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:
Customer Success Engineer (Lat Am) Type:
Contract Compensation:
$35,000–$50,000/year Location:
Remote Commitment:
Substantial overlap with Pacific Time (PT/PST) Role Responsibilities Investigate talent-reported issues end-to-end. Reproduce bugs, identify root causes, and separate UX friction, model edge cases, and system defects. Debug across our
AI
+
Saa S
stack using telemetry, logs, network inspection, and database queries to understand production behavior. Triage with sound judgment. Escalate true engineering issues and resolve others via configuration, prompt refinement, or clear user guidance. Surface systemic patterns and product risks to engineering and product leadership.



Create clear documentation and runbooks to reduce repeat issues and improve resolution speed. Communicate with precision, professionalism, and empathy. Qualifications Must-Have Ability to debug web applications. Degree in Computer Science , Software Engineering, or a related technical field from a top-tier institution or prior experience at a high-growth technology startup. Experience building modern web applications ( React ,
Node ,
Flask ,
Next.js , etc.) OR
2-5 years
of experience supporting customers on such web applications. Comfortable with
AI systems. Experience with
LLMs , agents, or generative models. Experience exploring behavior of
AI tools
(fine-tuning, prompt chains, chain-of-thought debugging, or building agents). Ability to understand model outputs, failure modes, hallucinations, and feedback loops. Familiarity with modern
AI APIs
( Open AI ,
Anthropic , etc.) or how agent frameworks ( Lang Chain ,

📌 Customer technical support engineer (Ciudad de México)
🏢 Mercor
📍 Ciudad de México