AfterQuery
AfterQueryVerified listing
Remote

Customer Service Representative Expert - Remote

35–75/hr
Remote
Posted August 29, 2026
Contract
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Listing checked September 22, 2026 · pay as published by AfterQuery

Overview

AfterQuery, a YC-backed startup, builds training content that helps AI models handle real customer interactions. You will design scenario questions and case studies that probe how models resolve conflicts, troubleshoot products, manage complaints and interpret policy. The contract is remote and asks for 10 hours per week, so you can shape the work around your schedule. Your subject knowledge in customer service shapes AI model evaluation and improvement. The team pairs support specialists with technical experts to sharpen question difficulty and coverage.

What You'll Do6

  • 1Write scenario questions and case studies that push AI models to handle conflict resolution, product troubleshooting, complaints, policy interpretation and omnichannel support.
  • 2Build prompts that test empathy, de-escalation, communication technique and customer retention choices.
  • 3Review model answers and score them against customer service best practices and industry standards.
  • 4Give clear written feedback when a response misses accuracy, tone or policy requirements.
  • 5Work with support specialists and technical experts to calibrate question difficulty.
  • 6Refine content so each case study remains challenging and educational.

Requirements9

  • 1High school diploma or equivalent. Associate or bachelor's degree preferred.
  • 2Proven work as a customer service representative.
  • 3Strong grasp of support operations and service best practices.
  • 4Analytical skill plus written and verbal communication at a high level.
  • 5Close attention to detail.
  • 6Several years in customer service across multiple industries and channels such as phone, email, chat, social media and in-person.
  • 7Background in training, quality assurance or customer experience programs.
  • 8Hands-on use of CRM systems, escalation management or retention strategy.
  • 9Exposure to AI or technology-driven support tools.

Who Should Apply

The ideal candidate has several years answering customer questions across phone, email, chat or social channels and can explain why a response works or fails. You understand support operations, escalation management and retention tactics, and you write with precision. This contract suits someone who wants to shape AI model behavior without leaving support work behind. Hiring teams reject candidates who handled a single channel or lack writing skill because the role hinges on detailed evaluation. A weak grasp of policy or de-escalation also lowers fit scores.

Salary Insight

Pay runs from $35 to $75 per hour. That band fits experienced representatives who bring training, QA or omnichannel support backgrounds. The contract asks for about 10 hours per week, so earnings each week depend on the rate you agree to.

Pay and demand for Customer Success & Account Management roles

Aggregated

Typical pay

$75/hour

This role

$35–$75/hr

Most Customer Success & Account Management roles pay $55–$100 per hour. This role's pay falls inside that range.

Based on 595 similar roles that publish pay · 100 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

Live similar roles
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Most requested skills · share of roles

  • python
    16%
  • technical writing
    9%
  • llm evaluation
    7%
  • ai evaluation
    6%

Figures from Customer Success & Account Management roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

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Location

Typeremote
LocationRemote
This is a remote position

Compensation

$35–75/hr

Required Skills

customer serviceconflict resolutionproduct troubleshootingcomplaint handlingpolicy interpretationomnichannel supportde-escalationcustomer retentionescalation managementcrmquality assurancecustomer experiencecustomer support operationsai model evaluationcase study designquestion designai applicationssupport operations

Application Tip

Before the 15 minute AI interview, prepare two or three concise stories that show how you resolved a conflict or policy question across a specific channel, and name the CRM or QA tools you used. Tie each story to a customer service principle the role tests, such as de-escalation or retention.

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