Description review
Customer Success Specialist - Fully Remote | Upto $50K/yr
mercor · Argentina · back to the listing
HR standards
74/100
solid
Title ↔ description
43/100
poor
Reads as
Unclear
no confident match
What this role officially is
customer service representative — ESCO, the EU occupation classification
Customer service representatives handle complaints and are responsible for maintaining overall goodwill between an organisation and its customers. They manage data regarding customer satisfaction and report it.
Also known as: customer complaints handler, customer feedback representative, customer experience manager, assistant customer service representative, graduate customer service representative, information office worker
How others title the same work
Large employers
- Analista de Customer Service, Delivery Station Customer Support Amazon.com
- Bilingual Technical Customer Support, Ring, Ring Amazon.com
- Happiness Engineer – Customer Support & Success Automattic
- Support Engineer, WordPress VIP Automattic
- Cloud Support Engineer Canonical
Startups
- Customer Success Associate Aqua
- Customer Service Manager Cityfurnish
- Client Support Specialist (Healthcare Facilities - B2B) Clipboard
- Customer Support Engineer (Product / Technical Support) Cogram
What the listing never says
- 19 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
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
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.
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