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Unlocking Elite Remote Tech Careers: Customer Success Engineer (LatAm) at Mercor ($35K–$50K/yr)

Company: Mercor · Pay: $35000–$50000/year · Location: Remote — LATAM · Type: full time · Posted: 2026-09-15

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The global tech ecosystem is undergoing a massive transformation, creating incredible remote employment opportunities for exceptional professionals based in Latin America. If you have a passion for troubleshooting web applications, communicating with technical empathy, and engaging with cutting-edge artificial intelligence systems, Mercor has an exceptional opportunity waiting for you.

Mercor—a profitable Series C company valued at $10 billion—is hiring for the full-time remote role of Customer Success Engineer (LatAm), offering a competitive annual salary ranging from $35,000 to $50,000. This role is exclusively open to candidates residing in Latin America, bridging world-class AI innovation with local top-tier talent.

Customer Success Engineer (LatAm)

$35K - $50K / yr
Eligible Regions ARG, BRA, COL, MEX, PER, CHL & more
Working Hours 6 days/week (Pacific Time overlap)
Compensation $35,000 - $50,000 per year
Focus Area AI Stack, SaaS, Web Debugging

Role Overview: Ensure every user on Mercor's platform enjoys a seamless experience—from job applications and AI interviews to offer acceptance—by investigating bugs, debugging across AI + SaaS stacks, and delivering delightful support.

Deep Dive: Inside the Customer Success Engineer Role at Mercor

Thousands of users and top-tier professionals join the Mercor platform every week to interview for cutting-edge roles. As a Customer Success Engineer focused on Latin America, you are the frontline champion and technical problem-solver ensuring that every interaction runs smoothly, professionally, and efficiently.

Unlike traditional customer support roles that rely strictly on pre-written macros, this position requires technical fluency. You will work directly with Mercor's core engineering team, investigating bug reports, analyzing logs, inspecting networks, and running database queries to diagnose complex system behavior.

Key Responsibilities:

  • End-to-End Investigation: Reproduce user-reported bugs, isolate root causes, and clearly differentiate between user interface friction, AI model edge cases, and genuine system defects.
  • Full-Stack Debugging: Investigate issues across an advanced AI + SaaS tech stack using telemetry, logs, and network inspection tools.
  • Smart Triage & Escalation: Apply sound judgment to escalate true engineering issues while resolving user friction through platform configuration, prompt refinement, or clear instructions.
  • Product Feedback Loop: Surface systemic patterns, failure modes, and product risks directly to engineering and product leadership.
  • Technical Documentation: Create concise runbooks and help documentation to prevent repeat issues and accelerate resolution times.

💡 Tone and Communication: Because your conversations are often the first introduction users have to Mercor, maintaining an enthusiastic, upbeat tone while writing at a native English proficiency level is essential. The communication style balances casual warmth with absolute professional precision.

Candidate Qualifications: What Does Mercor Look For?

To thrive in this high-growth environment, candidates must demonstrate a solid mix of technical debugging skills, AI familiarity, and pristine English communication:

  • Technical Background: A degree in Computer Science, Software Engineering, or a related field from a top-tier institution, or proven experience at a fast-growing tech startup. Alternatively, 2-5 years of hands-on experience supporting customers on modern web applications (React, Node, Flask, Next.js).
  • AI Systems Familiarity: Comfort with large language models (LLMs), AI agents, generative models, fine-tuning, prompt chains, or API integrations (OpenAI, Anthropic, LangChain).
  • Geographic Eligibility: Must reside within Latin America (countries including Argentina, Brazil, Colombia, Mexico, Chile, Peru, Uruguay, Costa Rica, etc.).
  • Schedule Flexibility: Ability to work a 6-day per week schedule with substantial schedule overlap with Pacific Time (PT/PST) working hours.

Why Join Mercor? The Future of AI and Labor

Mercor sits at the fascinating intersection of labor markets and artificial intelligence research. By partnering with leading AI labs, Mercor provides the human intelligence necessary to train frontier models—acting much like teachers guiding students through complex reasoning.

Currently, more than 30,000 experts across Mercor's global network collectively earn over $2 million daily. Joining Mercor means working alongside top-tier operators and researchers who are actively redefining how society interacts with intelligent systems.

Oportunidades en América Latina (Español y Portugués)

Para los profesionales talentosos en Latinoamérica (incluyendo México, Colombia, Argentina, Chile y Perú) y Brasil, esta posición remota representa un salto monumental hacia la economía tecnológica global. Trabajarás directamente con infraestructura de IA avanzada mientras ganas un sueldo altamente competitivo en dólares estadounidenses ($35K–$50K/año).

Para profissionais do Brasil: Esta é uma oportunidade imperdível para engenheiros e especialistas em suporte técnico e IA que desejan atuar remotamente, colaborando com empresas de tecnologia líderes globais e recebendo remuneração competitiva internacional.

Step-by-Step Application Strategy

Because positions at high-growth unicorn startups like Mercor draw immense interest, candidates should follow a structured approach to secure interviews quickly:

  1. Optimize Your Technical Profile: Highlight any experience building modern web applications, handling API debugging, or working with generative AI tools.
  2. Demonstrate Bilingual Excellence: Ensure your application materials showcase native-level English writing and strong interpersonal clarity.
  3. Complete Screening Promptly: Mercor uses streamlined AI-led interviews and rapid evaluations. Complete all application steps without delay to claim early applicant status.

Responsibilities

  • End-to-End Investigation: Reproduce user-reported bugs, isolate root causes, and clearly differentiate between user interface friction, AI model edge cases, and genuine system defects.
  • Full-Stack Debugging: Investigate issues across an advanced AI + SaaS tech stack using telemetry, logs, and network inspection tools.
  • Smart Triage & Escalation: Apply sound judgment to escalate true engineering issues while resolving user friction through platform configuration, prompt refinement, or clear instructions.
  • Product Feedback Loop: Surface systemic patterns, failure modes, and product risks directly to engineering and product leadership.
  • Technical Documentation: Create concise runbooks and help documentation to prevent repeat issues and accelerate resolution times.

Qualifications

  • Technical Background: A degree in Computer Science, Software Engineering, or a related field from a top-tier institution, or proven experience at a fast-growing tech startup. Alternatively, 2-5 years of hands-on experience supporting customers on modern web applications (React, Node, Flask, Next.js).
  • AI Systems Familiarity: Comfort with large language models (LLMs), AI agents, generative models, fine-tuning, prompt chains, or API integrations (OpenAI, Anthropic, LangChain).
  • Geographic Eligibility: Must reside within Latin America (countries including Argentina, Brazil, Colombia, Mexico, Chile, Peru, Uruguay, Costa Rica, etc.).
  • Schedule Flexibility: Ability to work a 6-day per week schedule with substantial schedule overlap with Pacific Time (PT/PST) working hours.

Apply now →