mercor·Costa Rica
This is a contract remote Customer Success Engineer - Fully Remote role at mercor. The posting names React, APIs and Technical Writing. The listing reads as suitable for candidates early in their social media career. The advertised pay is $35K–$50K per year.
Written by GoWFHJobs from the details in this posting. It states only what the posting supports — where a fact was not stated, it is not mentioned.
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) 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.) 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. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form 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. Originally posted on Himalayas
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