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Specialist QA1.5 million residentsUpdated 2026-10-20

AI / LLM Evaluation QA jobs in Ciudad Juárez, Mexico

AI / LLM Evaluation QA pay in Ciudad Juárez centres on MX$810k ($45k) at mid-level, from MX$670k to MX$990k. Ciudad Juárez has about 1.5 million residents and is the 6th largest of the 10 Mexico cities we list. No AI / LLM Evaluation QA listing is based here today; Mexico has 3, and remote roles can be done from Ciudad Juárez.

MX$810kmedian · mid-level · gross / year · $45k
p10 MX$670kp90 MX$990k
City factor 0.93×Rank 2 of 10
0Open AI / LLM Evaluation QA roles in Ciudad Juárez
3Open in Mexico
MX$550k–MX$1.5MJunior to lead median / yr
6 hDaily overlap with US East
Openings

AI / LLM Evaluation QA roles near Ciudad Juárez

No AI / LLM Evaluation QA listing is based in Ciudad Juárez today, so these are the nearest in Mexico, then the levels we place here. Placement pay starts at the higher of the city and national median.

All AI / LLM Evaluation QA jobs in Mexico

"Talent pipeline" cards are the levels we place, not an employer's vacancy. Real postings are labelled "Market listing". How pay is set.

Pay by level

AI / LLM Evaluation QA pay by level in Ciudad Juárez

Gross annual pay in MXN. Ciudad Juárez is 0.93× the Mexico median (-7%), which is MX$870k at mid-level.

Levelp10Medianp90RangeMedian (USD)
JuniorMX$450kMX$550kMX$680k$31k
Mid-levelMX$670kMX$810kMX$990k$45k
SeniorMX$950kMX$1.2MMX$1.4M$64k
LeadMX$1.2MMX$1.5MMX$1.8M$84k

Estimates from posted pay ranges, base pay only. Full AI / LLM Evaluation QA salary page for Ciudad Juárez.

The role

What a AI / LLM Evaluation QA does in Ciudad Juárez

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

PromptingEvaluation designPythonDomain expertiseAnnotation tools

Tools named most often

PythonJiraPostman

Time zone

Ciudad Juárez is on America/Ciudad Juarez. A 09:00-17:00 day shares 6 h with US East, 1 h with London and 0 h with Central Europe.

FAQ

AI / LLM Evaluation QA jobs in Ciudad Juárez: FAQ

How much does a AI / LLM Evaluation QA earn in Ciudad Juárez?

A mid-level AI / LLM Evaluation QA in Ciudad Juárez earns a median of MX$810k a year ($45k), with a p10 to p90 range of MX$670k to MX$990k. Junior pay starts near MX$550k, senior pay is MX$1.2M and leads reach MX$1.5M.

Are there AI / LLM Evaluation QA jobs in Ciudad Juárez?

No AI / LLM Evaluation QA listing is based in Ciudad Juárez today, but Mexico has 3 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 Ciudad Juárez pay compare with the rest of Mexico?

Ciudad Juárez ranks 2nd of 10 Mexico cities we track for AI / LLM Evaluation QA pay, at 0.93x the national median (-7%). The national mid-level median is MX$870k, so Ciudad Juárez is below it. Against the US it is 55% below the US median of $100k.

What skills do AI / LLM Evaluation QA jobs in Ciudad Juárez 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 Ciudad Juárez?

Ciudad Juárez is on America/Ciudad Juarez. A 09:00-17:00 day shares about 6 h with US East, 1 h with London and 0 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 Ciudad Juárez 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 Ciudad Juárez starts at the higher of the city and national median.

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