AI / LLM Evaluation QA jobs in Davao, Philippines
A mid-level AI / LLM Evaluation QA in Davao earns a median of ₱890k a year ($16k gross). Davao has about 1.8 million residents and is the 2nd largest of the 5 Philippines cities we list. No AI / LLM Evaluation QA listing is based here today; Philippines has 2, and remote roles can be done from Davao.
AI / LLM Evaluation QA roles near Davao
No AI / LLM Evaluation QA listing is based in Davao today, so these are the nearest in Philippines, then the levels we place here. Placement pay starts at the higher of the city and national median.
AI-Augmented QA Engineer
AGENTIC AI APPLICATION TESTER
Junior AI Quality Analyst
AI Quality Analyst
Senior AI Quality Analyst
Lead AI Quality Analyst
"Talent pipeline" cards are the levels we place, not an employer's vacancy. Real postings are labelled "Market listing". How pay is set.
AI / LLM Evaluation QA pay by level in Davao
Gross annual pay in PHP. Davao is 0.93× the Philippines median (-7%), which is ₱950k at mid-level.
| Level | p10 | Median | p90 | Range | Median (USD) |
|---|---|---|---|---|---|
| Junior | ₱500k | ₱610k | ₱740k | $11k | |
| Mid-level | ₱730k | ₱890k | ₱1.1M | $16k | |
| Senior | ₱1M | ₱1.3M | ₱1.5M | $22k | |
| Lead | ₱1.4M | ₱1.6M | ₱2M | $29k |
Estimates from posted pay ranges, base pay only. Full AI / LLM Evaluation QA salary page for Davao.
What a AI / LLM Evaluation QA does in Davao
Evaluates model outputs, writes rubrics and builds regression sets for AI features.
- Write evaluation rubrics and golden datasets
- Rate and compare model outputs at scale
- Red-team prompts for safety and policy gaps
- Build regression suites for prompt and model changes
- Report quality metrics to product teams
Skills and stack employers ask for
Tools named most often
Time zone
Davao is on Asia/Manila. A 09:00-17:00 day shares 0 h with US East, 1 h with London and 2 h with Central Europe.
AI / LLM Evaluation QA jobs in other Philippines cities
| City | Mid-level median | |
|---|---|---|
| Quezon City | ₱920k | AI / LLM Evaluation QA jobs |
| Manila | ₱1M | AI / LLM Evaluation QA jobs |
| Zamboanga | ₱860k | AI / LLM Evaluation QA jobs |
| Cebu | ₱900k | AI / LLM Evaluation QA jobs |
Other QA roles in Davao
QA jobs, time zone and hiring facts for Davao · AI / LLM Evaluation QA role guide · Hire a AI / LLM Evaluation QA
AI / LLM Evaluation QA jobs in Davao: FAQ
How much does a AI / LLM Evaluation QA earn in Davao?
A mid-level AI / LLM Evaluation QA in Davao earns a median of ₱890k a year ($16k), with a p10 to p90 range of ₱730k to ₱1.1M. Junior pay starts near ₱610k, senior pay is ₱1.3M and leads reach ₱1.6M.
Are there AI / LLM Evaluation QA jobs in Davao?
No AI / LLM Evaluation QA listing is based in Davao today, but Philippines has 2 and AI / LLM Evaluation QA roles open to remote candidates in the same time zone are common. Tell us your city and we alert you when a local role opens.
How does Davao pay compare with the rest of Philippines?
Davao ranks 4th of 5 Philippines cities we track for AI / LLM Evaluation QA pay, at 0.93x the national median (-7%). The national mid-level median is ₱950k, so Davao is below it. Against the US it is 84% below the US median of $100k.
What skills do AI / LLM Evaluation QA jobs in Davao ask for?
Evaluates model outputs, writes rubrics and builds regression sets for AI features. Typical requirements: Prompting, Evaluation design, Python, Domain expertise, Annotation tools. The tools named most often are Python, Jira, Postman.
Can a AI / LLM Evaluation QA work with US or European teams from Davao?
Davao is on Asia/Manila. A 09:00-17:00 day shares about 0 h with US East, 1 h with London and 2 h with Central Europe. 85% of AI / LLM Evaluation QA roles are remote-friendly.
How do I get a AI / LLM Evaluation QA job in Davao with PassRidge?
Tell us your level and stack in the form on this page. A recruiter sends matching roles with the pay shown upfront; it is free for candidates and nothing goes to an employer without your written OK. Our placement range for Davao starts at the higher of the city and national median.