1

Ml Data Associate Jobs in Minnesota (NOW HIRING)

Forward Deployed AI Engineer

Minneapolis, MN ยท On-site

$132K - $366K/yr

Serve as the technical bridge between product, engineering, data, and business stakeholders ... Minimum of 2 years experience with modern AI/ML platforms such as: * OpenAI, Anthropic, or similar ...

Lead AI Engineer - Remote

Eden Prairie, MN ยท On-site +1

$145K - $249K/yr

Apply PII redaction pipelines on ingested documents and enforce data security using Model Context ... AWS Certified Cloud Practitioner or Developer Associate * AI/ML Specialty * Experience with Graph ...

Showing results 41-60

Ml Data Associate information

See Minnesota salary details

$56.3K

$66.6K

$126.3K

How much do ml data associate jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ml data associate in Minnesota is $66,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $58,300.00 per year, depending on experience, location, and employer.

What is an ml data associate?

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 are the key skills and qualifications needed to thrive as an ml data associate?

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 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 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.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What job categories do people searching Ml Data Associate jobs in Minnesota look for?

The top searched job categories for Ml Data Associate jobs in Minnesota are:

What cities in Minnesota are hiring for Ml Data Associate jobs?

Cities in Minnesota with the most Ml Data Associate job openings:

Infographic showing various Ml Data Associate job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $66,638 per year, or $32 per hour.

Sales Engineer, Identity Security - Northeast

Cyera

Minneapolis, MN โ€ข On-site

$250K - $275K/yr

Other

Medical, Dental, Vision, Life, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Sales Engineer

Come join the company at the center of how the world adopts AI securely. Cyera's mission is to give enterprises the confidence to embrace AI safely deciding exactly what it can see and do as it reaches deeper into the business. We started by solving the hardest problem in data security: finding and securing data faster and more precisely than anyone thought possible. That foundation is now the essential AI trust infrastructure for the Fortune 1000. We're hiring mission-driven talent to put those leaders at the center of our story.

As a high performing Sales Engineer, you will work with our prospects and clients to craft enterprise-wide cloud data security and data risk management solutions. This is a consultative role with deep analytical and business process skill sets and the ability to create insightful solutions using Cyera's technology.

The ideal candidate will be a customer-focused, results-oriented individual with a strong understanding of cybersecurity, particularly in application security and identity management.

Responsibilities:

  • Drive incremental revenue through large, complex sales opportunities that maximize Cyera's capabilities and integrated value proposition
  • Identify client business issues and desired outcomes and architect an information availability solution that utilizes all of Cyera's products and services
  • Deliver, manage, and run proof of values (PoV's) and Use Case Demos (UCD) on customer sites, consult with key executive stakeholders, and drive sales via technical demonstrations
  • Manage internal resources via cross-functional communication and support sales drive to build a sustainable, repeatable business model
  • Act as the technical point of contact for the growing Cyera partner channel and represent Cyera at marketing events

Required Qualifications:

  • Previous Cloud, TDR, CASB, DLP or data security experience in a Sales Engineer, Solutions Architect, or similar technical sales role.
  • Strong understanding or experience in Identity and key identity principles.
  • You have an understanding of or experience with AI-driven solutions.
  • Strong knowledge in one of the three major cloud provider environments related to roles/permissions/API (AWS and/or Azure preferred).
  • Fundamental network & database experience.
  • Strong understanding of data storage types and basic understanding of encryption techniques and key management, cloud IAM, and network design/engineering/protocol.
  • Fundamental understanding of: ML/AI, Data Regulatory Frameworks, Privacy and Data Retention programs.
  • Excellent communication, presentation, and interpersonal skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
  • Knowledge of SFDC and opportunity tracking.
  • Results-oriented mindset and desire to thrive in a hyper-growth startup environment
  • Strong problem-solving skills and the ability to think creatively to address customer challenges.
  • Ability to travel up to 50% within assigned territory.

Desired Certifications (one or more with higher level being the most preferred):

  • AWS Certified Cloud Practitioner - Foundational or Microsoft Certified Azure Fundamental
  • AWS Solution Architect - Associate or Professional
  • AWS Cloud Security Engineer or Architect
  • Azure Administrator Associate
  • Azure Security Engineer Associate
  • Azure Solutions Architect
  • CCSP - Certified Cloud Security Professional

Compensation Range: $250,000-275,000.

The range represents total compensation, and may include incentive for sales roles, equity or benefits, as applicable.

This compensation range represents Cyera's good faith and reasonable estimate of the range of possible compensation for this role at the time of posting, and Cyera may ultimately pay more or less than the posted range. The final salary for this position will be determined in Cyera's sole discretion, consistent with applicable law, and based on a variety of factors, including but not limited to the employee's work experience, skills, and qualifications for the role, as well as the needs of Cyera's business and other operational considerations.

Final compensation will vary based on seniority and relevance of experience, location, and position requirements.

This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors. In addition to a standard benefits and equity package, we offer a generous salary. Final compensation will vary based on seniority and relevance of experience, location, and position requirements.

This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors.

Benefits - Why Cyera?

  • Ability to work remotely, with office setup reimbursement
  • Unlimited PTO
  • Paid holidays and sick time
  • Health, vision, and dental insurance
  • Life, short and long-term disability insurance