Customer Support Specialist - Fully Remote | Upto $35K/yr

mercor; India; Remote; INR 2,422,000 - 3,391,000; Full time

Job summary

Mercor seeks a Customer Success Engineer (Contract) for India to support remote customers, debug and triage AI-driven web applications, and guide users through complex configurations. The role requires strong communication and collaboration with product and engineering teams to ensure reliable, scalable AI solutions.

Ideal candidates have experience with React/Node/Flask/Next.js, knowledge of AI APIs, and a passion for customer success.

Qualifications

• Degree in Computer Science, Software Engineering, or related technical field from a top-tier institution or equivalent startup experience.

Responsibilities

• Investigate talent-reported issues end-to-end and reproduce bugs.
• Debug across AI + SaaS stack using telemetry, logs, network inspection, and DB queries.
• Triage issues and escalate true engineering problems; resolve others via configuration or guidance.
• Surface systemic patterns and product risks to engineering and leadership.
• Create clear documentation and runbooks to reduce repeat issues and speed resolution.
• Communicate with precision, professionalism, and empathy.

Skills

Debug web apps

Web app development

AI systems

LLMs & agents

AI APIs

Education

CS/CE degree or equivalent

Tools

OpenAI API

LangChain

AutoGPT

Job description

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 (India) Type: Contract Compensation: $25,000–$35,000 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

• 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.