Senior Software Domain Expert — GenAI QA & Benchmarks

Mercor

San Francisco (CA)

Hybrid

USD 180,000 - 240,000

Full time

8 days ago

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Job summary

Mercor seeks a senior engineering/domain expert to join a leading AI lab’s GenAI team. You will vet engineering knowledge work tasks, write instruction specs, and build benchmarks to measure model improvement. This is a hybrid Bay Area role with on-site collaboration several days weekly.

You will work with Cincinnatus LLC as the employer of record, contribute to high-impact engineering benchmarks, and help translate tacit judgment into explicit, teachable criteria.

Qualifications

  • Bachelor's degree or higher in computer science, software engineering, or closely related engineering discipline.
  • MS or PhD strongly preferred.
  • Genuine specialization in at least one domain (e.g., distributed systems, ML systems, developer tooling).
  • Senior-level progression with ownership of systems and design decisions.
  • Hands-on experience with large language models in professional work.

Responsibilities

  • Data QA and reviews of engineering knowledge work tasks and model outputs.
  • Write instruction specs and golden solutions for engineering problems.
  • Design benchmarks and domain-specific evaluation sets.
  • Calibration with client researchers to maintain consistent standards.

Skills

Data QA
Instruction specs
Benchmarks design
Calibration
AI fluency
Technical communication
Availability 40h/wk

Education

Bachelor's degree in computer science/engineering or related field
MS or PhD strongly preferred

Job description

Mercor seeks a senior engineering/domain expert to join a leading AI lab’s GenAI team. You will vet engineering knowledge work tasks, write instruction specs, and build benchmarks to measure model improvement. This is a hybrid Bay Area role with on-site collaboration several days weekly.

You will work with Cincinnatus LLC as the employer of record, contribute to high-impact engineering benchmarks, and help translate tacit judgment into explicit, teachable criteria.

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