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$100k – $400k per year
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Remote (United States)
Seniority
Senior
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Overview
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Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.

This role is for one of our clients

Compensation: $50 - $200 per hour

A leading AI research organization is seeking advanced LLM power users to evaluate how well AI systems handle personalized, real-world life tasks.

This role is for people who use AI tools heavily in their personal lives and can clearly judge whether an AI response is useful, personalized, realistic, and successful.

Requirements

Who We’re Looking For

Strong candidates have:

  • Heavy personal usage of LLM products
  • Experience using AI for multi-step tasks, planning, research, decision-making, or personal workflows
  • Familiarity with tools such as ChatGPT, Claude, Gemini, Perplexity, Cursor, Windsurf, Codex, or other AI agents
  • Ability to explain what makes an AI output good, bad, incomplete, unsafe, or unrealistic
  • Strong written judgment and attention to detail

Why This Work Matters

LLMs are quickly becoming personal assistants for everyday decisions, but truly useful AI needs to do more than produce generic advice. It needs to understand context, preferences, constraints, tradeoffs, and what success looks like in real life. Your evaluations will help improve how AI systems support people with practical, high-context tasks across food, health, productivity, careers, and learning. This work directly contributes to making AI assistants more personalized, trustworthy, and useful for real-world personal workflows.

Engagement Details

  • Expected commitment: 20-40 hours/week

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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