Senior AI Trainer - Customer Success Manager - APAC / MEA
AI summary
A globally recognized AI company is hiring a Senior AI Trainer - Customer Success Manager to be based in Nigeria on a short-term 2-month contract. The role involves designing and refining complex customer-success scenarios, mentoring junior trainers, and shaping advanced AI systems that support post-sales, adoption, and retention workflows across APAC and MEA markets. Candidates need at least 8 years of customer success or account management experience, ideally within enterprise SaaS.
- Short-term 2-month contract based in Nigeria
- Focus on APAC and MEA customer-success training for AI systems
- Requires minimum 8 years of customer success or account management experience
- Bachelor's degree in Business Administration, Marketing, Economics or related field
- Involves mentoring junior trainers and driving quality consistency across pods
AI job guide
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AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required8+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in sales, internship, technologyThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in HoThe vacancy is associated with this location.
- UnclearComfort with the Short-Term Contract (2 Months) contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Senior AI Trainer - Customer Success Manager - APAC / MEA evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Estrada International Staffing Solution and the role in Ho.
- Add concrete examples related to sales, internship, technology, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Jobzilla Nigeria; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- Jobzilla Nigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this Senior AI Trainer - Customer Success Manager - APAC / MEA role in sales, internship?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Ho under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Estrada International Staffing Solution before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Senior AI Trainer - Customer Success Manager - APAC / MEA in a Globally Recognized Artificial Intelligence Company - Estrada International Staffing Solution ⏲ Aug 13, 2026, 8:13 AM ⋕ View all Data Science & Analytics jobs Estrada International Staffing Solutions (EISS) - Our client, is a globally recognized Artificial Intelligence company focused on accelerating the development and deployment of next-generation AI technologies. Working alongside some of the world's leading AI research organizations, the company develops intelligent systems capable of solving complex real-world challenges across multiple industries. Through collaboration with subject matter experts, the organization enhances AI capabilities in reasoning, analytical thinking, multilingual understanding, and professional domain expertise, helping businesses leverage AI for mission-critical decision-making and operational excellence. We are recruiting to fill the position below: Job Title: Senior AI Trainer - Customer Success Manager - APAC / MEA Location: Nigeria Employment Type: Short-Term Contract (2 Months) Industry:Artificial Intelligence (AI) | Software Development Role Overview This role is ideal for seasoned CSM professionals who want to combine their customer‑success expertise with emerging AI technologies—and play a pivotal role in building intelligent tools that support customer‑facing teams across the globe. We are seeking experienced Customer Success Managers across APAC and MEA to serve as Senior AI Trainers, helping shape advanced AI systems designed to support global post‑sales, adoption, and retention workflows. In this senior role, you will design, evaluate, and refine complex customer‑success scenarios that mirror real‑world enterprise and mid‑market environments—spanning onboarding, value realization, account health management, renewal strategy, and expansion planning. As a senior trainer, you will also influence rubric development, mentor junior team members, and drive quality consistency across pods operating in diverse APAC and MEA markets with varying customer expectations, cultural norms, and product landscapes. You will review and elevate the work of other contributors, ensuring all outputs meet the highest standards of customer‑centric reasoning, commercial awareness, and regional best practices. Your expertise will guide AI models to produce reliable, context‑aware, and strategically aligned responses across stakeholder management, risk mitigation, QBR preparation, product adoption guidance, and long‑term account growth. Key Responsibilities: Review, calibrate, and elevate the work of other trainers, ensuring consistent quality, strong customer‑centric reasoning, and adherence to pod standards in all outputs. Ensure all scenarios and solutions reflect real‑world post‑sales workflows, including onboarding, adoption planning, risk mitigation, renewal strategy, and expansion opportunities across diverse regional markets. Mentor junior contributors, refine task‑creation frameworks, and drive continuous improvement to strengthen overall pod performance and AI capability in customer‑success domains. Produce high‑complexity customer‑success tasks and gold‑standard solutions that set the benchmark for strategic account management, value realization, and retention excellence across APAC and MEA. Identify and escalate genuine edge cases, rubric gaps, and ambiguous customer‑success criteria to the Functional SME Lead for clarification and alignment. Requirements: Education: Bachelor's Degree in Business Administration, Marketing, Economics or related disciplines. Professional Experience: Minimum of 8 years of experience: in Customer Success or account management, primarily within enterprise SaaS environments. Preferred Technical Competence: Expertise in designing and executing onboarding, adoption, value‑realization, retention, and account‑expansion strategies across diverse customer segments and regional markets. Demonstrated ownership of strategic enterprise accounts, overseeing complex customer lifecycles, renewals, retention motions, and revenue‑growth initiatives. Proven ability to cultivate trusted relationships with executive stakeholders and confidently lead business reviews, escalations, and strategic conversations. Extensive experience: building and operationalizing health‑score frameworks, renewal playbooks, risk‑management processes, and success metrics. Work Schedule : Minimum of 4 hours per day (up to 40 hours per week) with at least 4 hours overlap with Pacific Standard Time (PST) Compensation USD $15 per hour. How to Apply Interested and qualified candidates should: Click here to apply online Application Deadline: 10th September, 2026. View all Jobs in Nigeria