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From Home Computational Designer Jobs (NOW HIRING)

Our work solves the communication bottleneck between humans and computers by decoding thoughts from ... Extensive experience in designing and executing neuroscience studies, including the analysis of ...

Document research findings, algorithm designs, validation results, and technical recommendations ... Equity - Stock Options * 401(k) match * WFH Hardware Bolt is committed to building a diverse and ...

Computational Biologist

San Francisco, CA · On-site

$125K - $185K/yr

You'll have significant ownership from day one, including direct exposure to, and regular meetings ... Collaborate closely with colleagues across disciplines to ensure analyses are well-designed, well ...

Knowledge and experience in working with genomic and genetic data from food animals is preferred ... Skill in formulating hypotheses, finding relevant data, and designing computational experiments.

Knowledge and experience in working with genomic and genetic data from food animals is preferred ... Skill in formulating hypotheses, finding relevant data, and designing computational experiments.

Knowledge and experience in working with genomic and genetic data from food animals is preferred ... Skill in formulating hypotheses, finding relevant data, and designing computational experiments.

Knowledge and experience in working with genomic and genetic data from food animals is preferred ... Skill in formulating hypotheses, finding relevant data, and designing computational experiments.

Knowledge and experience in working with genomic and genetic data from food animals is preferred ... Skill in formulating hypotheses, finding relevant data, and designing computational experiments.

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How much do from home computational designer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for from home computational designer in the United States is $23.71, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $24.04 per hour, depending on experience, location, and employer.

What is a From Home Computational Designer?

A From Home Computational Designer is a professional who uses computer-based algorithms, programming, and software to create, analyze, and optimize design solutions, working remotely from their own home. Their work often involves using tools like Rhino, Grasshopper, and Python to develop complex geometries, simulations, and visualizations for industries such as architecture, engineering, and product design. Working from home allows for flexibility and collaboration with teams or clients worldwide through digital platforms.

How does a From Home Computational Designer typically collaborate with remote teams and clients?

As a From Home Computational Designer, collaboration is often facilitated through digital tools such as video conferencing, project management platforms, and cloud-based design software. You’ll regularly participate in virtual meetings with architects, engineers, or clients to discuss project goals, share progress, and integrate feedback. Strong communication skills are essential, as you’ll need to explain complex design concepts and ensure alignment across dispersed teams. Effective time management and proactive updates help maintain smooth workflows and meet project deadlines.

What are the key skills and qualifications needed to thrive as a From Home Computational Designer, and why are they important?

To thrive as a From Home Computational Designer, you need a solid background in design principles, mathematics, and computer programming, often supported by a degree in architecture, engineering, or a related field. Proficiency with parametric design tools such as Grasshopper, Rhino, Autodesk Revit, and coding languages like Python is typically required. Strong problem-solving abilities, creativity, and effective remote communication skills set top performers apart in this role. These qualifications are crucial for creating innovative, efficient design solutions while collaborating effectively with distributed teams.
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Infographic showing various From Home Computational Designer job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 40% In-person, 40% Hybrid, and 20% Remote job distribution, with an average salary of $49,320 per year, or $23.7 per hour.

Scientific AI Evaluation & Computational Problem Designer

Weekday AI

Remote

$45 - $100/hr

Part-time

Posted 6 days ago


Job description

This role is for one of our clients
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