Thriveth

The AI job market, made clearer

Find work worth
your expertise.

Back to all jobs
Added New on Thriveth

Research Scientist - Computer Science & Computational Physics

In this role, you'll apply your expertise to help train next-generation AI systems.

Remote$100–$400 per hour
Hiring companyMicro1
Application process4.3 / 5Based on 6 reviews
Work experience4.7 / 5Based on 7 reviews

About the role

micro1 is engaging Research Scientists in Computer Science & Computational Physics to help advance a customer’s high-impact research project.

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.

Responsibilities

  • Identify and propose open problems, new bounds, or tractable research challenges in your subfield for rigorous investigation.
  • Conduct structured research using frontier AI models and agents to attempt proofs, develop algorithms, or run computational simulations.
  • Systematically verify research outputs by checking proofs, reproducing numerical results, or employing formal tools.
  • Assess findings for novelty and correctness in direct comparison with recent literature and published results.
  • Document methodologies, partial results, and encountered challenges through clear and thorough written reports.
  • Highlight promising new directions and discoveries for deeper exploration by senior research professionals.

Preferred skills

  • 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.
  • Recognized by peer community for research excellence, such as best paper or dissertation awards at leading venues (e.g., STOC, FOCS, SODA, PLDI, SC).
  • 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.
  • Hands-on expertise in computational methods, encompassing simulation, numerical analysis, and algorithmic implementation.
  • Experience reviewing or sub-reviewing for prominent conferences in your specialty is a plus.
  • Background in leveraging frontier models, agents, or formal computational tools (e.g., Lean, SAT/SMT solvers) in scholarly work.
  • Publicly shared research statement or homepage outlining specific open problems currently under investigation.

Schedule details

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

Eligibility

Work arrangement: Fully remote

Location: Remote.

Compensation details

$100–$400 per hour.

More about the hiring companyMicro1
Posting details

Employer posted

Find AI-training work. Know what to expect.

Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.