Multidisciplinary AI Trainer & STEM Evaluator
Resume:
Joseph Viane
AI Trainer & Generalist Expert Chemistry · Biology · Physics · Mathematics · CS · Cybersecurity Location: San Antonio, TX
PROFESSIONAL SUMMARY
Multidisciplinary STEM professional holding both a Bachelor's and Master's degree from Texas A&M University, with deep academic expertise spanning Chemistry, Biology, Physics, Mathematics, Computer Science, Cybersecurity, and Engineering. Experienced in applying rigorous scientific reasoning, structured analytical thinking, and evidence-based communication to complex technical challenges across multiple domains simultaneously. Skilled at evaluating the accuracy, coherence, and depth of STEM content — directly applicable to LLM training, AI response evaluation, and domain expert annotation tasks at both Bachelor's and Master's level. Strong written communicator with the breadth of knowledge and intellectual range required to challenge and improve the world's most advanced AI systems across any subject area. PROFESSIONAL EXPERIENCE
AI Trainer & Multidisciplinary STEM Research Analyst 2022 – Present Research & Technology Organization Texas, USA (Remote)
• Evaluated and tested Large Language Model outputs across chemistry, biology, physics, mathematics, computer science, and cybersecurity domains — identifying reasoning errors, factual inaccuracies, and response quality gaps using structured evaluation frameworks at both undergraduate and graduate levels.
• Applied deep multidisciplinary STEM knowledge to assess AI-generated content from multiple scientific and technical angles, delivering precise written rationales for evaluation decisions without reliance on AI writing tools.
• Produced original mathematical solutions, scientific explanations, and technical analyses across all STEM domains — demonstrating graduate-level knowledge depth required for master's-level AI training tasks in chemistry, physics, mathematics, and computer science.
• Conducted pairwise comparisons of AI-generated STEM responses, evaluating scientific accuracy, logical coherence, solution methodology, and domain-specific correctness across high-volume annotation workstreams.
• Applied detailed evaluation rubrics and project-specific guidelines accurately and consistently across 50+ monthly content reviews — maintaining rigorous evaluative integrity including unfavourable assessments where evidence warranted.
• Collaborated asynchronously with distributed research teams, communicating technical findings and evaluation rationales through precise written documentation aligned to evolving project guidelines.
Cybersecurity & Data Systems Analyst 2021 – 2022
Technology & Security Consultancy Texas, USA
• Assessed network security architectures, vulnerability profiles, and threat models across client systems — applying advanced knowledge of cybersecurity principles, cryptography, systems engineering, and risk analysis to produce structured evaluation reports.
• Conducted technical research on emerging cybersecurity threats, attack vectors, and mitigation strategies, synthesizing findings into clear, well-evidenced written briefings for technical and non-technical stakeholders.
• Applied logical reasoning and structured problem decomposition to analyse complex security scenarios, producing detailed written assessments that demonstrate the rigorous analytical thinking required to train and challenge advanced AI systems.
• Documented technical processes, system architectures, and security protocols with precision — building a strong track record of accurate, structured technical communication across engineering and cybersecurity domains.
STEM Teaching Assistant & Academic Tutor 2019 – 2021 Texas A&M University College Station, TX
• Supported undergraduate and graduate instruction across chemistry, biology, physics, mathematics, and computer science modules — translating advanced STEM concepts into structured, accessible explanations for diverse learner groups.
• Evaluated student assignments, laboratory reports, and mathematical proofs against detailed marking rubrics — providing precise written feedback identifying specific reasoning gaps, calculation errors, and areas for improvement across multiple scientific disciplines.
• Designed assessment materials and exam questions across chemistry, physics, and mathematics, applying graduate-level subject knowledge to ensure scientific accuracy, logical rigour, and appropriate cognitive challenge.
• Delivered one-on-one tutoring in chemistry, physics, mathematics, and computer science — developing exceptional skills in communicating complex STEM content with clarity and precision applicable to AI training and evaluation tasks. Quantitative Research Analyst 2018 – 2019
Data & Engineering Consultancy Texas, USA
• Applied advanced mathematical and statistical methods to analyse quantitative datasets, producing structured analytical reports with clear working, interpretation, and evidence-based conclusions across engineering and applied science contexts.
• Designed and implemented computational models for applied mathematics and data problems, demonstrating strong cross-disciplinary quantitative competency directly applicable to AI mathematics training tasks.
• Reviewed and evaluated quantitative technical content for mathematical accuracy and logical coherence — identifying errors in reasoning chains and documenting findings with precise written corrections.
EDUCATION
Master of Science — Computer Science & Engineering 2020 – 2022 Texas A&M University College Station, TX
• Advanced coursework in algorithms, machine learning, cybersecurity, software engineering, computational mathematics, and AI systems.
• Research focus: applied evaluation frameworks for AI-generated STEM content — directly applicable to LLM training data quality assessment across all science and engineering domains. Bachelor of Science — Natural Sciences (Chemistry, Biology, Physics, Mathematics) 2016 – 2020
Texas A&M University College Station, TX
• Multidisciplinary natural sciences degree spanning organic and inorganic chemistry, molecular biology, classical and quantum physics, pure and applied mathematics, and engineering fundamentals.
• Laboratory research across chemistry, biology, and physics — experimental design, data collection, quantitative analysis, and structured scientific report writing.
• Strong mathematical foundation: calculus, linear algebra, probability, statistics, differential equations, and discrete mathematics.
CORE COMPETENCIES
AI Training & LLM Evaluation Chemistry Biology Physics Mathematics Computer Science Cybersecurity
Scientific Reasoning Mathematical Proof & Solution Writing Structured Technical Writing Pairwise Comparison
AI Data Annotation Evaluation Guideline Application Independent Judgment Remote Self-Directed Work
TECHNICAL SKILLS
STEM Domains: Chemistry, Biochemistry, Molecular Biology, Classical & Quantum Physics, Pure & Applied Mathematics, Computer Science, Cybersecurity, Engineering Mathematics: Calculus, Linear Algebra, Real Analysis, Probability & Statistics, Discrete Mathematics, Differential Equations
Programming: Python (NumPy, SciPy), SQL, Java, MATLAB, C++ — scientific computing and data analysis
Research Tools: Scientific literature databases, structured literature review, primary source analysis, LaTeX
Productivity: G-Suite, Microsoft Office, remote collaboration platforms, async communication tools
KEY ACHIEVEMENTS
• Delivered 50+ structured STEM content evaluations per month across chemistry, biology, physics, mathematics, and computer science — maintaining high accuracy and guideline adherence with honest critical judgment throughout.
• Applied graduate-level mathematical knowledge to verify AI-generated proofs, derivations, and quantitative reasoning chains — producing precise correction rationales with full working across algebra, calculus, and statistics domains.
• Supported 40+ undergraduate and graduate students per semester as a teaching assistant across multiple STEM disciplines — consistently praised for depth of subject knowledge and clarity of technical explanation.
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