AI Life Assistant Evaluator Remote Contract

Appsierra Group; United States; On-site; USD 104,000 - 416,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Weekly payments via Stripe or Wise

Job summary

Appsierra Group is seeking a Personalized Life Assistant Expert for a remote contract role in the United States. You will evaluate AI responses to personalized, real-world tasks and assess context, preferences, constraints, and goals.

You will compare outputs, provide precise written feedback, and help improve AI systems for high-context tasks across areas like planning, health decisions, productivity, and learning.

Qualifications

• Based in the United States.
• Extensive personal experience using AI assistants and LLM products.
• Experience with multi-step tasks, planning, research, decision-making or personal workflows.
• Strong written communication and attention to detail.

Responsibilities

• Evaluate AI responses to personalized, real-world life tasks.
• Assess whether an AI response understands context, preferences, constraints and goals.
• Judge responses for usefulness, accuracy, completeness, realism and practicality.
• Identify generic, incomplete, unrealistic or potentially unsafe recommendations.
• Compare different AI outputs and determine how well they address the task.
• Provide clear written reasoning explaining strengths and weaknesses of AI responses.
• Evaluate multi-step AI workflows involving planning, research, decision-making and personal organization.
• Apply consistent judgment across a range of everyday personal scenarios.

Skills

AI evaluation

Critical thinking

Independent work

Written communication

Attention to detail

Tools

ChatGPT

Claude

Gemini

Perplexity

Cursor

Windsurf

Codex

Job description

Appsierra Group is seeking a Personalized Life Assistant Expert for a remote contract role in the United States. You will evaluate AI responses to personalized, real-world tasks and assess context, preferences, constraints, and goals.

You will compare outputs, provide precise written feedback, and help improve AI systems for high-context tasks across areas like planning, health decisions, productivity, and learning.