Jobs at Prolific

Design and prototype applied ML methods to improve human data quality, judgement aggregation, and AI evaluation. Build experiments, benchmarks, and reliability tests; apply classical ML, statistics, LLMs, and agentic techniques. Rapidly prototype with Python, partner with product and engineering to translate methods into scalable platform capabilities, and communicate technical trade-offs to stakeholders.

Manage and optimise GKE Kubernetes clusters using Terraform; implement GitOps (ArgoCD) and developer golden paths; build infrastructure for safe, scalable deployments; support cloud compliance (SOC2, ISO-27001, Cyber Essentials); produce developer-facing documentation; act as GCP/Kubernetes technical lead and participate in on-call rotation.

The People Experience Generalist will support the global team through people operations, enhance employee experience, manage HRIS, and assist with onboarding and engagement initiatives.

Lead and manage product marketing at Prolific, overseeing PMMs, product positioning, messaging, and launch strategies. Conduct market research and enhance sales enablement while building stakeholder relationships.

Lead scoping, design, and delivery of complex human-data projects for AI clients. Own study design, protocols, rater onboarding and QA, pilot execution, and cross-functional coordination to scale repeatable workflows and document playbooks to improve operational readiness and automation.

The Partner Growth Manager will build executive partnerships, drive revenue growth across the partner ecosystem, and represent Prolific at industry events, focusing on relationships in the US research and SaaS sectors.

Design and own end-to-end data quality systems for managed AI data studies: define rubrics, sampling plans, automated checks, launch gates, drift detection, dashboards, and calibration. Investigate integrity issues, run root-cause analysis, build automation in Python/SQL, and partner with Product, Engineering, and Operations to embed quality controls, train reviewers, and scale repeatable quality playbooks across programs.

The role involves training AI models using accounting expertise, including evaluating performance and providing feedback on tasks like financial statement interpretation and tax analysis.

The role involves training and evaluating AI models using real accounting expertise, focusing on financial reporting and management accounting tasks.

The AI Training Specialist will train and evaluate AI models, focusing on tasks like analysis and annotation. Participants must complete verification tests and have experience as AI trainers.

Help train and evaluate AI models with accounting expertise. Complete tasks like analyzing and annotating financial data for AI training.

Participants will complete paid research studies including surveys and behavioural experiments, providing feedback and contributing to quality research outcomes.

As a Study Participant, you will complete various paid research studies, provide feedback, and contribute to high-quality research outcomes.

As an AI Training Specialist, you will train and evaluate AI models, complete AI training tasks, and improve AI performance. Skills verification is required, alongside attention to detail and reliable internet access.

This role involves training AI models using accounting expertise, evaluating AI performance in accounting tasks, and providing feedback for model improvement.

The role involves training and evaluating AI models, conducting AI training tasks, and providing expert feedback on their performance using machine learning skills.

Accountants will train and evaluate AI models using their accounting expertise through tasks such as analyzing and providing feedback on AI performance in accounting-related scenarios.

As an AI Trainer - Machine Learning Specialist, you will provide expert feedback on AI models, complete AI training tasks, and assess AI performance. Candidates must exhibit ML expertise and complete a skills verification test.

As an AI Training Specialist, you will train and evaluate AI models, complete AI training tasks, and improve model performance.

As a Finance Expert, you'll review AI-generated responses to Personal Finance scenarios, rate their quality, and provide structured feedback for improvement.