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Ai Proofreading Jobs in Virginia (NOW HIRING)

Aston Carter

Paralegal

Fairfax, VA · On-site

$125/hr

Paralegal / Legal Analyst (AI-Driven Legal Support) This role offers an experienced legal ... Advanced legal writing, proofreading, and analytical abilities. * Highly detailed written ...

S&P Global

External Communications Specialist

Centreville, VA · On-site

$53K - $70K/yr

Strong writing, editing, and proofreading skills with attention to detail * Familiarity with generative AI tools and an understanding of how to use them responsibly * Strong organizational skills and ...

S&P Global

External Communications Specialist

Centreville, VA · On-site

$53K - $70K/yr

Strong writing, editing, and proofreading skills with attention to detail * Familiarity with generative AI tools and an understanding of how to use them responsibly * Strong organizational skills and ...

ncmec

Research and strategize ways to use AI tools to improve the web content development process. * Review web pages for quality assurance, including proofreading, link testing, formatting consistency and ...

McGuireWoods LLP

Administrative Assistant-MWC

Richmond, VA · Hybrid

$17.75 - $24/hr

... proofreading, and editing skills * Strong planning and organizational skills * Ability to handle multiple tasks simultaneously * Ability to maintain confidentiality * Interest in using innovative AI ...

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Ai Proofreading information

What is an AI proofreading?

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 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.

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.

What does an AI proofreader do?

An AI proofreader reviews and corrects written content using artificial intelligence tools to identify errors in grammar, spelling, punctuation, and style. They ensure the text is clear, accurate, and consistent, often working with software that automates parts of the editing process. Strong language skills and familiarity with editing software are important for this role.

What are the most commonly searched types of Ai Proofreading jobs in Virginia?

The most popular types of Ai Proofreading jobs in Virginia are:

What are popular job titles related to Ai Proofreading jobs in Virginia?

For Ai Proofreading jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Proofreading jobs in Virginia look for?

The top searched job categories for Ai Proofreading jobs in Virginia are:

What cities in Virginia are hiring for Ai Proofreading jobs?

Cities in Virginia with the most Ai Proofreading job openings:

Ai Proofreading jobs near you
Infographic showing various Ai Proofreading job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution.

AI Engineer - AI+CryoET

Howard Hughes Medical Institute (HHMI)

Ashburn, VA • On-site

$90 - $120/hr

Other

Re-posted 19 days ago

Job description

About the Role

The position is part of the AI+CryoET project at HHMI, focused on developing AI methods for particle detection and structural analysis in cryo-electron tomography (cryoET) data. The role involves collaborating with experimental and computational scientists at several institutions to create supervised and self-supervised model architectures that can detect gold‑nanoparticle probes, identify nucleosome arrangements, and improve tomogram reconstructions.

Responsibilities

• Develop and evaluate deep‑learning models for detecting and localizing gold nanoparticles and macromolecular particles (e.g., nucleosomes, synaptic receptors) in cryoET data.• Design methods that use gold‑nanoparticle detections to improve tomogram reconstruction, addressing challenges such as tilt‑series alignment, deformations, and low signal‑to‑noise conditions.• Build rigorous AI training and evaluation pipelines, including handling of missing‑wedge artifacts, CTF effects, and sim‑to‑real transfer from molecular‑dynamics‑derived synthetic training data.• Identify where additional human annotation and proofreading will be most helpful and guide annotation efforts.• Contribute to scientific publications, present findings at conferences, and maintain a well‑documented codebase that enables reproducibility and extension of results.• Collaborate with interdisciplinary teams across multiple institutions.

Qualifications
  • Master’s or PhD in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related field, or an equivalent combination of education and experience.
  • 3+ years training and evaluating deep‑learning models, especially 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 skills (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 interest in interdisciplinary collaboration.
  • Optional: experience with cryo‑EM/ET data processing, tomographic reconstruction, or related inverse problems; familiarity with molecular‑dynamics simulations (OpenMM, LAMMPS); knowledge of cryoET software tools (IMOD, Warp, RELION, AreTomo) or file formats (MRC, Zarr); experience with template matching or sub‑tomogram averaging; familiarity with differentiable rendering or neural radiance fields.
Benefits
  • Competitive compensation package with comprehensive health and welfare benefits.
  • Supportive team environment that promotes collaboration and knowledge sharing.
  • Access to world‑class computational infrastructure, GPU‑based computing environments, and unique high‑quality cryoET datasets.
  • Opportunities to work directly with leading structural biologists, cryoET experimentalists, and molecular‑dynamics experts on highly interdisciplinary projects.
  • Work‑life balance amenities such as on‑site childcare, free gyms, on‑campus housing, social and dining spaces, and a shuttle bus service to Janelia from the Washington, D.C. metro area.
  • Partnership with frontier AI labs on scientific applications of AI.
Equal Opportunity Employer

HHMI is an Equal Opportunity Employer. We employ a rigorous process to evaluate and provide reasonable accommodations for all applicants.

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