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Remote Claims Assistant Jobs in Springdale, AR (NOW HIRING)

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

Remote Claims Assistant information

See Springdale, AR salary details

$12

$18

$25

How much do remote claims assistant jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote claims assistant in Springdale, AR is $18.61, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $20.19 per hour, depending on experience, location, and employer.

What is a remote claims assistant?

Remote Claims Assistants are professionals who help process insurance claims from a remote location, often working from home. Their main duties include reviewing claim documents, verifying information, communicating with clients or claimants, and assisting claims adjusters in resolving cases. Using digital tools and secure platforms, they ensure claims are handled efficiently and in compliance with company policies. This role requires strong organizational skills, attention to detail, and the ability to communicate clearly with both customers and colleagues.

What skills and qualifications are needed to be a remote claims assistant?

To thrive as a Remote Claims Assistant, you need strong organizational abilities, attention to detail, and a background in administrative support or insurance claims processing. Familiarity with claims management software, basic data entry tools, and secure document handling systems is typically required. Outstanding communication, time management, and problem-solving skills help you excel in a virtual team environment. These competencies are crucial for ensuring efficient, accurate claims handling and superior customer service from a remote setting.

What are common challenges faced by remote claims assistants and how can they be managed?

Remote Claims Assistants often face challenges such as staying organized while handling multiple claims, maintaining clear communication with claimants and team members across different time zones, and adapting to various claims management systems. To manage these effectively, it's important to develop strong time management skills, utilize digital tools for tracking tasks, and establish regular check-ins with supervisors or peers. Proactive communication and ongoing training on the company's claims process can also help ensure accuracy and efficiency in claim handling.

What are the most commonly searched types of Remote Claims jobs in Springdale, AR?

The most popular types of Remote Claims jobs in Springdale, AR are:

What are popular job titles related to Remote Claims Assistant jobs in Springdale, AR?

For Remote Claims Assistant jobs in Springdale, AR, the most frequently searched job titles are:

What job categories do people searching Remote Claims Assistant jobs in Springdale, AR look for?

The top searched job categories for Remote Claims Assistant jobs in Springdale, AR are:

What cities near Springdale, AR are hiring for Remote Claims Assistant jobs?

Cities near Springdale, AR with the most Remote Claims Assistant job openings:

Infographic showing various Remote Claims Assistant job openings in Springdale, AR as of June 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 27% In-person, and 73% Remote job distribution, with an average salary of $38,719 per year, or $18.6 per hour.

Physics Content Evaluator (LaTeX/Python)

micro1 AI

Fayetteville, AR • On-site, Remote

$80 - $150/hr

Part-time

Posted 18 days ago


Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.