Customer Success Engineer - Fully Remote
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Salary
$35k – $50k per year
Location
Remote (likely United States, PST hours)
Employment
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First seen by Alion on Nov 1, 2026. Mercor scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Mercor is an American company founded in 2023 by three Thiel Fellows that recruits and pays domain experts to produce the training and evaluation data frontier artificial intelligence labs need. Its business shifted quickly from general talent matching to expert data work: as models became competent at ordinary tasks, the scarce input became judgement from practising doctors, lawyers, bankers and engineers, and Mercor sources, vets and pays those people at very large scale. Headquartered in San Francisco and valued in the billions within two years of founding, it pays out enormous sums annually to a contributor network rather than employing them.
Backed by General Catalyst, Felicis, Silicon Valley Investclub
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/year
Location:Remote
Commitment:Substantial overlap with Pacific Time (PT/PST)
- 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.
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 (OpenAI, Anthropic, etc.) or how agent frameworks (LangChain, AutoGPT, etc.) function is a plus.
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- For details about the interview process and platform information, please check:
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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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