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Ai Proofreading Jobs (NOW HIRING)

Motorsport Network

Digital Content Coordinator

Review and publish AI-translated articles for Motorsport.com's Dutch edition. * Perform basic editing and proofreading to ensure content accuracy, clarity and readability. * Select and prioritise ...

proGroupX

Content Manager

Long Beach, CA · On-site +1

Leveraging our email expertise with hundreds of millions of data profiles, our results-driven AI ... Content manager duties include producing and publishing content, writing, editing and proofreading ...

proGroupX

Content Manager

Long Beach, CA · Remote

Leveraging our email expertise with hundreds of millions of data profiles, our results-driven AI ... Content manager duties include producing and publishing content, writing, editing and proofreading ...

WPP Production

Freelance Proofreader

New York, NY · On-site

$21.63 - $48.07/hr

Proofreading marketing collateral, such as comparison signs, collections signs, product pages ... AI and next-generation tools are used to amplify not replace human creativity. With access to ...

WPP Production

Freelance Proofreader

Manhattan, NY · On-site

$21.63 - $48.07/hr

Proofreading marketing collateral, such as comparison signs, collections signs, product pages ... AI and next-generation tools are used to amplify not replace human creativity. With access to ...

CYNET SYSTEMS

Medical Writer I_CO

Indianapolis, IN · On-site

$42/hr

Experience with developing clear prompts for AI content creation and leveraging AI for tasks like outlining and proofreading. Skills: * Strong background in technical writing of Quality controlled ...

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How much do ai proofreading jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for ai proofreading in the United States is $27.65, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $33.65 per hour, depending on experience, location, and employer.

What are some typical challenges faced in AI Proofreading roles?

One common challenge in AI Proofreading is identifying and correcting subtle errors or inconsistencies that automated systems may overlook, such as contextually inappropriate word choices or unnatural phrasing. Additionally, AI proofreaders often work with large volumes of text under tight deadlines, requiring excellent time management and focus. Staying updated with evolving AI tools and platforms is also important, as technologies and workflows can change rapidly. Collaborating closely with content creators, developers, and editors is typical, as teamwork ensures consistently high-quality outputs and alignment with project goals.

Are proofreading jobs being replaced by AI?

Proofreading jobs are increasingly supplemented by AI tools that assist with grammar, spelling, and style checks. However, human proofreaders are still essential for nuanced editing, context understanding, and quality assurance, especially in complex or sensitive texts. AI can enhance productivity but has not fully replaced the need for skilled proofreaders in the industry.

What is an AI Proofreading job?

An AI Proofreading job involves reviewing and refining text using artificial intelligence tools to improve grammar, spelling, punctuation, and clarity. Professionals in this role work alongside AI-powered proofreading software to enhance accuracy, ensure readability, and maintain consistency in writing. They may also provide human judgment where AI falls short, such as contextual nuances and tone adjustments. This job is commonly found in publishing, content creation, academic writing, and corporate communications.

What do AI proofreaders do?

AI proofreaders review and edit written content using artificial intelligence tools to identify and correct grammar, spelling, punctuation, and style errors. They ensure the text is clear, accurate, and consistent, often working with software that automates parts of the editing process and requires familiarity with language rules and editing software.

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

To thrive in AI Proofreading, you need a strong command of language, grammar, and style, along with familiarity with AI-generated content quality standards. Experience with proofreading tools, AI content platforms, and sometimes certifications in editing or linguistics is highly beneficial. Attention to detail, critical thinking, and the ability to adapt to evolving technology are important soft skills in this position. These skills are essential for ensuring AI-generated text is accurate, reads naturally, and meets organizational or client expectations.

How do I get hired as a proofreader?

To get hired as a proofreader, you should develop strong language and grammar skills, often demonstrated through a relevant degree or certification. Building a portfolio of editing work and gaining experience with editing tools or style guides can improve your chances; many employers also look for attention to detail and reliability.

How much do AI proofreaders make?

AI proofreaders typically earn between $15 and $30 per hour, depending on experience, location, and whether they work freelance or for a company. Salaries can vary based on skill level, the complexity of tasks, and the use of specialized tools or software.
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Ai Proofreading jobs near you
Infographic showing various Ai Proofreading job openings in the United States as of June 2026, with employment types broken down into 50% Internship, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $57,520 per year, or $27.7 per hour.
AI Engineer - AI+CryoET

AI Engineer - AI+CryoET

Howard Hughes Medical Institute (HHMI)

Ashburn, VA • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
Howard Hughes Medical Institute (HHMI) is investing significantly to support AI-driven projects in scientific research. The AI Engineer role involves developing AI methods for 3D particle detection and structural analysis in cryo-electron tomography data, collaborating closely with experts across multiple institutions.
Responsibilities:
• Develop and evaluate deep learning models for detecting and localizing gold nanoparticles and macromolecular particles (e.g., nucleosomes, synaptic receptors) in cryoET data, and for identification of nucleosome arrangement and connectivity in chromatin.
• Develop methods to leverage gold nanoparticle detections to improve tomogram reconstruction, addressing challenges in tilt-series alignment, deformations, and low signal-to-noise conditions.
• Design and execute rigorous AI model training and evaluation pipelines, including proper handling of missing wedge artifacts, CTF effects, and sim-to-real transfer from MD-derived synthetic training data.
• Identify where additional human annotation and proofreading will be most helpful and design and guide annotation efforts.
• Contribute to scientific publications, present findings at conferences, and maintain a well-documented codebase enabling seamless reproduction and extension of results.
• Collaborate with interdisciplinary teams across multiple institutions.
Qualifications:
Required:
• Master's or PhD in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related field, or equivalent combination of education and experience.
• 3+ years training and evaluating deep learning models, particularly on 3D or volumetric image data. Experience with detection, segmentation, or inverse problems in imaging is strongly preferred.
• Strong Python skills, and proficiency in PyTorch and/or JAX. Ability to reason about neural network behavior from first principles: how architectural choices, regularization, and training procedures affect model behavior.
• Rigorous experimental design: model comparisons, ablation studies, reproducibility.
• Commitment to open science.
• Experience with scalable GPU-based computing environments on Linux HPC clusters and high-throughput processing for large-scale data.
• Excellent communication skills and keen interest in working in a truly interdisciplinary environment.
Preferred:
• Experience with cryo-EM/ET data processing, tomographic reconstruction, or related inverse problems in imaging.
• Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data generation for training ML models.
• Experience with differentiable rendering, neural radiance fields, or analysis-by-synthesis approaches for 3D reconstruction.
• Knowledge of cryoET software tools (IMOD, Warp, RELION, AreTomo etc.) or microscopy data formats (MRC, Zarr).
• Experience with template matching, sub-tomogram averaging, or particle picking in cryo-EM/ET contexts.
Company:
Founded in 1953, HHMI invests in scientists at all career stages who make discoveries that advance human health and our fundamental understanding of biology. Founded in 1953, the company is headquartered in Chevy Chase, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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