Remote AI Trainer & Study Participant — Flexible Hours

Prolific; United States; On-site; USD 15,000 - 25,000; Full time

Job summary

Prolific in the United States is seeking AI Trainers/Study Participants from diverse professional backgrounds to contribute to academic and applied research studies. You will be screened quickly and, if selected, paid to participate from home with flexible hours.

Responsibilities include ranking model responses, participating in behavioral experiments, and giving user feedback on new software or product concepts.

Qualifications

• Diverse educational and work backgrounds welcome; data quality and attentiveness required.
• Ability to set up a reliable internet connection and a computer for tasks.
• Payment through PayPal; self‑employment earnings may apply.
• Screening will determine fit for a range of studies.

Responsibilities

• AI Training & Evaluation: rank responses and craft prompts to refine models.
• Behavioral Experiments: participate in decision-making tasks and cognitive games.
• User Research: provide feedback on new software, apps, or product concepts.
• Academic Studies: assist university researchers in psychology, economics, sociology.
• Interviews: engage in one-on-one deep dives about your expertise or lived experience.
• Surveys & Questionnaires: share opinions on current events, consumer habits, or workplace culture.

Skills

Diverse Perspective

Attention to Detail

Technical Setup

PayPal Ready

Education

No High School Diploma / High School Graduates

Trade School & Vocational Professionals (MBO)

Undergraduate & Master's Degree Holders (HBO/WO)

PhD Candidates & Doctoral Researchers

Job description

Prolific in the United States is seeking AI Trainers/Study Participants from diverse professional backgrounds to contribute to academic and applied research studies. You will be screened quickly and, if selected, paid to participate from home with flexible hours.

Responsibilities include ranking model responses, participating in behavioral experiments, and giving user feedback on new software or product concepts.