Lifestyle AI Recipe Author

The Work

You will create domain guidance that helps an AI assistant in Google Sheets turn plain-language requests into useful, interactive applications. Your work will combine practical lifestyle knowledge, clear writing, spreadsheet building, workflow design, and hands-on review of AI-generated visual applications.

You will own assigned scenarios from the initial discovery questions through the final app update. Relevant examples include fitness tracking, event planning, road trips, and pet care.

• Write original guidance, rules, edge cases, and discovery parameters in the voice of an experienced practitioner.
• Design step-by-step questions that uncover missing details and clarify ambiguous requests.
• Build and verify multi-tab Google Sheets with organized data, formulas, and structured validation.
• Test and improve visual app outputs against practical user needs.
• Take part in quality reviews and final quality sign-offs.

The supplied role details do not list a pay rate. This is a part-time contractor role with a weekly commitment of at least 20 hours.

• Pay:
  Not specified in the supplied role details.
• Hours:
  
  20 or more hours per week.
• Work arrangement:
  Remote and open worldwide.
• Language:
  English.
• Experience:
  
  Direct, hands-on experience with a relevant lifestyle scenario and its practical edge cases.
• Writing:
  Exceptional plain-English writing that sounds like an experienced human practitioner.
• Tools:
  Strong Google Sheets skills, including everyday formulas, data organization, and validation.
• Workflow skills:
  Ability to anticipate user intent and design natural assistant workflows.
• Equipment: A personal desktop or laptop with stable, high-speed internet.
• Education:
  
  A bachelor's degree or equivalent practical experience in any field.
• Helpful but not required:
  Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role.
• You must be able to contribute original domain insight without relying on AI to create that expertise.

AI training is the human work behind systems that understand and respond to people. Contributors write examples, review model outputs, test workflows, and provide practical judgment so AI tools become more useful and reliable.