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Ai Correction Jobs (NOW HIRING)

Captain, AI

Vacaville, CA · On-site

$12K - $14K/mo

Under the general direction of the Correctional Administrator, DOC, the Captain, AI plans, organizes and directs a program for the safe custody, calssification, discipline, care and treatment of the ...

NY · On-site

$275 - $350/hr

From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate ... Deep Expertise in Quantum Error Correction Theory: A renowned leader in the field with a strong ...

Implement advanced prompting strategies, such as chain-of-thought, reflection, and self-correction loops to enhance agent decision-making. * Tool Integration: Connect AI agents to APIs, databases ...

This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated ...

Build a long-term career in Conversational AI/NLP and Deep Learning. Opportunity to join one of the ... Investigating software-related bugs, troubleshooting, and making necessary corrections to ensure ...

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Ai Correction information

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How much do ai correction jobs pay per hour?

As of Aug 29, 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 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.

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.

More about Ai Correction jobs

What cities are hiring for Ai Correction jobs?

Cities with the most Ai Correction job openings:

What states have the most Ai Correction jobs?

States with the most job openings for Ai Correction jobs include:

Infographic showing various Ai Correction job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $34,213 per year, or $16.4 per hour.

Research Scientist, Quantum Error Correction, Quantum AI

Los Angeles, CA • On-site


Google Inc.
Software Development • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 246 rated software companies

Free food

Great coworkers

People enjoy working here


$147 - $210/hr

Other

Posted 8 days ago


Job description

Mid

Google Goleta, CA, USA ; Los Angeles, CA, USA

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

X Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Goleta, CA, USA; Los Angeles, CA, USA.

  • PhD degree in Quantum Computing domain, such as Math, Physics, Computer Science, Electrical Engineering, or equivalent practical experience.
  • Research publication experience in quantum error correction.
Preferred qualifications:
  • 1 year of experience owning and initiating research agendas.
About the job

As a Quantum Research Scientist, you will develop quantum error correction (QEC) schemes for fault-tolerant quantum computing, specifically focusing on superconducting qubits and high-connectivity platforms. You will develop and analyze QEC for modular architectures, addressing challenges such as entangling links between chips that are slower or more faulty than on-chip gates. Your role involves developing fault-tolerant circuits for logical gates while navigating hardware tradeoffs on connectivity and engineering higher accuracy decoding algorithms for high-connectivity codes, such as Low-Density Parity-Check (LDPC) codes.

Beyond the technical design, you will contribute to the wider research community by sharing and publishing your findings. These contributions will be inspired by internal projects as well as through active collaborations with research programs at partner universities and technical institutes globally. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits.

Learn more about benefits at Google.

  • Develop new quantum codes that achieve high encoding rate, high distance, or favorable layout in hardware. Important examples include LDPC codes and yoked encoding schemes. Adapt error correction circuits to hardware constraints on connectivity.
  • Analyze fault-tolerant circuits for syndrome measurement and logical operations.
  • Simulate quantum codes under noise models and evaluate performance.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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