Customer Support & Success Domain Expert – AI Model Training

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $55 - $80 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

💝 Customer Support

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 33 days.
• 167 open roles for a team of 134.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Collaborate with AI research and engineering teams to identify knowledge gaps and improve model performance • Review and validate multi-step customer support and success workflows, including ticket triage, escalations, churn and renewals, usage and adoption reporting, onboarding, installation, billing, and failed payment resolution • Create realistic customer support and success scenarios using real-world ticket data, CRM systems, helpdesk workflows, and billing constraints • Develop structured solutions for AI training and evaluation • Assess AI-generated responses, customer communications, and task outputs against evaluation rubrics • Provide clear, detailed, and actionable written feedback • Validate, refine, and improve evaluation rubrics • Collaborate with subject matter experts, researchers, and technical teams to maintain training dataset quality • Ensure customer interactions, support decisions, escalation processes, and success workflows reflect real-world business practices

🎯 Requirements

• Substantial professional experience in Customer Support, Customer Success, or Technical Onboarding, preferably within business-to-business (B2B) environments • Hands-on experience in ticket triage and technical escalation, churn and renewal management, or onboarding and implementation • Practical, day-to-day experience with customer support, CRM, billing, and analytics platforms such as Intercom, HubSpot, Stripe, and Metabase, or equivalent tools such as Zendesk, Salesforce, and Looker • Strong understanding of customer communication standards, support processes, service policies, and customer success operations • Ability to critically evaluate customer interactions for authenticity, accuracy, and policy compliance • Demonstrable career progression and increasing levels of professional responsibility • Excellent written communication skills • Strong analytical thinking and attention to detail • Ability to commit reliably to 40 hours per week, Monday to Friday

🏖️ Benefits

• W-2 employment arrangement • Full-time commitment of 40 hours per week • Opportunity to work directly with a leading AI lab as part of its extended workforce

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