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Part Time Computational Mechanics Engineer Jobs (NOW HIRING)

University of New Mexico

Lecturer III

Albuquerque, NM · On-site

A team of 19 full-time faculty, and severalresearch and part-time faculty, support the activities ... engineering design, dynamicsystems/controls, fluid mechanics, and computational mechanics, the ...

Talon Analytics

Sr Mechanical Engineer

Tucson, AZ

$89K - $118K/yr

Talon has an office in Tucson, AZ that is providing high fidelity computational models/analysis and technical services support to Fortune 500 companies. We are seeking a Sr. Mechanical Engineer in ...

Lockheed Martin

Computational Designer Staff

Grand Prairie, TX · On-site +1

$19.50 - $24/hr

The team consists of professionals with backgrounds in engineering, physics, visual effects, 3D ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...

Lockheed Martin

Computational Designer Staff

Grand Prairie, TX · On-site +1

$19.50 - $24/hr

The team consists of professionals with backgrounds in engineering, physics, visual effects, 3D ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...

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Part Time Computational Mechanics Engineer information

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$48.5K

$121.5K

$137.5K

How much do part time computational mechanics engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for part time computational mechanics engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Computational Mechanics Engineer vs Part Time Mechanical Engineer?

AspectPart Time Computational Mechanics EngineerPart Time Mechanical Engineer
Required CredentialsBachelor's or Master's in Mechanical Engineering, Computational Mechanics, or related fieldBachelor's or Master's in Mechanical Engineering or related field
Work EnvironmentResearch labs, engineering firms, simulation centersManufacturing plants, design offices, maintenance facilities
Industry UsageSimulation, analysis, and design optimization in engineering projectsProduct design, testing, and manufacturing processes

The Part Time Computational Mechanics Engineer focuses on simulation and computational analysis, often working in research or design environments. In contrast, the Part Time Mechanical Engineer is more involved in practical design, testing, and manufacturing tasks. Both roles require similar educational backgrounds but differ in daily responsibilities and work settings.

More about Part Time Computational Mechanics Engineer jobs
What cities are hiring for Part Time Computational Mechanics Engineer jobs? Cities with the most Part Time Computational Mechanics Engineer job openings:
What are the most commonly searched types of Computational Mechanics Engineer jobs? The most popular types of Computational Mechanics Engineer jobs are:
What states have the most Part Time Computational Mechanics Engineer jobs? States with the most job openings for Part Time Computational Mechanics Engineer jobs include:
What job categories do people searching Part Time Computational Mechanics Engineer jobs look for? The top searched job categories for Part Time Computational Mechanics Engineer jobs are:
Part Time Computational Mechanics Engineer jobs near you
Infographic showing various Part Time Computational Mechanics Engineer job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 3% Part Time, and 14% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Scientific AI Evaluation & Computational Problem Designer

Weekday AI

Remote

$45 - $100/hr

Part-time

Posted 18 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

Apply