Automation & Data Engineering Fellow

FairwAI · Remote · Intern · 8 weeks

Why this role exists

FairwAI runs real businesses with AI agents. Our first live deployment is a premium door-to-door transportation service operating nationwide. It wins customers on online marketplaces and through inbound requests, where speed decides who gets the job. We need reliable automation and clean data behind it, built as small, well-defined pieces that you can ship and we can verify.

What you'll build

• Milestone 1: A listing monitor that watches online marketplaces, catches new opportunities within minutes, and sends them to a queue, with retries, logging and alerts
• Milestone 2: A data pipeline that loads leads, bids and outcomes into PostgreSQL, with a dashboard showing volume, response time and win rate by channel
• Milestone 3: Automated tests and monitoring for our bidding and follow-up flows, so failures are caught in minutes, not days

Stack

Python or TypeScript · Playwright where no API exists · REST APIs · PostgreSQL · AWS or GCP · Git

You're a fit if you

• Have 2+ years building automation, scrapers or data pipelines that ran reliably in production
• Have a public GitHub history or code samples we can review
• Handle logins, rate limits, retries and changing page layouts without hand-holding
• Write clear English and give short written updates every week
• Can overlap at least 4 hours a day with US Eastern time

How this works

• You never pay us anything. If anyone asks you for a fee, it is not us
• We start with a short test task and a video call, then move to Milestone 1
• You work in our repositories with limited access. No customer, payment or driver data is shared
• A short contributor agreement with IP assignment is signed before work begins
• After the deliverables ship, you get a written reference confirming what you built

Not a fit if

• You plan to hand the work to someone else or resell it
• You want a title without shipping the deliverables

To apply

Please answer in your application: (1) Describe an automation or data pipeline you built that ran unattended. What broke, and how did you make it reliable? (2) Link your GitHub or a code sample. (3) State your weekly availability.

What we offer

• Real-world experience building production automation and data systems
• Support for CPT and OPT for eligible students
• The chance to work with leaders from Oxford, Columbia and MIT
• A written reference confirming what you built

International students welcome. We support Curricular Practical Training (CPT) and Optional Practical Training (OPT) for F-1 students. Fellows on CPT can count this role toward their degree program, and we will provide the offer letter and any documents your school's Designated School Official needs to authorize it. Fellows on OPT, including post-completion OPT, are welcome to apply. We may also be able to support STEM OPT extensions for eligible fellows, depending on the role and timing. Please mention your work-authorization status in your application so we can plan your start date around it.

Meet your team

Mr. Dixon – Chief Strategist. Leads overall strategy, institutional partnerships, and the operating systems behind FairwAI's businesses.

Bio: Mr. Dixon is a serial founder, public interest technologist, and global strategist who builds ventures at the intersection of technology, governance, and equity. He is a strategic advisor at MIT, collaborating across the MIT Media Lab and the Martin Trust Center. He has served as a policy strategist to a head of state, worked with the U.S. Department of Energy on distributed energy infrastructure, and led multi-million-dollar public-private partnerships with organizations including GE Healthcare, USAID, and UNICEF. He is an executive at SolarFi, a social enterprise that builds portable solar-powered infrastructure for clinics and schools serving over 600,000 people.

This fellowship is unpaid. We offer great experience, strong mentorship and a real reference.