WFH.teamOpen app$208k-$832k
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Decision details from the source listing
0-5 years stated
Late-stage PhD candidate, postdoctoral researcher, or early-career academic in computer science or mathematical/computational physics
flexible
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What this posting tells you
Remote contractor role, available part-time or full-time, supporting a customer research project that applies domain expertise to AI training. Work includes proposing research problems, conducting investigations with AI models and agents, verifying results, assessing findings against literature, and documenting outcomes. The listing describes preferred qualifications including late-stage PhD status, postdoctoral research, or 0–5 years post-PhD experience, but does not state compensation.
Customer success, Product
Eligible countries are not stated.
Timezone overlap is not stated.
Late-stage PhD candidate, postdoctoral researcher, or early-career academic · Contractor · Part-time · Full-time
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
Customer success hiring on WFH.team
This role's listed pay is above the median among 192 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketResearch Scientist - Computer Science & Computational Physics at micro1
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
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 qualifications
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.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.