Computational Chemistry Expert (PhD)
Micro1 • Remote
Education
Any
Type
hourly
Pay Rate (by country)
$40–$60/hr
Actively Hiring
30 openings
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About this Role
From the Micro1 listing
Job Title: Computational Chemistry Expert (PhD) Job Type: Contractor Location: Remote Job Summary: 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.
Key Responsibilities
- Design, evaluate, and critique advanced computational chemistry workflows to support AI benchmarking initiatives.
- Provide expert-level insights on molecular simulations, electronic structure methods, and cheminformatics pipelines.
- Assess and optimize simulation parameters and scientific software configurations for accuracy and reproducibility.
- Analyze data from molecular dynamics, quantum chemistry, and drug discovery projects, providing actionable recommendations.
- Leverage domain knowledge to guide the development and validation of chemistry-related AI models and tools.
- Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
- Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.
Required Skills and Qualifications
- PhD in chemistry, computational chemistry, or closely related field, or equivalent industry/research experience.
- Deep expertise with computational chemistry methods and simulation-heavy environments is desirable.
- Proficiency with industry-standard tools such as Gaussian, ORCA, Psi4, NWChem, GROMACS, LAMMPS, AMBER, RDKit, or OpenBabel would be ideal.
- Strong scientific programming and analytical workflow experience, especially using Python.
- Excellent quantitative, analytical, and scientific reasoning skills.
- Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
- Track record of rigorous scientific problem-solving in complex chemistry domains.
Preferred Qualifications
- Experience with AI/ML-assisted chemistry workflows or benchmarking.
- Peer-reviewed publications, patents, or contributions to open-source scientific software.
- Background in drug discovery, spectroscopy analysis, or reaction prediction/retrosynthesis.
Requirements
- computational chemistry
- molecular simulations
- python
- gaussian
- gromacs
- lammps
- amber
Key Responsibilities
- Design, evaluate, and critique advanced computational chemistry workflows to support AI benchmarking initiatives.
- Provide expert-level insights on molecular simulations, electronic structure methods, and cheminformatics pipelines.
- Assess and optimize simulation parameters and scientific software configurations for accuracy and reproducibility.
- Analyze data from molecular dynamics, quantum chemistry, and drug discovery projects, providing actionable recommendations.
Why This Role
Shape the "brain" of future AI. By working as a Computational Chemistry Expert (PhD), you ensure that future models understand the nuance of your field. At $50/hr, it's a lucrative way to preserve the integrity of your profession in the digital age.
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Frequently Asked Questions
Can I apply to Micro1 from outside the US or UK?
Yes. Micro1 accepts applicants from most countries worldwide, unlike DataAnnotation or Outlier, both of which cap access to a handful of English-speaking countries. Most roles still require strong written and spoken English.
Does Micro1 monitor your computer while you work?
On many projects, yes, through time-tracking tools that take periodic screenshots to verify active hours. Check the specific project's requirements before accepting if desktop monitoring is a dealbreaker.
What does the Micro1 application process look like?
Expect a screening interview with Zara, Micro1's AI recruiter. Prepare for it like a real video call: good lighting, clear audio, verbal answers to technical questions. A human manager reviews the recording afterward, and some roles add a short skills assessment on top.
Is academic-niche AI training just data labeling?
No, it's closer to academic research. Expect to write or verify complex proofs, solve advanced equations, or check the logic behind a model's step-by-step reasoning. The goal is teaching AI systems to reason deeply within your specific field.
Do I need a PhD for academic-niche AI training roles?
For the top pay tiers, a PhD or current enrollment is usually expected. But the domain assessment is what actually decides it: if you can solve the problems, the degree becomes secondary.
Is academic-niche AI training a continuous job?
Usually not. Work runs in campaigns, like training a model specifically on quantum mechanics, that might last a few weeks. Treat it as a high-paying fellowship or grant rather than a permanent daily job.
What does STEM work look like for a Computational Chemistry Expert (PhD)?
Tasks here are scoped to STEM, not generic labeling. As a Computational Chemistry Expert (PhD), expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.
What does the 'openings' count on this listing mean?
It's Micro1's live count of how many candidates it's still trying to place for this specific role, 30 right now, not a countdown on your individual application. A higher number signals more active demand; it doesn't lower the bar for acceptance.
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