Customer Success Specialist - Fully Remote | Upto $50K/yr

Mercor; San Francisco (CA); Hybrid; MXN 633,000 - 905,000; Full time

Job summary

Mercor is seeking a Customer Success Engineer (LatAm) to support our AI research lab clients. This remote, contract role requires strong debugging, web app experience, and familiarity with AI systems, LLMs, and agent frameworks. You will work with React, Node, Flask, and Next.js to assist customers and improve product outcomes.

The position offers substantial overlap with Pacific Time and requires excellent communication, empathy, and problem-solving in a fast-growing startup context.

Qualifications

• Ability to debug web applications and understand frontend/backend issues.
• Degree in CS/Software Eng or equivalent startup experience.
• Experience building modern web apps with React, Node, Flask, Next.js.

Responsibilities

• Investigate talent-reported issues end-to-end.
• Reproduce bugs, identify root causes, and model edge cases and system defects.
• Debug across the AI + SaaS stack using telemetry, logs, and DB queries.
• Triage with sound judgment and escalate true engineering issues.
• Resolve issues via configuration, prompt refinement, or clear user guidance.
• Surface patterns and product risks to engineering and leadership.
• Create clear documentation and runbooks to reduce repeats and speed resolution.
• Communicate with precision, professionalism, and empathy.

Skills

Debug web apps

React

Node.js

Flask

Next.js

LLMs

AI systems

Troubleshooting

Education

Bachelor's degree in CS or related field

Tools

OpenAI APIs

LangChain

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: Customer Success Engineer (LatAm)
Type: Contract
Compensation: $35,000–$50,000
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 + SaaS 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.). 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.

Preferred

Familiarity with how modern AI APIs work (OpenAI , Anthropic , etc.) or how agent frameworks (LangChain , AutoGPT , etc.) function.

Resources & Support

For details about the interview process and platform information, please check: 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.