Jobs Companies Widget Factory Widget Factory Ambassador

Sobre este puesto de Widget Factory Ambassador en Widget Factory

Widget Factory · Remoto · United States

About the Role

Join Widget Factory's Campus Ambassador Program and help build the team reviewing high-quality coding datasets for training next-generation AI systems. As a QA Ambassador, you'll connect your peers with flexible, well-paid technical work while developing recruiting and network-building skills.

This is a flexible, commission-based role - work on your own schedule, earn $50 per successful referral.

What You'll Do

  • Share opportunities: Post Widget Factory openings in CS department Slacks, club Discord servers, and class group chats

  • Connect qualified peers: Identify classmates who are strong engineers, want part-time income, and want flexible work

  • Answer questions: Help peers understand the role, workload, and technical requirements (optional but appreciated)

  • Track referrals: Use your unique referral link to ensure you get credit for successful hires

  • Build your network: Develop relationships with technically skilled peers across campus

What You'll Earn

Performance-based compensation:

  • $50 for getting first 10 people to apply (and pass resume screening)

  • $50 per referral who gets hired and completes 10 hours of QA work

  • +$50 bonus if your referral is promoted to manager

  • Free merch (premium hoodie, t-shirt, stickers) for active ambassadors

Potential earnings: $150-500+/month with 3-5 successful referrals per month

Who We're Looking For

Ideal ambassadors are:

  • Current students in CS, Engineering, or related technical fields

  • Well-connected in campus technical communities (clubs, business or engineering fraternities, department channels, research groups)

  • Passionate about AI/ML and excited to help peers find quality work

  • Comfortable with asynchronous communication and self-directed work

Time commitment: ~2-5 hours/month (highly flexible)

About Widget Factory

Widget Factory is a special, quality-focused division of Idler (a YC S25 company). Idler creates coding reinforcement learning environments, which are used to train and evaluate the performance of world-class frontier AI coding models.

Widget Factory’s team of technical part-timers (including both students and professionals from MIT, CMU, Cornell, UPenn, Citadel, and Microsoft) reviews AI-generated code to ensure training data quality.

Why your peers should work with us:

  • $40/hour for technical assessment work

  • Fully remote - work from anywhere

  • Flexible scheduling - take on work on your own time

  • Real AI impact - your work trains production AI systems

  • Technical growth - exposure to diverse codebases and engineering challenges

How to Apply

Step 1: Fill out the 5-minute application attached.

Step 2: We'll review and respond within 3-5 business days

Step 3: If accepted, you'll receive:

  • Your unique referral tracking link

  • Pre-written job posting templates

  • Suggested campus channels to target

  • Ambassador onboarding guide

Questions? Email [email protected]

FAQ for Ambassadors

Q: How much time does this take?

A: 2-5 hours/month on average. Most ambassadors post once at the start of semester, then share again mid-semester. The rest is answering occasional peer questions.

Q: What if I refer someone who doesn't work out?

A: No problem! You only get paid when referrals are hired AND complete their first problems successfully. There's no penalty for unsuccessful referrals.

Q: How do I track my referrals?

A: We'll provide you with a unique link. Every application that comes through your link is automatically tracked. You'll receive updates when your referrals hit payment milestones.

Q: Is there a limit to how many people I can refer?

A: No limit! Refer as many qualified peers as you'd like. Top ambassadors at some companies earn $1000+ per semester through active referrals.

Q: What makes a "qualified" referral?

A: Strong CS fundamentals, attention to detail, available for ~5-10 hours/week, and interested in AI/ML. Junior/senior undergrads, Master's students, and PhD students tend to be the best-suited applicants, but anybody is invited to apply.

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