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Ai Correction Jobs (NOW HIRING)

Genius Sports

AI Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... Design workflows that use human review or correction data to improve evaluation, model iteration ...

Genius Sports

AI Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... Design workflows that use human review or correction data to improve evaluation, model iteration ...

Xora Innovation

VP of AI (Xora Portfolio Company)

AI Infrastructure, Applied AI and Deep Tech. We are active as an early-stage venture investor ... correction cycle and production result. * Build Data Infrastructure: Create a scalable data ...

Nuby

Photographer/ AI Content Creator

Monroe, LA · On-site

$30K - $60K/yr

Utilize AI tools to improve image editing, background removal, image enhancement, and creative ... Color corrections * Creative storytelling * Social media content creation * Digital asset ...

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Ai Correction information

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How much do ai correction jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for ai correction in the United States is $16.45, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.31 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in AI correction roles, and how can they be addressed?

Professionals in AI correction often encounter challenges such as managing large volumes of data, identifying subtle algorithmic errors, and maintaining consistency in corrections. These roles typically require close collaboration with data scientists and engineers to ensure feedback is accurately implemented. Addressing these challenges involves developing strong attention to detail, keeping up-to-date with evolving AI models, and leveraging collaborative tools or documentation to streamline the correction process and avoid repetitive errors.

What is the difference between Ai Correction vs Data Annotator?

AspectAi CorrectionData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal credentials, training often provided on the job
Work EnvironmentRemote or office-based, focused on reviewing and correcting AI outputsRemote or on-site, labeling and annotating data for machine learning
Industry UsageAI development, machine learning projectsData preparation for AI and machine learning models
Search & Comparison IntentUnderstanding roles in AI correction processesLearning about data annotation jobs for AI training

Ai Correction involves reviewing and refining AI-generated outputs to improve accuracy, often requiring some technical knowledge. Data Annotator focuses on labeling data to train AI models, typically with minimal formal credentials. Both roles support AI development but differ in tasks and skill requirements.

What is AI correction?

AI correction refers to the use of artificial intelligence technologies to identify and fix errors or inaccuracies in data, text, images, or other digital content. This process can involve tasks such as grammar and spelling correction in documents, enhancing image quality, or identifying and rectifying data anomalies. AI correction systems are commonly used in applications like proofreading tools, image editing software, and quality control in various industries. These systems leverage machine learning models to improve accuracy and efficiency, helping users save time and reduce manual effort.

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

To thrive as an AI Correction Specialist, you generally need a strong background in computer science, data analysis, and a solid understanding of machine learning concepts, often supported by a relevant degree. Familiarity with tools like Python, TensorFlow, and version control systems, as well as experience with annotation platforms, is typical for this role. Attention to detail, critical thinking, and effective communication stand out as crucial soft skills. These abilities are vital to ensure the accuracy, fairness, and reliability of AI systems in real-world applications.
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What cities are hiring for Ai Correction jobs? Cities with the most Ai Correction job openings:
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Ai Correction jobs near you
Infographic showing various Ai Correction job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Temporary. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $34,213 per year, or $16.4 per hour.

Senior Quantum Error Correction Research Scientist, Applied Research

Nvidia

Santa Clara, CA • Hybrid

$115K - $147K/yr

Full-time

Re-posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for passionate technologists with deep quantum computing domain expertise to path-find the future. As a Senior Quantum Error Correction Research Scientist for Quantum Computing Applied Research, you'll focus on technical pathfinding, helping to develop innovative technologies that advance the state of Fault-Tolerant Quantum Computing for Accelerated Quantum Supercomputers, and work with multi-functional teams in Product, Engineering and Applied Research.

Quantum computing is a strategic priority for NVIDIA, and our goal is to help accelerate the entire ecosystem. In this role, you'll join a rapidly growing Quantum Computing team, and work with partners across the industry. You'll help unlock new capabilities in fault tolerance, and bring theory into practice. Do you love developing new technology, enjoy working with collaborative people and teams all around the world, and operating at the speed of light? If yes, we would love to hear from you!

What you'll be doing:

  • Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research

  • Develop novel approaches to decoding quantum error correction codes and their logical operations, including researching advanced implementations in hardware

  • Research and co-design improved methods to achieve more scaled decoders

  • Collaborate with internal teams and external partners on developing technology components to enable a fault-tolerant software stack integrated with quantum hardware

  • Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving

What we need to see:

  • Masters degree in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph.D. preferred)

  • Extensive background in Quantum Information Science with 6+ overall years of experience in the Quantum Computing industry

  • A demonstrated ability to deliver high impact value in quantum error correction and decoding

Ways to stand out from the crowd:

  • Hands-on experience in scientific computing, high-performance computing, applied machine learning, or deep learning

  • Experience with co-design of quantum error correction with quantum hardware or quantum applications

  • Experience with CUDA and NVIDIA GPUs

  • Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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