Electrical Engineering: scikit-rf, ngspice (RF systems, circuit simulation) * Astrophysics ... Fully remote with flexible scheduling * Project scope may evolve based on performance and research ...
Electrical Engineering: scikit-rf, ngspice (RF systems, circuit simulation) * Astrophysics ... Fully remote with flexible scheduling * Project scope may evolve based on performance and research ...
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Aurora, IL · Remote
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Fresno, CA · Remote
Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...
Remote STEM Expert
Fresno, CA · Remote
Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...
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San Mateo, CA · Remote
Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...
Remote STEM Expert
San Mateo, CA · Remote
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Hayward, CA · Remote
Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...
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Hayward, CA · Remote
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Bethlehem, PA · Remote
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Bethlehem, PA · Remote
Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...
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Austin, TX · Remote
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Austin, TX · Remote
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Boston, MA · Remote
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Boston, MA · Remote
Mechanical Engineering, Materials, Chemistry, Chemical Engineering, or Electrical Engineering ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...
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Tacoma, WA · Remote
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Tacoma, WA · Remote
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Seattle, WA · Remote
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Fort Worth, TX · Remote
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Remote Computational Chemical Engineering information
See salary details
$92.5K - $98.7K
2% of jobs
$98.7K - $105K
3% of jobs
$105K - $111.2K
3% of jobs
$111.2K - $117.4K
6% of jobs
$117.4K - $123.6K
8% of jobs
$124.5K is the 25th percentile. Wages below this are outliers.
$123.6K - $129.9K
13% of jobs
$129.9K - $136.1K
14% of jobs
The median wage is $136.3K / yr.
$136.1K - $142.3K
16% of jobs
$146.7K is the 75th percentile. Wages above this are outliers.
$142.3K - $148.5K
14% of jobs
$148.5K - $154.8K
17% of jobs
$154.8K - $161K
4% of jobs
$92.5K
$135.2K
$161K
How much do remote computational chemical engineering jobs pay per year?
What is remote computational chemical engineering?
What are the key skills and qualifications needed to thrive as a Remote Computational Chemical Engineer, and why are they important?
What are some common challenges faced by remote computational chemical engineers and how can they be addressed?
What is the difference between Remote Computational Chemical Engineering vs Remote Process Engineer?
| Aspect | Remote Computational Chemical Engineering | Remote Process Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Chemical Engineering, programming skills | Bachelor's/Master's in Chemical or Mechanical Engineering, process knowledge |
| Work Environment | Primarily computer-based, data analysis, modeling | Design, optimize, and troubleshoot industrial processes remotely |
| Industry Usage | Research, simulation, software development | Manufacturing, refining, chemical production |
| Common Search/Comparison | Remote Chemical Engineering roles involving computation | Remote process optimization roles |
Remote Computational Chemical Engineering focuses on modeling, simulation, and data analysis using programming skills, often in research or software development contexts. In contrast, Remote Process Engineer roles involve designing and optimizing chemical processes remotely within manufacturing or production environments. Both roles require chemical engineering credentials but differ in daily tasks and industry focus.

$45 - $100/hr
Part-time
Posted 17 days ago
Job description
Compensation: $45-$100 per hour
We are building a large-scale evaluation benchmark to test advanced AI reasoning across scientific and engineering domains. This role focuses on designing rigorous, research-grade computational problems that assess how effectively AI systems can leverage real scientific software tools to solve complex challenges.
Unlike traditional annotation roles, this position requires creating original, graduate-level problems rooted in real-world scientific workflows. You will iteratively refine these problems through calibration against state-of-the-art AI models, ensuring the right balance of difficulty, depth, and reasoning complexity.
Requirements
What You'll Do
- Design advanced computational problems requiring the use of domain-specific scientific software
- Create tasks that test both precise execution (multi-step workflows, simulations) and strategic reasoning (experiment design, inference from partial data)
- Develop problem setups, solution pathways, and validation mechanisms
- Calibrate and refine tasks based on model performance to achieve target difficulty levels
- Ensure problems emphasize reasoning strategy over brute-force computation
Domains & Tools of Interest
We are particularly seeking candidates with hands-on experience in:
- Bioinformatics & Single-Cell Genomics: scanpy, scvelo, squidpy, gudhi (RNA-seq, trajectory inference, spatial transcriptomics)
- Computational Chemistry: PySCF (HF, DFT, TDDFT, CASSCF, post-HF methods)
- Particle & Nuclear Physics: scikit-hep, Monte Carlo simulations, collider data analysis
- Electrical Engineering: scikit-rf, ngspice (RF systems, circuit simulation)
- Astrophysics & Cosmology: astropy (cosmological modeling, survey analysis)
- Structural & Mechanical Engineering: scikit-fem (finite element analysis, elasticity, beam theory)
- Seismology & Geophysics: ObsPy, SPECFEM (waveform analysis, inversion, tomography)
- Pharmacokinetics & Systems Biology: libRoadRunner, Tellurium, SBML-based tools
Experience with other specialized tools in related domains is also welcomed.
What Makes You a Strong Fit
- Graduate-level expertise (MS or PhD preferred) in a relevant STEM field
- Hands-on experience using scientific software libraries for real research problems
- Strong Python programming skills, including building computational workflows and validators
- Ability to design challenging problems that require deep reasoning rather than surface-level solutions
- Familiarity with edge cases, limitations, and practical challenges of scientific tools
Requirements
- Demonstrated proficiency with at least one relevant scientific library (via research, open-source work, or industry experience)
- Ability to work independently and iterate based on feedback
- Comfort working in Linux/terminal environments and remote compute setups
- Availability of at least 15-20 hours per week
Nice to Have
- Experience across multiple domains or tools
- Background in evaluation frameworks or benchmarking
- Experience in teaching, pedagogy, or problem-set design
- Familiarity with reproducible research practices and containerized environments
Engagement Details
- Independent contractor role
- Fully remote with flexible scheduling
- Project scope may evolve based on performance and research needs
Compensation & Payments
- Competitive compensation based on expertise and domain specialization
- Weekly payments via supported global payment platforms
Additional Information
- Work must not involve sharing confidential or proprietary information from any current or past employer or institution
- Projects may be extended, modified, or concluded based on performance and business requirements
- This opportunity does not currently support certain work authorization categories