Remote Food Delivery App Tester - UX & AI Feedback

OpenTrain AI, Inc.; United States; Remote; USD 22,000 - 41,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a remote, part-time contractor in the United States to evaluate food delivery, grocery, and restaurant discovery apps for AI training.

Your real-world app usage will help create realistic user scenarios and clear judgments about app interactions. You will use an active food delivery app account with documented order history to generate authentic data, map search journeys, assess result relevance and recommendations, and provide detailed explanations and constructive

Qualifications

• Active food delivery app account with documented order history.
• Strong familiarity with restaurant discovery and food delivery platforms.
• Ability to work independently in a remote setting.
• Clear, detailed explanations and constructive feedback.

Responsibilities

• Use an active food delivery app account and documented order history to provide realistic user data and scenarios.
• Create search intents and document journeys across grocery, restaurant discovery, and food delivery platforms.
• Evaluate and rate the relevance of search results and app recommendations.
• Write queries and walk through structured reasoning about user behavior and app interactions.
• Identify usability issues, recommend improvements, and flag inconsistencies across platforms.
• Keep up with food delivery app features and restaurant discovery trends.

Skills

Active food delivery app account

Documented order history

Familiar with restaurant discovery and

Education

Entry level

Job description

OpenTrain AI, Inc. is seeking a remote, part-time contractor in the United States to evaluate food delivery, grocery, and restaurant discovery apps for AI training.

Your real-world app usage will help create realistic user scenarios and clear judgments about app interactions. You will use an active food delivery app account with documented order history to generate authentic data, map search journeys, assess result relevance and recommendations, and provide detailed explanations and constructive