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Remote Computer Science Postdoc Jobs in New York, NY

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

Showing results 21-40

Remote Computer Science Postdoc information

See New York, NY salary details

$27.4K

$64.6K

$91.4K

How much do remote computer science postdoc jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote computer science postdoc in New York, NY is $64,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,600.00 and $72,800.00 per year, depending on experience, location, and employer.

What is a remote computer science postdoc?

A Remote Computer Science Postdoc is a postdoctoral research position in the field of computer science that allows the researcher to work from a location outside of a traditional academic or research institution, often from home or another remote location. These positions typically involve conducting independent or collaborative research under the guidance of a principal investigator, publishing papers, and contributing to ongoing projects. Remote postdocs leverage digital communication tools to collaborate with their teams and may also participate in virtual conferences and seminars. This flexibility can make it easier to balance work with personal commitments and collaborate internationally. However, it also requires strong self-motivation and communication skills to succeed.

What are some common challenges faced by remote computer science postdocs when collaborating with research teams?

Remote Computer Science postdocs often navigate challenges such as time zone differences, limited face-to-face mentorship, and building rapport with team members. Effective communication tools and regular video meetings are crucial for maintaining strong collaboration and ensuring research progress. Proactively seeking feedback and participating in virtual lab meetings can help remote postdocs stay engaged and integrated with their research groups.

What are the key skills and qualifications needed to thrive as a remote computer science postdoc, and why are they important?

To thrive as a Remote Computer Science Postdoc, you need a PhD in computer science or a related field, strong research and analytical skills, and a track record of scholarly publications. Familiarity with advanced programming languages, statistical analysis software, and collaborative research platforms is typically expected. Excellent written communication, self-motivation, and time management are vital soft skills for excelling in a remote academic environment. These competencies ensure that you can independently drive impactful research while effectively collaborating and sharing findings with the broader scientific community.

What are the most commonly searched types of Computer Science Postdoc jobs in New York, NY?

The most popular types of Computer Science Postdoc jobs in New York, NY are:

Infographic showing various Remote Computer Science Postdoc job openings in New York, NY as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $64,572 per year, or $31 per hour.

AI Training Specialist - Physics

micro1 AI

Elizabeth, NJ • On-site, Remote

$80 - $150/hr

Part-time

Posted 14 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.