AI Technology Associate

AI & TECHNOLOGY ASSOCIATE (Entry-Level)

Location:

Remote — Anywhere in the USA (Las Vegas, NV strongly preferred)

Company:

Department:
Technology (cross-functional rotation across DEA, AI, Product, Development, and Data Science)

Type:
Paid, Full-Time

Compensation: $80,000 – $95,000 annually (based on experience and qualifications)

Duration: 6 to 12 months — with a clear path to a permanent role on the DEA, AI, Product, Development, or Data Science team

This is not a traditional internship. This is not a job where you observe. This is a 6-to-12-month entry-level position designed to immerse you in the technical core of Seeking and help you discover which team is the right long-term home for your talents and ambitions.

You will rotate through real work across five teams:

• DEA (Data Engineering & Analytics) – the team that builds and maintains the data infrastructure powering every decision we make. Pipelines, warehouses, dashboards, and the analytics layer that turns raw data into business intelligence.
• AI – the team that researches, develops, and deploys AI/ML models across the platform. Recommendation systems, content moderation, matching algorithms, personalization engines, and experiments with emerging AI capabilities.
• Product – the team that defines what we build and why. Product strategy, user research, design, experimentation, and the end-to-end lifecycle from concept to launch.
• Development – the team that builds the platform itself. Front-end, back-end, mobile, APIs, and infrastructure. In our vision, software will increasingly be written, tested, and deployed with AI as a co-pilot and eventually as the primary author. We need developers who can work in this new paradigm.
• Data Science – the team that turns data into understanding. Statistical modeling, experimentation design, behavioral analysis, and the deep quantitative work that powers our product and business strategy. Data scientists at Seeking don’t just crunch numbers — they uncover the patterns of human behavior that drive every decision we make.

The right candidate for this role is rare: someone who combines deep technical curiosity with the drive and versatility to contribute across multiple disciplines. Specifically:

• You are AI-native. This is the non-negotiable. You don’t just “use” AI — you live in it. You’ve used tools like ChatGPT, Claude, Cursor, Git Hub Copilot, Midjourney, or similar to write code, analyze data, generate designs, automate workflows, or build prototypes. You have a point of view on where AI is heading. You’ve probably built something with AI that nobody asked you to build.
  
  If someone has to explain to you why AI matters, this role is not for you.
• You are a software person at your core. You can code. You understand how software systems work — APIs, databases, front-end and back-end architecture, deployment. Whether your path leads to engineering, data, AI, or product, you speak the language of software fluently. You’ve built things — apps, scripts, tools, automations, models — and you can show them to us.
• You are relentlessly curious. You’re the person who signs up for every beta, reads every changelog, and has an opinion on every new tool before anyone else at your school or job has even heard of it. You investigate what’s next because you can’t help yourself.
• You think in systems. You don’t just see a feature — you see the data that feeds it, the model that powers it, the pipeline that delivers it, the product logic that triggers it, and the user behavior that validates it. You instinctively think about how the pieces connect.
• You have a builder’s mentality. You don’t wait for instructions. You see a problem, you prototype a solution, you test it. You have side projects, experiments, or personal tools you’ve built because you were curious. Your Git Hub (or equivalent) has activity.
• You are hungry. You see this role as a launchpad into a career at the frontier of AI and technology. You want to grow into a data engineer, an AI/ML engineer, a product manager, a software developer, or a data scientist — and you’re willing to outwork and outlearn everyone around you to…