At Blackbaud, we are committed to building AI systems that are safe, trustworthy, and aligned with human values, especially in service of social impact. Our mission is to empower nonprofits, foundations, and educational institutions through responsible innovation. AI plays a critical role in this journey, and must reflect the needs, behaviors, and values of the communities we serve. About the role 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. What we'll want you to have - 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 Stay up to date on everything Blackbaud, follow us on Linkedin, Twitter, Instagram, Facebook and YouTube ​ Blackbaud powers social impact through purpose‑driven technology and responsible AI. Guided by our Intelligence for Good® vision, we’re building a culture where innovation, trust, and human expertise come together to help organizations make a greater difference in the world. Blackbaud is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. The starting base pay is $176,800.00 to $224,900.00. Blackbaud may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations. Benefits Include: - 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

We are looking for AI Data Specialists to support the improvement of AI-generated content in English. Job Type: Freelance Location: Tennessee (work from home) Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Duration: TBC Rate: 15 USD/hour Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models? What You’ll Do The role involves performing diverse data-related tasks, including: - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data) What we’re looking for: - English Proficiency: Fluent or advanced proficiency in English (levels B2–C2) - AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents #LI-PR15 Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual. RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

About GitHub GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United States Overview At GitHub, we’re building the next generation of AI‑powered developer experiences. We’re looking for a Staff Applied Researcher with deep expertise in Large Language Model (LLM) evaluation, LLM agents, strong engineering instincts, and a bias for action to help shape the future of GitHub Copilot and our AI platform. This is a high‑impact role where you will design evaluation systems that directly influence how millions of developers experience AI every day. Responsibilities Lead Model Quality & Evaluation - Design next‑generation evaluation frameworks for code generation, reasoning, safety, multimodal tasks, and agentic workflows. - Develop scalable automatic metrics, LLM‑judge systems, reward models, and human‑in‑the‑loop evaluation pipelines. - Establish high‑signal, repeatable methodologies that influence product decisions across GitHub AI. Drive Applied Research & Engineering - Build and optimize evaluation tooling, datasets, benchmarking systems, and experimentation pipelines. - Create and onboard new benchmarks for the hardest tasks for the coding agents. - Collaborate closely with engineering teams to productionize research, validate improvements, and accelerate model iteration cycles. - Own end‑to‑end quality insights for the models behind GitHub Copilot and new AI features. - Work closely with product development, engineering, and design teams to integrate advanced research findings into practical applications, ensuring alignment with product goals and user needs. Influence, Mentor & Lead - Shape GitHub’s strategy for model quality, alignment, and evaluation. - Mentor other researchers and engineers, helping elevate technical standards across the organization. - Drive clarity in ambiguous problem spaces and champion fast, high‑quality execution. Qualifications Required Qualifications - Bachelor's degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 8+ years' experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field, - OR master's degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 6+ years' experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field, - OR doctorate in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 4+ years' experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field, - OR equivalent experience. - 3+ years of strong engineering skills in Python/Typescript and experience building production grade evaluation or data/ML pipelines at scale. - Proven track record shipping research or evaluation systems in production environments. - Strong cross‑functional communication and influence skills. Preferred Qualifications - Experience with LLM judge systems, reward modeling, alignment, or safety evaluations. - Background in code generation, developer tools, or AI‑assisted programming. - Experience with large‑scale experimentation and online/offline evaluation strategies. - Open‑source contributions or experience working with developer communities. - Experience designing and leading complex research projects from ideation to implementation - Ability to define and articulate data-driven strategies that consider cross-functional impacts and align with organizational priorities, particularly in a software development platform context Compensation Range The base salary range for this job is USD $140,400.00 - USD $372,300.00 /Yr. These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. GitHub values - Customer-obsessed - Ship to learn - Growth mindset - Own the outcome - Better together - Diverse and inclusive Manager fundamentals - Model - Coach - Care Leadership principles - Create clarity - Generate energy - Deliver success Who We Are GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms. Join us, and let’s change the world, together. EEO Statement GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

Overview Are you passionate about languages, writing, and quality evaluation? We are launching an exciting language evaluation project and are looking for English-speaking experts to join our team. In this role, you will contribute to training AI systems to better understand, generate, and refine language by performing structured evaluation and writing tasks, all from the comfort of your home and on a flexible schedule. What you will do: - Evaluate AI-generated responses for accuracy, grammar, and cultural relevance. - Identify issues and provide refined, high-quality rewritten responses. - Create natural prompts and responses in Mandarin to improve conversational datasets. - Collaborate with global teams to help improve AI language models. Project Details: - Duration: 4 weeks. - Rate: $44USD/hour - Commitment: ~10 to 20 hours/week (flexible schedule). - Job Type: Freelance contract. - Location: Remote (United States) Requirements: - Background as a teacher (preferred but not a must) or experience in teaching/writing in English (US). - Excellent written communication and strong grammatical accuracy. - Familiarity with cultural nuances in English (US). - Comfortable with structured tasks such as: preference ranking (factuality & locality), prompt-response writing, grammaticality checks, provision & improvement of text. Note: Please do not use VPNs or IP-masking tools during the recruitment process — our security system requires accurate regional verification. Why Join Welo Data? ✨ Limitless Flexibility  Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.  🌱 Limitless Growth  Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.  🌍 Limitless Support  Be part of a global contributor community with responsive guidance and support.  💡 Real Impact  Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills. How to Apply? Apply now by answering a few quick questions to join our database and become part of our growing community. About Welo Data Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.