Tech Lead, Systems & Platform Applied AI
Mercor · San Francisco
CHECKED 13M AGO
Applied AIonsitelead$250k–$500k
At a glance
Highlights
- Own backend services turning human expertise into frontier model training data.
- Build pipeline execution layer powering expert workflows and evaluations at scale.
- Set technical direction while staying hands-on building hardest parts yourself.
What they offer
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k relocation bonus
- $10K housing bonus if within 0.5 miles of office
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
Ideal candidate
A deeply ownership-driven backend builder with 8+ years operating production systems who thrives in ambiguity, mentors senior engineers, and cares about shipping reliable, observable systems that turn human expertise into frontier AI.
Requirements
- 8+ years professional backend engineering experience building and operating production systems
- Strong CS fundamentals in data structures, algorithms, and concurrency
- Hands-on API design experience with versioning, contracts, and backward compatibility
- Solid relational database skills including modeling, indexing, query performance, and safe migrations
- Deep hands-on expertise in distributed systems and designing for partial failure
- Experience with data orchestration and workflow management systems
- Experience running services in production with containers, CI/CD, and monitoring
- Comfort with ambiguity and taking loosely defined problems to a plan
- Clear written and verbal communication
- High ownership, pragmatism, and bias toward shipping
- remote policy
- In-person 5 days a week
Lab profile
About Mercor
AI data company organizing human expertise to train frontier models for the AI economy.
What they build
- APEX benchmark family
- Mercor Enterprise
- Human expertise training data platform
Known for
- Massive domain-expert network
- Frontier model training infrastructure
- Real-world professional work evaluation
Key facts
- Millions of domain experts on platform
- Pays over $4M per day to experts