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Ai Correction Jobs (NOW HIRING)

Sarian, Inc.

Agentic AI Developer

PA · On-site

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 ...

SWITS DIGITAL Private Limited

AI Software Engineer

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 ...

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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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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 Staff Research Scientist, Quantum Error Correction, Quantum AI

Google

Goleta, CA • On-site

$106K - $135K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Google rating

8.9

Company rating: 8.9 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies

Job description

Minimum qualifications:
  • PhD or equivalent experience in a domain relevant to quantum computing, such as math, physics, computer science, or electrical engineering.
  • 10 years of experience in quantum computing research.
  • Research publications in quantum error correction.

Preferred qualifications:
  • Experience in working with quantum error correction experiments.
  • Experience writing software to simulate and study quantum error correction.
  • Research publications in quantum LDPC codes, compiling fault-tolerant algorithms, and circuits for non-clifford gates.

About the job
In this role, you will be a senior researcher on the quantum error correction team within Quantum AI, responsible for setting research agendas into new and improved forms of quantum error correction. You will explore exciting research directions including quantum LDPC codes and compact circuits for non-clifford gates such as magic-state cultivation.
As a Research Scientist, you will actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
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: $262000 - $365000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Develop new quantum codes that achieve high encoding rate, high distance, or favorable layout in hardware.
  • Develop new constructions for non-clifford logical gates.
  • Analyze fault-tolerant circuits for syndrome measurement and logical operations.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
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 .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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