Jobs at Prolific

Prolific seeks Study Participants for academic and applied research. Participants will complete studies such as surveys and feedback tasks. Compensation is up to $18 per hour. Requirements include attention to detail and a reliable internet connection.

As a Study Participant, you will complete academic research studies, answer surveys, and provide feedback to contribute to high-quality research outcomes, with competitive pay rates and flexible hours.

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

The Participant Recruitment Partner will identify and engage top-tier participants, manage client-specific recruitment operations, and enhance the participant pool quality through data-driven insights and collaboration.

Participants will engage in academic and applied research by completing studies, surveys, and experiments. They must focus for one hour, providing constructive feedback, and have a computer with internet access.

As a Study Participant, you will take part in research studies, complete surveys, provide feedback, and contribute to research outcomes. Must have attention to detail and the ability to work from home with a reliable internet connection.

As a Study Participant, you will engage in various research studies, completing tasks like surveys and experiments while providing feedback. Strong attention to detail and a reliable internet connection are necessary.

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.

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.

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 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.

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

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

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

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

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.

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