As of November 10, 2026, the median starting salary is $200,000 a year, measured on the 156 postings that publish an annual salary range in US dollars. Compare with AI salaries by field.
Fine-tuning jobs in San Francisco: 200 open roles
Updated Nov 10, 2026
Live postings that name fine-tuning in the job title or description, located in San Francisco, United States. Each one is rated from Little AI to Builds AI for how much AI is in the daily work.
- open roles
- 200
- Build or work on AI (AI Level 3–4)
- 170
- remote
- 44
Median starting salary: $200,000.
AI level of Fine-tuning jobs in San Francisco
- ●●●● Builds AI131 (66%)
- ●●●○ Works on AI39 (20%)
- ●●○○ Uses AI5 (3%)
- ●○○○ Little AI25 (13%)
Companies hiring for Fine-tuning in San Francisco
Fine-tuning jobs in other cities
Roles that ask for it
Common questions
How much do Fine-tuning jobs in San Francisco pay?
How much AI work do Fine-tuning jobs in San Francisco involve?
As of November 10, 2026, of the 200 live postings: Builds AI ●●●●: 131 (66%); Works on AI ●●●○: 39 (20%); Uses AI ●●○○: 5 (3%); Little AI ●○○○: 25 (13%). See what each level means.
Which companies are hiring for Fine-tuning jobs in San Francisco?
As of November 10, 2026, by number of live postings: Together AI (51), Scale AI (13), Anthropic (12), Thinking Machines Lab (11), OpenAI (8).
Which other cities have Fine-tuning jobs?
As of November 10, 2026, cities with their own list, by number of live postings: New York (109), Seattle (62), Santa Clara (49), San Jose (34), Mountain View (23).
Which skills come up most in Fine-tuning jobs in San Francisco?
As of November 10, 2026, named in the title or description, with the number of postings that mention each: LLM (111), Python (109), Reinforcement learning (100), Machine learning (95), PyTorch (58).
Which roles are open in Fine-tuning jobs in San Francisco?
As of November 10, 2026, by number of live postings: Software engineer (35), Machine learning engineer (19), Research scientist (10), AI engineer (8), Sales (8).
A posting counts when it names Fine-tuning in its title or description. Counted on live postings; the list refreshes every few hours. Levels follow our method.