Lead the move from early adoption to production-grade, enterprise-ready systems. * Define standards ... Experience designing and operating enterprise AI platforms, including model serving, evaluation ...
Lead the move from early adoption to production-grade, enterprise-ready systems. * Define standards ... Experience designing and operating enterprise AI platforms, including model serving, evaluation ...
A track record of operating autonomously: scoping ambiguous questions, prioritizing your own ... Executive-grade communication: you can walk a GM through why a metric moved and what to do about it ...
A track record of operating autonomously: scoping ambiguous questions, prioritizing your own ... Executive-grade communication: you can walk a GM through why a metric moved and what to do about it ...
Remote Grader Operator information
What is a remote grader operator?
What are the key skills and qualifications needed to thrive as a remote grader operator?
What are some common challenges faced by a remote grader operator and how can they be addressed?
What is the difference between Remote Grader Operator vs Remote Test Scorer?
| Aspect | Remote Grader Operator | Remote Test Scorer |
|---|---|---|
| Required Credentials | High school diploma or equivalent; training in grading procedures | High school diploma or equivalent; training in scoring guidelines |
| Work Environment | Remote, computer-based; often flexible hours | Remote, computer-based; often flexible hours |
| Industry Usage | Education, testing companies, certification bodies | Education, testing companies, certification bodies |
| Common Search Intent | Comparing roles in grading student work | Comparing roles in scoring exams or tests |
The main difference between a Remote Grader Operator and a Remote Test Scorer lies in their specific tasks. Grader Operators typically evaluate assignments, essays, or projects, focusing on qualitative assessment, while Test Scorers usually evaluate multiple-choice or objective test responses. Both roles require similar credentials and work environments, often performed remotely for educational or testing organizations.
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Full-time
Re-posted 6 days ago
Workiva rating
9.9
Based on 7 frontline employees who took The Breakroom Quiz
1st of 245 rated software companies
Job description
Workiva is building a next-generation AI platform for mission-critical workflows used by some of the world's largest and most regulated organizations. We are seeking a Senior Staff Machine Learning Engineer to define how AI is architected, deployed, and trusted across our platform at enterprise scale, where accuracy, auditability, security, and reliability matter most.
What You'll DoAI Platform ArchitectureOwn the architecture of Workiva's AI platform and core AI services.
Shape how machine learning, Generative AI, and agentic systems are integrated across products.
Lead the move from early adoption to production-grade, enterprise-ready systems.
Define standards for model serving, retrieval, evaluation, governance, and platform reliability.
Lead the design of enterprise agentic systems, including orchestration, workflow execution, memory, and multi-agent coordination.
Design and evolve Retrieval-Augmented Generation capabilities for enterprise content and knowledge workflows.
Establish evaluation methods and quality frameworks for Generative AI applications.
Assess emerging AI technologies and guide adoption strategy for Workiva's platform.
Influence technical direction across teams, products, and platform domains.
Mentor Staff and Senior Engineers and help raise the technical bar across the organization.
Partner closely with Product, Security, Infrastructure, and Architecture leaders.
Align teams around a shared vision for scalable, secure AI at Workiva.
Lead secure AI platform design, including authorization, runtime isolation, governance, auditability, and compliance.
Establish best practices for AI safety, model governance, and customer data protection.
Ensure AI systems meet enterprise expectations for availability, resiliency, observability, and operational support.
Design for fault tolerance and operational excellence in regulated, security-conscious environments.
Bachelor's degree in Computer Science, Engineering, or equivalent experience.
10+ years of software engineering experience, including large-scale SaaS platforms.
5+ years designing, deploying, and operating production ML, AI, or data-intensive systems.
Experience designing and operating enterprise AI platforms, including model serving, evaluation, observability, and governance.
Deep expertise in RAG, agentic systems, and large-scale knowledge systems.
Strong understanding of foundation model ecosystems, including inference, routing, prompting, and provider tradeoffs.
Experience with AI evaluation, secure AI systems, and regulated enterprise environments.
Proven track record leading architecture across multiple teams or platform domains.
Strong distributed systems, cloud-native, API, reliability, and operational excellence experience.
Expert-level Python proficiency and proficiency in at least one production language such as Java, Go, Scala, or C++.
Proven record mentoring senior engineers and technical leaders.
Working Conditions
Less than 10% travel
Reliable internet access for remote working opportunities
Why Join Workiva
Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.
At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.
Workiva is an Equal Opportunity Employer.We believe that great minds think differently.We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, gender identity, race, religion, disability status, sexual orientation, or any other protected characteristic.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please emailtalentacquisition@workiva.com.
Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
#LI-MJ2About Workiva
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
Ames, IA, US
Year founded
2008