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Ml Data Associate Jobs in Novi, MI (NOW HIRING)

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

OCI Architect

Troy, MI · On-site +1

OCI Data Science: model deployment, JupyterLab environments, ML pipelines, Aqua (AI Quick Actions ... Oracle Cloud Infrastructure Architect Associate (1Z0-1072) - required within 90 days if not already ...

OCI Data Science: model deployment, JupyterLab environments, ML pipelines, Aqua (AI Quick Actions ... Oracle Cloud Infrastructure Architect Associate (1Z0-1072) - required within 90 days if not already ...

... exposure (AI, BI, ML, Digital Transformation, Block Chain, Big Data, CLOUD, etc.) * Industry ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Showing results 21-35

Ml Data Associate information

See Novi, MI salary details

$53.9K

$63.8K

$121K

How much do ml data associate jobs pay per year?

As of Aug 31, 2026, the average yearly pay for ml data associate in Novi, MI is $63,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,400.00 and $55,800.00 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 are popular job titles related to Ml Data Associate jobs in Novi, MI?

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What job categories do people searching Ml Data Associate jobs in Novi, MI look for?

The top searched job categories for Ml Data Associate jobs in Novi, MI are:

What cities near Novi, MI are hiring for Ml Data Associate jobs?

Cities near Novi, MI with the most Ml Data Associate job openings:

Infographic showing various Ml Data Associate job openings in Novi, MI as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $63,834 per year, or $30.7 per hour.

Air Warfare Simulation Associate Engineer

FAAC Incorporated

Ann Arbor, MI • On-site

Full-time

Re-posted 7 days ago


Job description

Job Summary:
FAAC Incorporated is a company specializing in Air Warfare Simulations, seeking a hands-on Air Warfare Simulation Associate Engineer. The role involves working with the engineering team to apply business intelligence and data science skills, while adhering to software development procedures and contributing to simulation tasks.
Responsibilities:
• Learn, understand and follow existing FAAC procedures and technology such as software development procedures, unique modeling techniques, coding practices, software administration and configuration control.
• Adhere to all testing, quality assurance, documentation and security standards.
• Apply existing procedures and technology to assigned tasks. Which include the following:
• Analysis
• Modeling
• Flow charting
• Programming
• Program Checkout
• Execution of test plans
• Investigation of discrepancy reports
• Creation and maintenance of developing files
• Technical writing to include documentation, code comments, diagrams, charts & graphs.
• Use programming and analytical skills for solving problems.
• Performs independent work on assigned tasks with frequent supervision
• Documents work performed in accordance with instructions
• Reports progress and issues regularly to necessary team members.
• Develops skills to understand and respond to supervisory instructions
• Communicates aspects of work assignments with co-workers and management staff
• Works as an entry-level member of a team responsible for design and/or analysis of specific software engineering and simulation tasks.
• Enhances and expands technical skills while increasing knowledge of FAAC’s business products.
• Protects operations by keeping information confidential
• Other duties as assigned by management.
Qualifications:
Required:
• BS degree in a technical field of study (i.e. aerospace engineering, computer science, electrical engineering, mechanical engineering, math or physics).
• Formal mathematical training including a minimum of three (3) semesters of Calculus or equivalent.
• Proficient in understanding and communicating in the English language, generally and technically.
• Working knowledge of interactive computer systems or PCs; familiarity with Windows, Linux, and or Unix Operating Systems desirable.
• Working knowledge of mid to high level programming language (e.g. C/C++); familiarity with C, C++, FORTRAN, and/or Ada desirable.
• Ability to develop data-driven models to analyze and predict the behavior of complex, noisy, and adaptive physical systems.
• Experience integrating ML models into existing simulation environments.
• Familiarity with python and common ML frameworks (Torch, TF, JAX).
• Experience with control systems, aerodynamics, or numerical modeling is desired.
• Ability to distinguish print on paper and computer screens, and efficiently access, input, create, update, and retrieve information from the computer.
• Ability to assimilate concepts/technologies and effectively apply the principles to complete entry-level engineering assignments.
• Ability to problem solve, as necessary once entry-level engineering assignments are completed and tested.
• Ability to follow directions.
• Ability to work independently on assigned tasks with frequent supervision.
• Ability to be flexible in accepting new assignments.
• Ability to work well with people and function as an entry-level member of a team responsible for an engineering task or project.
• Must be able to qualify for a Department of Defense Security Clearance.
• Must be a US citizen and not have dual citizenship with any other country to obtain security clearance.
Company:
FAAC Incorporated is the leader in simulation for training and research. Founded in 1971, the company is headquartered in Ann Arbor, USA, with a team of 51-200 employees. The company is currently Growth Stage.