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Ml Data Associate Jobs in Madison, WI (NOW HIRING)

AI Engineer II

Middleton, WI ยท On-site

$100K - $137K/yr

Headquartered in Middleton WI, we have 6,000 associates with locations in North America, Europe ... Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ...

Headquartered in Middleton WI, we have 6,000 associates with locations in North America, Europe ... Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ...

Headquartered in Middleton WI, we have 6,000 associates with locations in North America, Europe ... Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ...

The Senior Pricing Analyst will report to the Associate Director of Strategic Pricing and will ... Collaborate with cross-functional teams to gather data and insights relative to strategic pricing ...

The Senior Pricing Analyst will report to the Associate Director of Strategic Pricing and will ... Collaborate with cross-functional teams to gather data and insights relative to strategic pricing ...

Senior AI Engineer

Middleton, WI ยท On-site

$107K - $147K/yr

... associates, consumers and end users, business partners, and communities. We want you to join our ... Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ...

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

... associates, consumers and end users, business partners, and communities. We want you to join our ... Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ...

Senior AI Engineer

Middleton, WI ยท On-site

$107K - $147K/yr

... associates, consumers and end users, business partners, and communities. We want you to join our ... Collaborate with data engineering teams to ensure high-quality, governed, and accessible data for ...

We stay current with emerging technologies, thoughtfully integrating AI/ML tools where they enhance ... Perform data analytics and build predictive models to extract insights from complex datasets and ...

Ml Data Associate information

See Madison, WI salary details

$57.9K

$68.6K

$130K

How much do ml data associate jobs pay per year?

As of Jul 30, 2026, the average yearly pay for ml data associate in Madison, WI is $68,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $60,000.00 per year, depending on experience, location, and employer.

What is the salary of ML data operations associate?

The salary of an ML Data Associate typically ranges from $40,000 to $70,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced professionals with specialized skills in data annotation and machine learning tools can earn higher salaries.

What are the key skills and qualifications needed to thrive as an ML Data Associate, and why are they important?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are ML Data Associates?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

Is being an ML data associate stressful?

Working as an ML data associate can be stressful due to tight deadlines, repetitive tasks, and the need for high accuracy in data labeling and management. The role often requires attention to detail, patience, and the ability to handle large volumes of data efficiently.

Is ML a high paying job?

Machine Learning (ML) Data Associate roles typically offer competitive salaries that vary based on experience, location, and industry. Entry-level positions may start lower, but with skills in programming, data analysis, and familiarity with ML tools, salaries can increase significantly with experience and specialization.

How much does an ML Data Associate make?

An ML Data Associate typically earns between $40,000 and $70,000 annually, depending on experience, location, and the complexity of data tasks. Entry-level positions may start lower, while experienced associates with specialized skills in data annotation or labeling can earn higher salaries.

What are some common challenges faced by ML Data Associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.
What are popular job titles related to Ml Data Associate jobs in Madison, WI? For Ml Data Associate jobs in Madison, WI, the most frequently searched job titles are:
What cities near Madison, WI are hiring for Ml Data Associate jobs? Cities near Madison, WI with the most Ml Data Associate job openings:

CyberSecurity AI Engineer

NELNET BUSINESS SOLUTIONS

Madison, WI โ€ข On-site

$115K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago


Job description

Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities.

The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you're part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work.

We need someone who's equally comfortable in security engineering and AI technology, and who's ready to work closely with IT, security, and data science teams to build AI solutions that are secure, compliant, and built to last.
This role calls for real technical depth, sound judgment, and a proactive approach to risk management. Here's what you'll be doing:
- Monitoring and strengthening the security posture of our AI/ML systems, APIs, and model-serving environments
- Building detection and monitoring capabilities to identify risks such as model misuse, prompt injection, data poisoning, and unauthorized model access
- Partnering with development, operations, and security teams to secure AI environments across their full lifecycle
- Automating security monitoring and remediation workflows for AI systems
- Evaluating and implementing AI security tools and model governance solutions
- Contributing to the development of AI-specific risk frameworks, controls, and policies
- Staying current on the evolving AI risk landscape and supporting security assessments and testing of LLMs and AI services

AI and Security Engineering
Secure AI/ML model development and deployment environments, including LLMs, vector databases, and training pipelines.
Build automated tools to detect and mitigate AI-related risks, such as anomalous model outputs and prompt injection attempts.
Conduct security testing and threat modeling for AI systems.
Support logging, monitoring, and alerting for AI/ML environments integrated with SIEM/XDR platforms.
Help design model access controls, encryption, and governance enforcement.
Assist in developing and enforcing AI-related security policies and procedures.

