cover image
Prolific

Prolific

www.prolific.com

4 Jobs

466 Employees

About the Company

Prolific is a technology company building the biggest pool of quality human data in the world—and the ultimate platform to access it.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from real, engaged participants—with a new study launched every 2 minutes.

Prolific has been ranked among the fastest-growing businesses in the Financial Times 1000 in 2024 and the Deloitte Technology Fast 50 in 2023.

Listed Jobs

Company background Company brand
Company Name
Prolific
Job Title
Tech Lead - Cloud Platform
Job Description
Job title: Tech Lead – Cloud Platform Role Summary: Lead the design, implementation, and maintenance of scalable, secure cloud‑platform solutions on Google Cloud (GCP) and Kubernetes. Drive technical direction, mentor engineers, ensure compliance compliance (SOC2, ISO‑27001), and collaborate with product and engineering leaders to deliver developer‑centric, high‑quality infrastructure. Expectations: - 5+ years in GCP and Kubernetes production environments. - Proven leadership of cloud‑platform initiatives. - Demonstrated success building golden‑path, self‑service developer experiences with security and compliance focus. - Strong mentorship, communication, and cross‑functional collaboration skills. Key Responsibilities: - Define and execute technical strategy for cloud‑platform projects. - Design, architect, and optimize Kubernetes & GCP components for rapid, secure application deployment. - Serve as technical advisor to product teams, engineering managers, and leadership. - Mentor platform engineers and promote operational excellence. - Lead SOC2, ISO‑27001, and cloud security initiatives. - Make architectural decisions, set engineering standards, and review technical designs. - Participate in hiring, onboarding, and training of new team members. - Work with stakeholders to define scope, timelines, and resource requirements. Required Skills: - GCP (including GKE, Security Command Center) and Kubernetes expertise. - Experience leading cloud‑platform initiatives. - Developer‑focused design (golden path, self‑service). - Cloud compliance (SOC2, ISO‑27001) and security best practices. - Mentoring and technical leadership. - Strong communication and stakeholder collaboration. - Familiarity with AWS, event‑driven distributed systems, ArgoCD, and related tooling is a plus. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field. - Certifications: Google Cloud Certified – Professional Cloud Architect or equivalent preferred. (Note: ATS‑friendly keywords: GCP, Kubernetes, GKE, SOC2, ISO‑27001, cloud compliance, developer experience, mentorship.)
London, United kingdom
Remote
Senior
05-11-2025
Company background Company brand
Company Name
Prolific
Job Title
AI Training Experts - US (PST)
Job Description
Job Title: AI Training Expert Role Summary: Contribute to the development of advanced AI models by completing high‑quality annotation, evaluation, and refinement tasks. Work independently, typically one hour per task, with flexible hours and remote setup. Expectations: - Provide one hour of uninterrupted, focused work per scheduled task. - Self‑declare earnings and maintain accurate payment records. - Accept a brief skills verification test before joining the participant pool. Key Responsibilities: - Analyze, edit, and generate annotations for image, video, and textual data. - Evaluate AI system performance against defined metrics and provide feedback. - Identify and mitigate errors or biases in model outputs. - Participate in trust and safety reviews, red‑team assessments, and quality analytics. - Collaborate with researchers to iterate and improve model accuracy. Required Skills: - Proven experience in AI training or data annotation (image, video, or text). - Strong attention to detail and capacity for sustained concentration up to one hour. - Reliable, high‑speed internet connectivity and a functional computer. - Familiarity with evaluation and quality analysis processes for AI systems. Required Education & Certifications: - Relevant professional experience in AI training or data annotation; formal degree not required. - PayPal account preferred for payment distribution.
San francisco, United states
On site
27-11-2025
Company background Company brand
Company Name
Prolific
Job Title
Service Delivery Lead (6 Month FTC)
Job Description
