Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous mathematics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mathematics or related fields, e.g. Algebra, Calculus, Number theory, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous mathematics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mathematics or related fields, e.g. Algebra, Calculus, Number theory, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

• Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights. • Systematically evaluate divergence between professional investment reasoning and AI outputs across corporate, SME and retail banking. • Translate how commercial banks access clients, structure loans and credit facilities, manage balance sheet and risk into problems that push the limits of AI reasoning. • Build and validate real-world credit cases, client-coverage systems and portfolio management frameworks used to evaluate frontier AI systems.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Responsible AI Research Scientist is a strategic member of the Data & AI team. This role drives research at the intersection of machine learning, behavioral science, and AI alignment - advancing Blackbaud’s Responsible AI maturity by designing, implementing, and validating RAI standard-based frameworks, methods, and tools that ensure our AI systems are ethical, inclusive, and effective. This role operationalizes the NIST AI RMF across the product lifecycle - embedding governance, risk mapping, measurement, and ongoing management into development workflows and feature delivery, so our AI capabilities are trustworthy and demonstrably aligned with stakeholder intent. Partnering closely with Data Science, Engineering, Product, Legal, Governance teams, etc., this role serves as a thought leader and subject matter expert for Responsible AI across the enterprise. The Responsible AI Research Scientist will help shape how we innovate responsibly, safeguard organizational trust, and strengthen Blackbaud’s leadership in Responsible AI for social impact. What you'll be doing - Lead the design and execution of research to evaluate and improve the safety, trustworthiness, and alignment of AI systems, with a focus on enterprise-scale impact and regulatory compliance. - Design and conduct research to evaluate and improve the safety, trustworthiness, and alignment of AI systems, with a focus on nonprofit and mission-driven contexts. - Develop and validate scalable evaluation frameworks (aligned to standards such as NIST AI RMF) to measure how well AI systems reflect human intent, ethical standards, and real-world utility. - Advance AI alignment strategies by modeling human preferences and behaviors using both qualitative and quantitative methods. - Contribute to frontier research to anticipate future trends and risks in Responsible AI, integrating foresight and reflection to maximize benefits and avoid harm. - Create and test new technical paradigms for Human-AI interaction, including feedback loops, oversight mechanisms, and interfaces that empower users and stakeholders. - Collaborate with cross-functional teams (Data Science, Engineering, Product, Legal, Governance, etc.) to embed Responsible AI practices and frameworks into the development lifecycle. - Publish research and thought leadership to further position Blackbaud’s Intelligence for Good as a trusted leader in Responsible AI for social impact, including contributions to the Blackbaud Institute and external forums. - Serve as a key advisor to the CDAIO on responsible AI strategy, governance, and risk management. Qualifications - 10+ years of experience working in or with centralized Data & AI teams, and a proven track record in enterprise AI governance, risk management, and regulatory compliance. - Demonstrated expertise in machine learning, AI alignment, and/or Responsible AI research. - Experience developing and validating evaluation frameworks for AI systems (preferably aligned to NIST, ISO, or similar standards). - Strong background in behavioral science, computational linguistics, or related fields. - Track record of publishing impactful research in AI safety, ethics, or alignment. - Ability to translate complex research into actionable recommendations for technical and non-technical audiences. - Motivated by Blackbaud’s mission to amplify social impact through technology. - Demonstrated ability to influence organizational policy and technical strategy. Benefits - Medical, dental, and vision insurance - Remote-flexible workforce - Wellness Programs - 401(k) program with employer match - Flexible paid time off - Generous Parental Leave - Donations for Doers - Pet insurance, legal and identity protection - Tuition reimbursement program