Strategic Support Specialist (Thursday to Monday)

Prolific
MexicoPosted 27 February 2026

Job Description

Strategic Support Specialist (Thursday to Monday) Team: Support (Mexico) Prolific Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiate products and models. The Role As our weekend cover (Thursday to Monday) Strategic Support Specialist at Prolific, you will be the primary support partner for AI-focused customers using our platform to power model training, evaluation, benchmarking, and human data collection initiatives. This role sits at the intersection of high-touch customer support and deep technical problem-solving. You will work closely with AI labs, research teams, and engineering stakeholders to help them design, launch, and optimize complex human-in-the-loop workflows on Prolific. You’ll combine strategic account support with API expertise, troubleshooting, and proactive consultation, ensuring our AI customers can run high-quality, large-scale data collection projects with confidence. You will collaborate cross-functionally with Customer Success, Engineering, Product, Human Data Operations, and Service Delivery to resolve issues quickly, uphold SLAs, and continuously improve the customer experience. This role is ideal for someone who enjoys working in fast-moving AI environments, thrives on solving complex technical challenges, and is motivated by delivering meaningful impact for strategic customers. What you'll be doing Working Thursday to Monday to cover our support team over the weekend Serve as a dedicated technical support partner for AI organizations running model training, evaluation and annotation projects on Prolific. Deliver exceptional, high-touch support to strategic and high-priority AI accounts, ensuring timely and effective resolution of complex queries. Act as an escalation point for Customer Success and Sales on AI-related technical and operational challenges. Maintain proactive, clear communication during incidents or high-volume launches, ensuring adherence to SLAs and strong expectation management. Support specialist participant groups (e.g., AI Taskers and Domain Experts) involved in AI projects, ensuring smooth workflows and rapid issue resolution. Act as a bridge between AI customers and internal teams (Product, Engineering, Human Data Operations, Service Delivery, and Customer Success). Proactively collect structured feedback from AI organizations to inform product discovery and platform improvements. Identify patterns in customer challenges and recommend scalable solutions that improve both customer outcomes and internal processes. Be the primary point of contact for API integrations between AI customers’ internal systems and Prolific. Diagnose and troubleshoot issues related to task routing, participant segmentation, automation workflows, and API-driven pipelines. Investigate integration errors, analyze logs, and identify root causes using observability and data tools (e.g., Datadog, Metabase, Deepnote, Postman). Escalate bugs and incidents to Engineering with clear reproduction steps, impact summaries, and structured reporting. Collaborate with Service Delivery to minimize disruption during incidents and contribute to continuous improvement of incident management processes. Advise customers on best practices for designing AI-related studies, including annotation tasks, evaluation frameworks, human-in-the-loop feedback loops, and expert review workflows. Support large-scale AI data collection initiatives, ensuring quality control mechanisms and operational processes are effective and scalable. Provide guidance on optimizing API usage and automation to improve efficiency and reliability of AI data pipelines. Maintain deep expertise across Prolific’s API, participant ecosystem, AI Tasker workflows, and new featur ... (truncated, view full listing at source)
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