**Job Title:** Service Delivery Lead (6 Month FTC) **Role Summary:** Lead service delivery within the Service Reliability team, driving best‑practice service management, incident response, and vendor governance. Own delivery standards, customer experience, and operational excellence for a 6‑month fixed‑term contract. **Expectations:** - Full‑time, 6‑month contract. - 90 % hands‑on involvement in incident management, vendor operations, and process improvement. - Act as the incident lead and primary liaison across Engineering, Product, Operations, and support teams. - Deliver measurable improvements in service reliability, SLO compliance, and customer impact reduction. **Key Responsibilities:** - Build and maintain relationships with cross‑functional teams (Engineering, Product, Operations, Support). - Onboard, monitor, and manage third‑party vendors: governance, controls, performance, contract oversight, cost analysis. - Own risk assessment for critical vendors; develop disaster recovery and continuity plans with business owners. - Configure and maintain incident management tool: feature implementation, innovation, and continuous improvement. - Lead incident bridges, mitigation, and communication to customers and stakeholders. - Coordinate post‑incident reviews, root‑cause analysis, and lessons‑learned with Engineering Managers. - Plan, run, and coach chaos days to identify failure modes and enhance resilience. - Oversee end‑to‑end maintenance, risk assessment, rollout planning, and customer communication for upgrades. - Manage on‑call rotation: financial calculations, tool configuration, runbooks, and alert guidance. - Design and implement service‑management reporting (availability, SLOs, SLAs, incident metrics). - Lead service transitions: pre‑mortem risk assessments, rollout coordination, and stakeholder alignment. - Monitor API endpoint performance, conduct health‑check reviews, and prioritize improvements with Product Managers. - Collect and analyze weekly incident and engineering performance metrics. **Required Skills:** - Service delivery & incident management; tool configuration (e.g., ServiceNow, PagerDuty). - Vendor & third‑party relationship management; risk & compliance oversight. - Strong communication and stakeholder management across technical & business teams. - Process improvement, continuous‑improvement methodology, and agile environments. - Knowledge of SLO/SLA metrics, runbooks, and incident response protocols. - Ability to conduct root‑cause analysis and post‑incident reviews. - Coaching skills for chaos experiments and resilience initiatives. - Data‑driven analysis of incident metrics. - On‑call management and financial tracking. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline. - ITIL Foundation or equivalent service‑management certification preferred. ---
London, United kingdom
Remote
Senior
10-12-2025
Company background Company brand
Company Name
Prolific
Job Title
AI Engineer
Job Description
**Job Title:** AI Engineer **Role Summary:** Design, build, and ship scalable AI systems that collect and validate human-generated data, improving training, evaluation, and alignment of large language models. Lead technical strategy, mentor peers, and collaborate across data science, platform engineering, and research teams. **Expectations:** - Deliver production‑grade AI services that enhance human‑feedback pipelines. - Apply cutting‑edge research to real‑world problems while maintaining reliability and scalability. - Mentor and influence technical culture and best practices. **Key Responsibilities:** - Architect and implement AI solutions (e.g., fraud detection, quality assurance, participant‑task matching). - Develop and deploy LLM‑based agents for data tagging, evaluation judges, and experimental synthetic personas. - Design vector‑search pipelines, advanced profile representations, and scalable storage. - Build observability, evaluation, and monitoring for LLM performance and reliability. - Lead prompt engineering, fine‑tuning, and Retrieval‑Augmented Generation (RAG) initiatives. - Collaborate with cross‑functional teams to create end‑to‑end human‑AI interaction workflows. - Mentor junior engineers and set technical direction across the AI platform. **Required Skills:** - Strong background in Python (FastAPI, Django) and scalable service architecture. - Deep knowledge of modern AI engineering stack: RAG, vector databases, prompt engineering, fine‑tuning, evaluation frameworks. - Proven experience delivering AI/ML features that solve business problems. - Expertise in either software engineering & systems design or machine learning engineering & research. - Familiarity with ML frameworks (PyTorch, TensorFlow, Hugging Face). - Excellent problem‑solving skills and an experimental mindset. **Preferred / Bonus Skills:** - Experience with LLM orchestration (LangChain, LlamaIndex, DSPy, LangGraph). - Agentic system design, tool‑calling, and RLHF pipelines. - Human‑in‑the‑loop data annotation or synthetic data experience. - Building robust AI/ML monitoring and observability systems. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or related field. - Relevant certifications in AI/ML or cloud services are a plus.
London, United kingdom
On site
17-12-2025