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Live In Ai Validation Jobs in Wisconsin (NOW HIRING)

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

Biostatistician

Milwaukee, WI · Remote

$60 - $65/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

Biostatistician

Madison, WI · Remote

$60 - $65/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

Biostatistician

Green Bay, WI · Remote

$60 - $65/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

Biostatistician

Kenosha, WI · Remote

$60 - $65/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

AI Solutions Architect

Milwaukee, WI · On-site

$62 - $81.75/hr

In the AI Solution Architect position, you'll design and deliver scalable, AI-powered solutions ... Adept at creating rapid prototypes and MVPs to validate value, iterate quickly, and demonstrate ...

AI Solutions Architect

Milwaukee, WI · On-site

$120 - $160/hr

In the AI Solution Architect position, you'll design and deliver scalable, AI-powered solutions ... Adept at creating rapid prototypes and MVPs to validate value, iterate quickly, and demonstrate ...

AI Solutions Architect

Milwaukee, WI

$62 - $81.75/hr

In the AI Solution Architect position, you'll design and deliver scalable, AI-powered solutions ... Adept at creating rapid prototypes and MVPs to validate value, iterate quickly, and demonstrate ...

... validation to support reliable, multi-step AI workflows - Demonstrating proficiency in Python and TensorFlow for AI projects - Utilizing machine learning libraries like Scikit-Learn for data analysis ...

WI · On-site

$140 - $210/hr

In this role, you will be doing both AI research and production engineering -- staying ahead of a ... production validation from start to finish with a bias for surgical execution over wholesale ...

Understanding of AI governance, security, privacy, compliance, and human-in-the-loop validation practices. * Strong troubleshooting skills across Windows, Microsoft 365, Teams, SharePoint, OneDrive ...

As the Validation Associate III, you'll have the chance to participate or lead a variety of ... family live full lives: The base pay for this position is $61,300.00 - $122,700.00 In specific ...

As the Validation Associate III, you'll have the chance to participate or lead a variety of ... family live full lives: The base pay for this position is $61,300.00 - $122,700.00 In specific ...

Experience working in Agile delivery environments with validation activities embedded in sprints * Experience with AI governance processes, including AI use case tracking, model risk classification ...

Showing results 41-60

Live In Ai Validation information

What is a live in AI validation job?

Live In AI Validation jobs involve working closely with artificial intelligence systems to test, review, and improve their performance in real-world settings. Professionals in this role typically monitor the outputs of AI algorithms, validate data quality, and provide feedback to ensure the AI operates accurately and ethically. These jobs may require living on-site or being embedded in environments where the AI is deployed, such as smart homes, research labs, or automated facilities. The goal is to bridge the gap between AI development and real-world application, ensuring the technology is reliable and effective.

What are the key skills and qualifications needed to thrive as a live in AI validation specialist?

To thrive as a Live In AI Validation Specialist, you need a solid background in computer science, data analysis, and machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow, and data annotation platforms, as well as an understanding of AI validation protocols, is typically required. Attention to detail, critical thinking, and strong communication skills are essential soft skills for ensuring accurate validation and effective collaboration with development teams. These competencies are crucial for maintaining AI system quality, reliability, and alignment with real-world requirements.

What are some common challenges faced by professionals in live in AI validation roles, and how can they be addressed?

Professionals in Live-In AI Validation often encounter challenges such as managing large-scale data collection in real-time environments and ensuring the accuracy of AI outputs in dynamic, real-world settings. Collaboration with data scientists, engineers, and end users is key to troubleshooting unexpected behaviors and improving system reliability. Strong communication and adaptability help team members quickly respond to new scenarios or hardware changes during validation. Staying up-to-date with the latest AI validation tools and continuous feedback loops can also significantly enhance the effectiveness of the validation process.

What is the difference between Live In Ai Validation vs Live In Data Entry?

AspectLive In Ai ValidationLive In Data Entry
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, client-facing, flexible hoursRemote, client-facing, flexible hours
Industry UsageAI, tech, data servicesVarious industries, administrative tasks
Common Search IntentAI validation, data verification jobsData entry, administrative jobs

Live In Ai Validation involves verifying and validating AI-generated data to ensure accuracy, often requiring critical thinking and familiarity with AI tools. In contrast, Live In Data Entry focuses on inputting data into systems, emphasizing speed and accuracy. Both roles are remote and require similar skills but serve different functions within the data management industry.

What are the most commonly searched types of Ai Validation jobs in Wisconsin?

The most popular types of Ai Validation jobs in Wisconsin are:

What are popular job titles related to Live In Ai Validation jobs in Wisconsin?

For Live In Ai Validation jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Live In Ai Validation jobs in Wisconsin look for?

The top searched job categories for Live In Ai Validation jobs in Wisconsin are:

What cities in Wisconsin are hiring for Live In Ai Validation jobs?

Cities in Wisconsin with the most Live In Ai Validation job openings:

Infographic showing various Live In Ai Validation job openings in Wisconsin as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Director of Biostatistics

micro1 AI

Milwaukee, WI • Remote

$60 - $65/hr

Part-time

Re-posted 4 days ago


Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.