Scientific AI Evaluation & Computational Problem Designer
Location
United States
Posted
52 days ago
Salary
$45 - $100 / hour
Seniority
Mid Level
No structured requirement data.
Job Description
Scientific AI Evaluation & Computational Problem Designer
Weekday
Role Description 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. 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 - 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. Qualifications - 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
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