curate, label, and verify high-priority edge cases from raw data. * Model Management & Lifecycle (MLOps) * Automated ...

Gatik AI

Senior AI Infrastructure Engineer

Santa Clara, CA

$127K - $173K/yr

Support researchers in building "Data Machines" where AI agents autonomously curate, label, and verify high-priority edge cases from raw data. * Model Management & Lifecycle (MLOps) * Automated ...

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$56.08/hr

Annotate and label large datasets for AI/ML training and evaluation tasks across text, tabular, and retrieval workflows. Create labels for query classification, intent detection, entity and time ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Company Overview At Skild AI, we are building the world's first general purpose robotic ... Design labeling strategies and tooling for automated annotation, QA workflows, dataset management ...

Mecka AI

Human Data Architect, Quality

New York, NY · On-site

$130K - $160K/yr

Built a labeling rubric, ontology, or ground-truth spec that a large annotation org executed against in production. * Worked directly with research scientists at frontier AI labs or autonomy ...

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Ai Labeler information

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How much do ai labeler jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for ai labeler in the United States is $13.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $15.38 per hour, depending on experience, location, and employer.

What are AI Labelers?

AI Labelers are professionals who annotate and categorize data, such as images, text, or audio, to help train artificial intelligence and machine learning models. Their work involves identifying objects, tagging features, or providing relevant context so that algorithms can learn to recognize patterns and make accurate predictions. This role is crucial for ensuring that AI systems are trained on high-quality, accurately labeled data, which directly impacts the performance and reliability of the resulting models.

What are the key skills and qualifications needed to thrive as an AI Labeler, and why are they important?

To thrive as an AI Labeler, you need strong attention to detail, basic data entry skills, and familiarity with guidelines for annotating or categorizing data. Experience with labeling platforms, annotation tools, and sometimes basic knowledge of programming languages or image/audio editing software may be required. Reliability, consistency, and the ability to follow detailed instructions are important soft skills in this role. These skills ensure high-quality labeled datasets, which are essential for training accurate and effective AI models.

What are some common challenges faced by AI Labelers, and how can they be overcome?

AI Labelers often encounter challenges such as ambiguous data, balancing speed with accuracy, and maintaining consistency across large datasets. To overcome these, it's important to follow detailed guidelines provided by the company and ask for clarification when instructions are unclear. Regular feedback sessions with team leads or quality assurance specialists help labelers improve accuracy and stay aligned with project standards. Collaborating closely with other labelers and participating in training can also enhance consistency and reduce errors.
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Ai Labeler jobs near you
Infographic showing various Ai Labeler job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $29,053 per year, or $14 per hour.
AI & Computer Vision Intern

AI & Computer Vision Intern

Thornton Tomasetti, Inc.

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Thornton Tomasetti applies engineering and scientific principles to solve the world's challenges. An independent organization of creative thinkers and innovative doers collaborating from offices worldwide, our mission is to bring our clients' ideas to life and, in the process, lay the groundwork for a better, more resilient future. We provide support and opportunities to our employees to achieve their full potential and cultivate a rewarding career.
Our Forensics team works on a wide range of projects involving the built environment, using engineering analysis, data, and technology to help clients understand conditions, evaluate performance, and make informed decisions. As we expand our use of AI and computer vision, we are developing and maintaining datasets and tools that help analyze images and 3D data from structures, and this role will directly support those efforts.
The Role:
We have an opportunity for an AI & Computer Vision Intern for our Forensics Practice.
Responsibilities:
  • Support the AI/ML team in labeling and curating datasets for computer vision models, including classification, object detection, instance segmentation, and semantic segmentation.
  • Work with 2D image datasets (e.g., photos, drone imagery, plan drawings) to draw and review labels for objects and damage types.
  • Work with 3D point cloud models (e.g., structural frames, industrial facilities) to segment and label structural components and other features in 3D space.
  • Assist in developing and refining labeling guidelines, class definitions, and attribute schemas to improve consistency and model performance.
  • Perform quality assurance (QA/QC) on existing labels, identify labeling errors or ambiguities, and suggest corrections and improvements.
  • Help the engineering team prepare example datasets, figures, and visualizations for internal presentations, reports, and publications related to AI model development.
  • Assist in basic data pre-processing and organization (e.g., dataset splitting, file naming, simple scripting) to support experimentation and model training workflows.
  • Collaborate with forensic engineers to understand model objectives and failure modes, and adjust labeling strategies accordingly (e.g., edge cases, hard negatives).

Requirments:
  • Computer vision and AI: basic understanding of common model types (e.g., CNNs, U-Net, Faster R-CNN, YOLO) and tasks (classification, detection, segmentation).
  • Programming and data tools: Python and/or MATLAB for simple data manipulation, visualization, and experiment tracking.
  • Point cloud software: CloudCompare or other point cloud viewing and manipulation software for slicing, filtering, and annotating 3D datasets.
  • Labeling platforms: experience with image or point cloud annotation tools (e.g., Supervisely, CVAT, Labelbox, or similar).
  • A strong interest in applying AI and computer vision to structural and forensic engineering problems is essential.

Compensation
The rate for this position generally is $1 - $400 hourly. This range is a good faith estimate provided pursuant to the New York Pay Transparency Law. It is based on what a successful New York applicant might be paid and assumes that the successful candidate will be in New York or perform the position from New York. Similar positions located outside of New York will not necessarily receive the same compensation. Actual pay rates may vary from the range, as permitted by New York Equal Pay Transparency Law. Compensation offers will be based on various factors, including operational needs, individual education, qualifications and experience, work location and comparison to employee already in the role, as well as other considerations permitted by law. A potential new employee's pay history will not be used in compensation decisions.
Benefits
Depending on your employment status, benefits may include:
  • Medical, Dental, Vision, Life, AD&D, Disability and other voluntary benefits
  • Flexible Spending Accounts for Medical and Childcare
  • Paid Time Off, Family Leave for New Parents, Volunteer Time
  • Tuition Reimbursement
  • Commuter Transit (where available)
  • 401k retirement savings with Company matching on employee contributions and/or qualified student loan repayments
  • Fitness Reimbursement
  • And other various wellness, diversity/inclusion and employee resource programs and initiatives

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Thornton Tomasetti is proud to be an equal employment workplace. Individuals seeking employment at Thornton Tomasetti are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.
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