Participant Recruitment Partner/Sourcer

HUMAN DATA QUALITY ENGINEER (FOUNDING TEAM)    Prolific Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision.   The Role As one of the founding members of Prolific's newly formed AI Data Services team, you'll help build the quality systems behind some of the world's most advanced AI models. Data quality is a strategic priority for Prolific, so this is a high-visibility role with direct exposure to senior stakeholders. This isn't a traditional QA role. We are not looking for someone to review data against a predefined checklist. We are looking for an innovative thinker that can leverage their expertise to define what good means where no definition exists yet. Acting as a strategic thought partner, you’ll work at the intersection of human data, machine learning, evaluation across frontier use-cases that define what high-quality human data looks like for the next generation of advanced AI. This means that much of the work involves novel problems with no established answer, so you’ll be comfortable working through ambiguity.. .  Your primary focus is working directly with clients and alongside frontier AI labs, translating what their models need into robust human data and evaluation strategies. Rather than checking quality at the end of a project, you'll engineer quality into every stage of the lifecycle, from study design and participant strategy through to evaluation, launch readiness and client delivery.You will also work alongside our product engineering, and supply teams to define and build the quality infrastructure that will enable us to deliver high quality human data at scale. Much of the work you'll tackle won't have an existing playbook. You'll help create it.   What You’ll Be Doing * Design the quality frameworks that underpin complex human data programmes, from evaluation rubrics through to launch readiness. * Work with clients as a strategic thought partner, challenging annotation schemas and data requirements when they won't produce the signal the model needs.  * Advise on project design and how the choice of schema can impact data quality. * Build quality upstream across the operational workflow, from recruitment, screening, and training through to writing guidelines and running calibration sessions.  * Build scalable quality systems, measurement frameworks and automated checks using Python and SQL. * Partner with product and engineering to build the quality infrastructure that delivers high-quality human data at scale. * Investigate data quality and integrity issues, identifying root causes and turning insights into scalable improvements. * Architect and build dashboards, monitoring and reporting that provide clear visibility into quality and operational performance. * Raise the quality capability across the company, upskilling operations and acting as a thought mentor to junior analysts. * Help define how Prolific approaches quality across new AI domains, shaping best practice as the team grows. What You’ll Bring to the Role * 5+ years of experience in building quality, evaluation or annotation systems within AI, machine learning, LLMs or human data environments. * Strong Python and SQL skills, with a passion for using data to solve complex quality problems. * A solid understanding of machine learning pipelines and how human data impacts model performance. * Strong analytical and statistical thinking, with experience designing scalable quality frameworks. * The confidence and credibility to interact with stakeholders at frontier labs and act as a partner. * The ability to leverage your experience and expertise to influence and guide stakeholders at every level, both client side and internally. in * The ability to turn your own data analysis and quality methodology into requirements that product and engineering can build into systems. * The ability to explain yout data analysis and findings clearly to non-technical stakeholders, so they can act on them.  * A proactive, builder's mindset -you enjoy creating new systems, navigating ambiguity and improving how things work. Even Better if you have: * Experience with LLM evaluation, RLHF, AI safety or red teaming. * Experience translating vague model or evaluation goals into clear annotation specifications.  * Experience working with human annotation programmes or human data operations. * Familiarity with calibration, inter-rater agreement, drift detection or other evaluation methodologies. Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. At Prolific, our compensation packages for eligible roles include base salary, equity, and benefits. Many roles also include the opportunity to earn a cash variable element, such as a bonus or commission. Each job posting shows a salary range that reflects the minimum and maximum target for new hires, based on the role’s location as well as your skills, experience, and relevant education or training. Your recruiter will also be happy to share the specific salary range for your preferred location during the hiring process.   LINKS TO MORE INFORMATION Website  Youtube  Benefits  External Handbook    Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable’s mission is to bring the power of computing and software development to everyone. We are developing a powerful and extensible platform that our customers can leverage to solve a variety of different problems and workflows. We’ve seen our most sophisticated customers use the product to run global processes across thousands of employees, coordinate precision manufacturing pipelines, and consolidate previously siloed mission-critical data into a single source of truth. The complexity of these use cases requires us to be extremely thoughtful about how we design and implement new functionality in the product and make sure it’s both easy to use and comprehend for our customers and maintainable for us. As a Full-Stack, Backend engineer at Airtable, you will have the opportunity to work with customers to deeply understand their needs and workflows. You will collaborate with cross-functional partners across product management, design, research and data science to create innovative new features that enable our customers to do their best work. You will be responsible for owning and executing the end-to-end implementation of these new features that will contribute to making our toolkit even more powerful and successful. We currently have openings on: * The Admin & Governance Team (Full-Stack/BE) ensures Airtable is secure, compliant, and enterprise-ready. It owns key admin capabilities like the Admin Panel, SSO, and audit systems, as well as foundational features like User Groups. This team's mission is to accelerate organizational value for the largest customers with enterprise-first governance and controls. * The Omni Capability & Quality Team (Full-Stack/BE) brings the power of AI directly to Airtable end users—helping them search, navigate, and operate their bases with ease. While other teams focus on embedding AI throughout the platform and building tools for creators, our mission is simple: make AI immediately helpful with little to no setup. From the moment someone opens a base, installs a solution, or uses a template, AI should be there—ready to assist. Our pod also builds much of Airtable's AI platform that helps other engineering teams produce quality AI products. * The Platform Interoperability Team (Full-Stack/BE) builds the systems that allow agents, integrations, and connected workflows to interact with Airtable as a platform. As AI agents become a primary interface for how work gets done, we're ensuring Airtable is a first-class participant in that ecosystem. This team's mission is to make Airtable the most capable and well-connected platform in the agentic ecosystem. We're building the infrastructure that lets humans and agents alike treat Airtable as a source of truth they can reliably act on, whether through direct integrations, AI-powered workflows, or large-scale data operations. Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are only hiring in the following locations at this time: * Based in the San Francisco Bay Area and are open to coming into our office (Embarcadero) at least ~2-3 times/week for team collaboration * Based in New York City and are open to coming into our office (Soho) at least ~2-3 times/week for team collaboration WHAT YOU'LL DO * Design and build systems that dramatically increase the scalability and performance of all applications built on Airtable, to earn the trust of our customers through predictable, reliable, and thoughtful interactions. * Work at the deep backend of the Airtable software stack within the Enterprise Product portion of the org, just above the Infrastructure org. * Partner with product managers, designers, and data scientists to understand the needs of potential users and build a product that unlocks their potential. * Work alongside and learn from a talented group of engineers with a diverse range of experiences and backgrounds. WHO YOU ARE * You have 8+ years of industry experience with modern systems development, ideally database internals development. * You are interested in programming in TypeScript and Rust. * You are excited by a product-oriented backend role, i.e. not pure Infrastructure. * You have a good understanding of modern web technologies and large-scale web application architecture. * You have a background in computer science or a related field. * You believe the best product is the one that helps users accomplish their goals while growing the business. * You take a thoughtful approach to decision making; knowing when to move fast and when to do things right. * You have strong convictions, weakly held and assume validation and iteration are a given to produce the best results. * You show strong ownership instincts and sweat the details. * You are currently based and/or will be based in the San Francisco Bay Area or New York City. Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant.  VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. ---------------------------------------------------------------------------------------------------------------------------------- Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $213,000—$339,900 USD Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking here. For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.