Business Data Expert, Part-Time AI Evaluation - Remote (United States)
OpenTrain AI• Up to $105 per hour
• 100% remote
• Part-time independent contractor
• 20 or more hours a week, you choose when
Turn your data and database experience into sharp reviews of how AI models handle business data questions.
AI training is human review that helps AI systems improve. Subject-matter experts create realistic examples, assess model outputs, and explain what is accurate, useful, and safe. OpenTrain AI evaluates applicants on relevant skills and experience.
## What you will do
• Write data and analytics prompts drawn from real business problems.
• Review model answers for correct analysis and clear storytelling.
• Explain what an executive audience would need instead.
• Work on your own with remote AI research teams.
## Why this is worth your time
• Up to $105 per hour on part-time AI evaluation projects.
• Review AI-generated work and provide structured feedback using your professional expertise.
• Fully remote and flexible, no fixed shifts, no commute
• Turn specialist knowledge into feedback that improves model quality.
## Who this is for
• Experience: four or more years as a data scientist, data analyst, database architect or database administrator.
• Communication: able to explain complex ideas to executive or board audiences.
• Skills: data-driven storytelling, work across teams, and strong judgment when writing prompts and reviewing model answers.
• Language: Fluent English.
## Pay and details
• Up to $105 per hour as an independent contractor.
• Part-time, flexible schedule; fully remote, United States
## How to apply
1. Apply on OpenTrain with your resume: https://app.opentrain.ai/api/out/cmw3tuo6y00d908l3s16yq4th?ch=qajobsboard&sub=p_c122911671a3
2. Complete the application on the hiring site.
3. If shortlisted, take a short AI interview.
This is specialist work you can do remotely, on flexible hours.
## About OpenTrain AI
OpenTrain AI connects experienced professionals with paid, part-time AI training and data-labeling work. Contributors review and improve examples that help AI systems produce useful content.