Innovation
Question legacy assumptions and recommend AI-native security approaches.
Identify short- and long-term strategies for securing AI assets in ways that support business value.
Build security prototypes and proof-of-concepts for emerging AI architectures.
Stay current on AI security research and turn findings into practical defenses.

Agility
Adapt as the AI landscape and threat environment continue to evolve.
Navigate ambiguity in AI risk management and compliance requirements.
Help business and technical partners adjust to changing AI security requirements.
Stay responsive and adaptive when incidents involving AI systems arise.

Problem Solving
Investigate security incidents involving AI-generated outputs or manipulated inputs.
Apply critical thinking to defend against emerging AI risks.
Develop layered mitigation strategies across models, APIs, and infrastructure.
Own problem resolution from start to finish.

Collaboration
Partner with CyberSecurity analysts, developers, and AI engineers to defend AI systems.
Mentor peers on emerging risks and best practices in AI/ML security.
Foster cross-functional alignment to build AI security into enterprise roadmaps.

Communication Skills
Translate technical AI security issues into business risk language for stakeholders.
Write clear documentation for detection rules, playbooks, and findings.
Present AI risk scenarios and mitigation strategies to both technical and non-technical audiences.

Strategic Focus
Align AI security efforts with Nelnet's business, compliance, and technology goals.
Serve as a trusted advisor on AI governance, LLM access, and model risk.
Anticipate future regulatory requirements around AI usage and safety.
Deliver security solutions that balance innovation with operational integrity.

**Pay Range for this role is - $115,000 -$155,000 dependent on experience and education.

EDUCATION:
Knowledge equivalent to completing a Bachelor's degree in Computer Science or a related field.

EXPERIENCE:

  • 3 to 5 years of experience in cybersecurity, security engineering, or risk management.

  • Hands-on experience with machine learning systems, LLMs (Anthropic Claude, OpenAI, or open-source models), or AI/ML platforms such as SageMaker, Azure ML, or Vertex AI.

  • Familiarity with adversarial machine learning concepts and model risk is preferred.

  • Experience with security tools, monitoring platforms, or security automation frameworks.

  • Experience in application security, DevSecOps, or secure software development lifecycle (SDLC) is a plus.

COMPETENCIES - SKILLS/KNOWLEDGE/ABILITIES:

Needs:

  • Knowledge of security, controls, and computer technology.

  • Ability to lead and motivate others.

  • Ability to apply statistics and probability to identify problems, trends, and relationships in work-related data.

  • Knowledge of at least one computer development language, along with related methodologies and techniques.

  • Understanding of AI system architectures and their security implications.

  • Scripting or development experience in Python or a similar language.

  • Knowledge of AI-specific risk frameworks such as MITRE ATLAS or the OWASP LLM Top 10.

  • Strong analytical skills and comfort working with data, logs, and system telemetry.

  • Ability to work across teams and lead cross-functional security initiatives.

  • Familiarity with regulations governing IT environments.

  • Familiarity with regulatory and ethical frameworks around AI security and model governance.

  • Familiarity with enterprise LLM deployment and governance, including tools like Claude or similar platforms.

  • Familiarity with infrastructure deployment and systems administration.

  • Excellent organizational, presentation, verbal, and written communication skills.

  • Ability to assess and communicate risk and urgency clearly to both management and engineering staff.

  • Strong self-motivation, with the ability to set and follow through on long-term goals.

  • Genuine interest in staying technically current and building new expertise.

  • Comfortable questioning existing assumptions when it makes sense to do so.

  • Openness to changing technology and business needs.

  • Sees change as a chance to grow rather than a disruption.

  • Ability to adjust communication style to fit the audience.

Wants:

  • Knowledge of enterprise risk management and security governance frameworks.

  • Familiarity with common security tooling and methodologies.

  • Solid understanding of machine learning architectures, LLMs (GPT, LLaMA, Claude), and common AI frameworks such as PyTorch, TensorFlow, or Hugging Face.

-Please note that we are unable to provide visa sponsorship for this position. To be considered, candidates must already be authorized to work in the United States without the need for current or future sponsorship

Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: Benefits & Perks - Nelnet Inc.


Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.


Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 orcorporaterecruiting@nelnet.net.


Nelnet is a Drug Free and Tobacco Free Workplace.


Use of Artificial Intelligence in Hiring


We may use automated or artificial intelligence enabled tools to assist with the initial review of applications, such as identifying relevant skills or experience. These tools are used to support human review and do not make hiring decisions. A recruiter reviews applications and determines which candidates move forward in the hiring process. For more information, see our Privacy Policy and Pre-Use Notice: Automated Tools in Hiring