M
AI Engineering Specialist - PhD
Mercor
2 hours ago
Full-time
On-site
San Francisco, California, United States
Job Description Job Description
About the job Mercor
connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
Benchmark ,
General Catalyst ,
Peter Thiel ,
Adam D'Angelo ,
Larry Summers , and
Jack Dorsey . Position:
Engineering & Software Domain Expert Type:
Contract Compensation:
$65–$105/hour Location:
Hybrid, Bay Area, California Commitment:
40 hours/week Role Responsibilities Evaluate the quality of engineering knowledge work tasks and
AI model outputs . Identify missing behaviors, thin reasoning, and code errors. Develop high-quality instruction specs and golden solutions for engineering problems. Define new tasks reflecting practical engineering work. Design challenging engineering tasks and evaluation sets. Build domain-specific skills and tools with the research team. Collaborate with client researchers and specialists to maintain consistent standards. Translate tacit engineering judgment into explicit criteria. Work independently and asynchronously to meet deadlines while improving
AI model performance . Qualifications Must-Have Bachelor's degree
or higher in computer science, software engineering, or a related field.
MS
or
PhD
preferred. 4+ years
of professional engineering practice, building and shipping production software or systems. Specialization in areas like distributed systems, security, embedded systems, or
machine learning . Progression to a senior level, such as Senior, Staff, Principal, or Engineering Lead. Hands-on use of large language models in professional work. Commitment to
40 hours/week
for an initial 6-month engagement. Reside in the
Bay Area, California , and work on-site as required. Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
About the job Mercor
connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
Benchmark ,
General Catalyst ,
Peter Thiel ,
Adam D'Angelo ,
Larry Summers , and
Jack Dorsey . Position:
Engineering & Software Domain Expert Type:
Contract Compensation:
$65–$105/hour Location:
Hybrid, Bay Area, California Commitment:
40 hours/week Role Responsibilities Evaluate the quality of engineering knowledge work tasks and
AI model outputs . Identify missing behaviors, thin reasoning, and code errors. Develop high-quality instruction specs and golden solutions for engineering problems. Define new tasks reflecting practical engineering work. Design challenging engineering tasks and evaluation sets. Build domain-specific skills and tools with the research team. Collaborate with client researchers and specialists to maintain consistent standards. Translate tacit engineering judgment into explicit criteria. Work independently and asynchronously to meet deadlines while improving
AI model performance . Qualifications Must-Have Bachelor's degree
or higher in computer science, software engineering, or a related field.
MS
or
PhD
preferred. 4+ years
of professional engineering practice, building and shipping production software or systems. Specialization in areas like distributed systems, security, embedded systems, or
machine learning . Progression to a senior level, such as Senior, Staff, Principal, or Engineering Lead. Hands-on use of large language models in professional work. Commitment to
40 hours/week
for an initial 6-month engagement. Reside in the
Bay Area, California , and work on-site as required. Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.