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Assistant Ai Trainer Jobs in Iowa (NOW HIRING)

... assistants. • Develop reusable AI frameworks, components, and internal toolkits to accelerate ... training, validation, deployment, and monitoring. • Build large-scale, cloud-native AI systems ...

Conduct equipment audits and reinforce proper Daily Vehicle Inspection (DVI) procedures. * Assist ... use of AI note-takers, recording devices, or real-time transcription software is strictly ...

Conduct equipment audits and reinforce proper Daily Vehicle Inspection (DVI) procedures. * Assist ... use of AI note-takers, recording devices, or real-time transcription software is strictly ...

Conduct equipment audits and reinforce proper Daily Vehicle Inspection (DVI) procedures. * Assist ... use of AI note-takers, recording devices, or real-time transcription software is strictly ...

Conduct equipment audits and reinforce proper Daily Vehicle Inspection (DVI) procedures. * Assist ... use of AI note-takers, recording devices, or real-time transcription software is strictly ...

Text HELP for help or smshelp@paradox.ai . Msg&data rates may apply. Msg freq varies. Text STOP to ... Our first in class training programs enable our restaurants to have a positive environment to learn ...

Technology Transactions Counsel

Des Moines, IA · On-site +1

$350K - $410K/hr

The ideal candidate has exceptional academic credentials, strong foundational legal training, and a ... to assist in candidate screening and assessment. Our AI tools are designed to complement, not ...

Technology Transactions Counsel

Davenport, IA · On-site +1

$350K - $410K/hr

The ideal candidate has exceptional academic credentials, strong foundational legal training, and a ... to assist in candidate screening and assessment. Our AI tools are designed to complement, not ...

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Assistant Ai Trainer information

What does an assistant AI trainer do?

An Assistant AI Trainer helps improve artificial intelligence systems by providing feedback, curating datasets, and evaluating model outputs. They often review and label data, test AI responses, and suggest improvements to ensure the AI behaves in a useful and ethical manner. This role is important for refining how AI models understand and interact with human inputs across various applications.

What are the key skills and qualifications needed to thrive as an assistant AI trainer, and why are they important?

To thrive as an Assistant AI Trainer, you need a solid understanding of data annotation, basic machine learning concepts, and strong attention to detail, often supported by a relevant degree or coursework. Familiarity with annotation tools, data management systems, and sometimes basic programming or scripting skills is typically required. Excellent communication, critical thinking, and the ability to follow detailed guidelines set top performers apart. These skills ensure the production of high-quality datasets and accurate model training, which are vital for developing effective AI systems.

What are the main challenges an assistant AI trainer faces when annotating and reviewing training data?

Assistant AI Trainers often encounter challenges such as ensuring consistency and accuracy in data annotation, especially when guidelines evolve or tasks are subjective. Balancing speed with quality can be difficult, as there may be tight deadlines for large datasets. Additionally, collaborating with data scientists and senior trainers to clarify ambiguous cases or edge scenarios is common, requiring strong communication skills. Staying updated with the latest tool updates and annotation standards is also essential for success in this role.

What is the difference between Assistant Ai Trainer vs Data Annotator?

AspectAssistant Ai TrainerData Annotator
Required CredentialsBasic technical skills, training in AI conceptsAttention to detail, basic computer skills
Work EnvironmentCollaborative, office or remoteRemote or on-site, often repetitive tasks
Industry UsageAI development, machine learning projectsData labeling, dataset preparation
Common Search IntentUnderstanding AI training rolesData labeling jobs

Assistant Ai Trainers focus on training AI models by providing feedback and refining algorithms, requiring some technical knowledge. Data Annotators primarily label and categorize data, emphasizing accuracy and attention to detail. While both roles support AI development, Assistant Ai Trainers have a broader scope involving model improvement, whereas Data Annotators concentrate on data preparation.

What are the most commonly searched types of Ai Trainer jobs in Iowa?

The most popular types of Ai Trainer jobs in Iowa are:

What are popular job titles related to Assistant Ai Trainer jobs in Iowa?

For Assistant Ai Trainer jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Assistant Ai Trainer jobs in Iowa look for?

The top searched job categories for Assistant Ai Trainer jobs in Iowa are:

What cities in Iowa are hiring for Assistant Ai Trainer jobs?

Cities in Iowa with the most Assistant Ai Trainer job openings:

Prinicipal AI Engineer

ClifyX

West Des Moines, IA • On-site

Full-time

Re-posted 14 days ago


Job description

Job Summary:
ClifyX is seeking a highly accomplished Principal AI Engineer to lead the design, architecture, and delivery of enterprise scale AI and Machine Learning solutions. This role requires deep technical expertise in AI/ML, strong architectural vision, and hands-on leadership to drive AI strategy across the organization.
Responsibilities:
• Define and drive the organization's AI roadmap, architecture, and long-term technical vision.
• Lead and mentor AI/ML engineers, data scientists, and cross-functional teams.
• Evaluate emerging technologies and guide adoption of GenAI, LLMs, MLOps frameworks, and AI platforms.
• Architect scalable, high-performance machine learning and GenAI solutions for NLP, CV, predictive analytics, and automation.
• Design and optimize LLM-powered systems, including RAG pipelines, fine-tuned models, and enterprise AI assistants.
• Develop reusable AI frameworks, components, and internal toolkits to accelerate organization-wide AI development.
• Oversee full lifecycle: data architecture, feature engineering, experimentation, training, validation, deployment, and monitoring.
• Build large-scale, cloud-native AI systems using Azure/AWS/GCP.
• Establish standards for model quality, reliability, interpretability, and governance.
• Architect robust MLOps pipelines—CI/CD, model versioning, drift detection, automated retraining, monitoring.
• Lead the development of AI platforms supporting multiple business teams and workloads.
• Ensure production environments meet performance, scalability, and security requirements.
• Partner with executives, product teams, and business leaders to identify AI opportunities.
• Translate complex business problems into scalable AI solutions.
• Represent AI architecture in technical reviews and decision-making processes.
Qualifications:
Required:
• Deep technical expertise in AI/ML
• Strong architectural vision
• Hands-on leadership
• Ability to drive AI strategy across the organization
• Extensive experience with advanced ML systems
• Experience with GenAI/LLM solutions
• Experience with end to end AI platform development
• Define and drive the organization's AI roadmap, architecture, and long-term technical vision
• Lead and mentor AI/ML engineers, data scientists, and cross-functional teams
• Evaluate emerging technologies and guide adoption of GenAI, LLMs, MLOps frameworks, and AI platforms
• Architect scalable, high-performance machine learning and GenAI solutions for NLP, CV, predictive analytics, and automation
• Design and optimize LLM-powered systems, including RAG pipelines, fine-tuned models, and enterprise AI assistants
• Develop reusable AI frameworks, components, and internal toolkits to accelerate organization-wide AI development
• Oversee full lifecycle: data architecture, feature engineering, experimentation, training, validation, deployment, and monitoring
• Build large-scale, cloud-native AI systems using Azure/AWS/GCP
• Establish standards for model quality, reliability, interpretability, and governance
• Architect robust MLOps pipelines—CI/CD, model versioning, drift detection, automated retraining, monitoring
• Lead the development of AI platforms supporting multiple business teams and workloads
• Ensure production environments meet performance, scalability, and security requirements
• Partner with executives, product teams, and business leaders to identify AI opportunities
• Translate complex business problems into scalable AI solutions
• Represent AI architecture in technical reviews and decision-making processes
• Experience with Databricks, SQL, and data processing frameworks
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998