GenAI Contractor

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

EarnIn's Gen AI Team is on a mission to deliver the best agentic experience for our customers — accurate, fast, and set up for success. At the heart of that mission is Evaluation-Driven Development (EDD): a closed loop of human judgment and calibrated LLM scorers that lets us ship new chatbot capabilities with confidence, measure performance in real time, and tie every change to business outcomes.

To help us execute on this vision, we are hiring a Gen AI Contractor for the Analytics Engineering Team. This position will be based in Bengaluru, India, as part of our expanding site, and is a contract role from July 2026 to February 2027, targeting university students. This role requires two days a week in the office as part of our growing site location.

• →Help build and run evaluations for our LLM-powered chatbot systems, contributing to our goal of making evals a standard practice across all teams at EarnIn
• →Support the design and calibration of LLM-as-judge scorers, working closely with subject matter experts (SMEs) to align automated scoring with human ground truth
• →Contribute to conversation simulation and replay infrastructure — a core building block of our automated research loop
• →Assist with real-time observability tooling to detect chatbot performance degradation before customers feel it
• →Help analyze production conversations and surface insights that drive chatbot improvements
• →Work alongside ML engineers and analysts to iterate on prompt mutations, model changes, and evaluation pipelines

• Actively pursuing a bachelor's, master's, or PhD in Computer Science, Mathematics, Physics, or any engineering field
• Genuine curiosity about large language models, AI evaluation, and building reliable Gen AI systems
• Familiarity with Python and comfort working with APIs, data pipelines, or scripting
• Basic understanding of NLP concepts or hands-on experience with LLMs (even through personal projects or coursework) is a plus
• Strong understanding of probability theory and stochastic systems is a significant plus
• Strong analytical thinking — you ask "how do we know this works?" before shipping
• Clear written and verbal communication; you can translate findings for both technical and non-technical audiences
• Self-directed and thorough — you take ownership, follow through, and don't leave things half-done

#LI-Hybrid