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Ai Labelling Jobs (NOW HIRING)

Datavant

Clinical AI Data Specialist

New York, NY

Review AI model output labels against clinical documentation to identify false positives, false negatives, and specificity errors; clean and correct label datasets and categorize error patterns for ...

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Datavant

Clinical AI Data Specialist

Review AI model output labels against clinical documentation to identify false positives, false negatives, and specificity errors; clean and correct label datasets and categorize error patterns for ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

Skild AI is building the world's first general purpose robotic intelligence that adapts to unseen ... labeling strategies and tooling for automated annotation, QA workflows, dataset management ...

Create Music Group

Staff AI Engineer

Los Angeles, CA · On-site

The company operates as a record label, distribution company, and entertainment network which ... Job Summary This Staff AI Engineer role sits at the intersection of AI systems architecture and ...

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 ...

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 ...

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 ...

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Ai Labelling information

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How much do ai labelling jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for ai labelling in the United States is $54.42, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $64.90 per hour, depending on experience, location, and employer.

What are some typical challenges faced in AI Labelling roles and how can they be managed?

One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.

What is an AI Labelling job?

An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.

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

To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.

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Ai Labelling jobs near you
Infographic showing various Ai Labelling 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 $113,204 per year, or $54.4 per hour.
AI Research Engineer - Robotics

AI Research Engineer - Robotics

Coram AI

Sunnyvale, CA • On-site

Full-time

Posted 27 days ago

Job description

Job Summary:
Coram AI is reimagining video security for the modern world with their cloud-native platform that utilizes computer vision and AI. The AI Research Engineer will focus on deploying high-performance vision and multimodal models onto robotic platforms, ensuring latency and reliability meet hardware constraints.
Responsibilities:
• Deploy deep learning models on edge devices and in the cloud for real-time inference
• Fine-tune models on proprietary datasets and manage dataset versioning, labeling, and evaluation
• Write high-quality C++ or Rust code for deterministic, low-latency execution
• Build cloud pipelines that process millions of images and video streams in near real time
• Perform model surgery in PyTorch and TensorRT, including pruning, quantization, and graph optimization
• Optimize GPU utilization, memory footprint, and inference throughput
• Build and maintain middleware for real-time IPC between perception, planning, and control systems
• Profile production systems to diagnose memory, compute, and concurrency bottlenecks
• Design rigorous evaluation loops to measure model accuracy, latency, and robustness in field conditions
Qualifications:
Required:
• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field
• 3+ years of experience building robotics, perception, or real-time systems (startup or high-performance production environments strongly preferred)
• Experience deploying neural networks under strict latency constraints where milliseconds matter
• Deep understanding of GPU memory management, batching strategies, and compute optimization
• Strong debugging skills using profilers and low-level performance tools
• Solid experience with PyTorch
• Experience building production systems that must be reliable, observable, and fault-tolerant
• Resilient in challenging and fast-paced environments
• Exceptional written and verbal communication skills in English, with the ability to influence at all levels
• Ability to work in an onsite environment
Preferred:
• Experience with TensorRT and ONNX is highly desirable
• Deep expertise in C++ preferred; strong Rust or Python experience also welcome
• Experience with vLLM, SGLang, or high-performance LLM inference engines is a plus
• Experience deploying multimodal models or LLMs in robotics contexts is a plus
• Experience with distributed systems, structured logging, and observability at scale is a plus
• Familiarity with distributed pubsub, real-time Linux, or embedded GPU platforms is a plus
• Experience working with NVIDIA Jetson, CUDA kernels, or custom accelerators is a plus
Company:
Coram AI develops a video intelligence platform to provide businesses with insights into daily operations. Founded in 2021, the company is headquartered in Sunnyvale, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Coram AI

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Sunnyvale, CA, US

Year founded

2021

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