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Research Scientist - Computer Science & Computational Physics

$100–$400/h

Remote

Role overview

Role Title: Research Scientist - Computer Science & Computational Physics


Role Type: Contractor (flexible, Part-Time or Full-Time)


Location: Remote


micro1 is engaging Research Scientists in Computer Science & Computational Physics to help advance a customer’s high-impact research project. 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. Identify and propose open problems, new bounds, or tractable research challenges in your subfield for rigorous investigation.
  2. Conduct structured research using frontier AI models and agents to attempt proofs, develop algorithms, or run computational simulations.
  3. Systematically verify research outputs by checking proofs, reproducing numerical results, or employing formal tools.
  4. Assess findings for novelty and correctness in direct comparison with recent literature and published results.
  5. Document methodologies, partial results, and encountered challenges through clear and thorough written reports.
  6. Highlight promising new directions and discoveries for deeper exploration by senior research professionals.


Preferred Qualifications

  1. Advanced standing in research: late-stage PhD candidate, postdoctoral researcher, or early-career academic (0–5 years post-PhD) in computer science or mathematical/computational physics.
  2. Recognized by peer community for research excellence, such as best paper or dissertation awards at leading venues (e.g., STOC, FOCS, SODA, PLDI, SC).
  3. Strong publication track record within the past three years, including multiple top-venue papers and recent results addressing named open problems or introducing novel concepts.
  4. Hands-on expertise in computational methods, encompassing simulation, numerical analysis, and algorithmic implementation.
  5. Experience reviewing or sub-reviewing for prominent conferences in your specialty is a plus.
  6. Background in leveraging frontier models, agents, or formal computational tools (e.g., Lean, SAT/SMT solvers) in scholarly work.
  7. Publicly shared research statement or homepage outlining specific open problems currently under investigation.

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Sporterer
Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Sporterer Insights · Approximate figures based on World Bank and ILO estimates
Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →