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Data Curation Ai Machine Learning Jobs in Delafield, WI

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Translate complex business challenges into clearly defined analytics, machine learning, generative AI, agentic AI, and decision-science problem statements. * Perform exploratory data analysis ...

You'll work at the intersection of data, machine learning, software engineering and product to turn complex, real-world data into production AI solutions. This isn't about AI for AI's sake. Sometimes ...

Lead AI and Data Science Engineer II

Milwaukee, WI · On-site

$101K - $133K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ... in workforce data, build data and generative artificial intelligence (GenAI) applications, and ...

You'll work at the intersection of data, machine learning, software engineering and product to turn complex, real-world data into production AI solutions. This isn't about AI for AI's sake. Sometimes ...

You'll design and implement AI-powered automation solutions using machine learning, intelligent APIs, and external data sources to enrich customer and prospect data, strengthen data governance, and ...

New

You'll design and implement AI-powered automation solutions using machine learning, intelligent APIs, and external data sources to enrich customer and prospect data, strengthen data governance, and ...

New

Senior AI Engineer

Milwaukee, WI · On-site

$103K - $141K/yr

Position Summary The Senior AI Engineer will own the end-to-end technical lifecycle of enterprise ... data engineering, or machine learning operations * Demonstrated ability to architect scalable data ...

Data Architect

Mequon, WI · On-site

$56.50 - $72.75/hr

Data Architect Position Purpose / Mission Help shape the future of data across a digitally evolving ... Establish the foundation for advanced analytics, automation, machine learning, and AI adoption.

Data Architect

Mequon, WI · On-site

$120 - $180/hr

## Data ArchitectApplylocations: Charter Manufacturing Company, Inc - Mequon, WItime type: Full ... Establish the foundation for advanced analytics, automation, machine learning, and AI adoption.

Showing results 21-40

Data Curation Ai Machine Learning information

See Delafield, WI salary details

$42.7K

$124.4K

$170.2K

How much do data curation ai machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data curation ai machine learning in Delafield, WI is $124,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $131,900.00 per year, depending on experience, location, and employer.

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

Machine Learning Engineer

Bespoke Labs

Whitewater, WI • On-site

Full-time

Re-posted 20 hours ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination