engineering
Posted Apr 21Software Engineer, Applied AI
at Mercor
San Francisco, United StatesOn-site
Responsibilities
- requirements and develop technical solutions - Prototype new data types, benchmarks, and evaluation frameworks - Lead technical discussions with customers WHAT MAKES THIS ROLE DIFFERENT - Direct frontier exposure.
Requirements
- ABOUT MERCOR Mercor's mission is to organize human intelligence to power the AI economy.
- We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
- Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone.
- Mercor is creating a new category of work where expertise powers AI advancement.
- You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
- ABOUT THE ROLE As a Software Engineer on Applied AI, you’ll build, deploy, and operate systems that sit directly between frontier AI research and data delivery.
- requirements gathering, creating data creation pipelines, and improving model-adjacent infrastructure, while partnering closely with frontier AI labs and Mercor’s internal teams to ship high-impact applied AI solutions.
- WHAT YOU’LL DO - Partner closely with frontier AI labs to understand their data, post-training, and evaluation needs - Build and operate scalable data pipelines for post-training workflows and model evaluations - Design and build scalable systems for synthetic data generation and data quality, and work directly with customers to understand
- You’ll work closely with researchers at leading AI labs, building infrastructure that directly accelerates cutting-edge research. - Coding + customer work.
- DAY-TO-DAY - Fast-moving, high-ownership environment - Technically demanding, collaborative work - “Building the plane while flying it” - In-person culture (SF, 181 Fremont) - Aligned with frontier research timelines WHAT WE’RE LOOKING FOR - Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.) -
- Experience with model training and inference - Strong grounding in statistical analysis and experimental design for measuring model performance and improvements - Familiarity with evaluation methods for large language models - Comfort working through ambiguity and shipping iteratively YOU’RE LIKELY SOMEONE WHO: - Enjoys ownership and customer-facing problem solving - Thinks entrepreneurially and moves quickly - Balances speed with engineering rigor - Communicates clearly with technical and non-technical