Food Delivery App User Tester

About OpenTrain

OpenTrain is the leading platform for people who want to build careers in AI training and data labeling. We connect contributors to projects across the industry, help members track their work, and support growing a durable freelance career in the human side of AI.

Why AI training matters

AI systems learn from examples created and reviewed by people. Tasks like writing realistic search intents, rating results, and explaining choices directly shape how models understand user behavior in everyday apps.

This kind of work is typically remote and flexible, making it a good fit for part‑time contributors who want hands-on involvement in building safer, more helpful AI.

The role

OpenTrain is recruiting for a remote contractor to support AI training through food delivery and grocery app user testing. This entry-level, part-time project focuses on realistic user scenarios, search intent generation, search relevance review, app recommendation feedback, and usability observations.

• Employment type: Contractor, part-time.
• Time: 20+ hours per week.
• Work is remote and available worldwide; English required.

What you'll do

You will use your own experience as an active food delivery app user to create authentic examples, review results, and explain your reasoning in English. Tasks are text-focused and typically performed in a web or mobile labeling interface.

• Provide realistic user data and scenarios based on your active order history.
• Generate authentic search intents and document user journeys across grocery and delivery apps.
• Evaluate, annotate, and rate search result relevance and app recommendations.
• Write clear explanations of your thought process and decisions in English.
• Identify usability issues, suggest improvements, and flag inconsistencies across platforms.
• Collaborate remotely to support ongoing AI training initiatives.

Requirements

The project requires specific, verifiable subject experience and strong written communication. All required skills below come from the project brief.

• Active food delivery app user with documented order history.
• Familiarity with restaurant discovery and food delivery ecosystems.
• Ability to create realistic search intents and evaluate search result relevance.
• Strong written and verbal English communication skills.
• Comfortable using smartphones or desktops with food delivery apps installed.
• Keen attention to detail and constructive feedback skills.
• Able to work independently and manage remote tasks efficiently.

Helpful background

These are not required but will make your application stronger and may speed onboarding.

• Experience in beta testing or user research for mobile apps or digital platforms.
• Interest in UX, AI, or digital product feedback.
• Exposure to a variety of food delivery platforms and markets.

Pay, data type & tooling

This is paid hourly work billed in USD. The project uses text-focused labeling tasks (classification, evaluation/rating, and text generation) in a web or mobile annotation environment identified as OTHER in the brief.

• Pay: Paid per hour in USD; range noted as $10–$30/hr (rates vary by task and experience).
• Data type: Text (search intents, ratings, short written explanations).
• Label types: Classification, evaluation_rating, text_generation.
• (project will provide tool access and instructions).