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Ml Data Associate Jobs in Indiana (NOW HIRING)

Elevance Health

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $119K/yr

Research Scientist Senior This role requires associates to be in-office 1 - 2 days per week ... Serves as a hands-on individual contributor building scalable AI/ML solutions and production-grade ...

Elevance Health

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $120K/yr

Research Scientist Senior Research Scientist Senior This role requires associates to be in-office ... Serves as a hands-on individual contributor building scalable AI/ML solutions and production-grade ...

Elevance Health

Research Scientist Senior

Indianapolis, IN · On-site

$94K - $120K/yr

Research Scientist Senior Research Scientist Senior This role requires associates to be in-office ... Serves as a hands-on individual contributor building scalable AI/ML solutions and production-grade ...

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Showing results 21-40

All JobsMl Data Associate JobsMl Data Associate Jobs in Indiana

Ml Data Associate information

See Indiana salary details

$54.7K

$64.7K

$122.8K

How much do ml data associate jobs pay per year?

As of Sep 3, 2026, the average yearly pay for ml data associate in Indiana is $64,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $56,600.00 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 Indiana?

For Ml Data Associate jobs in Indiana, the most frequently searched job titles are:

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

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

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

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

Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,743 per year, or $31.1 per hour.

Data Center Construction- Mid to Senior Project Manager (Low Voltage/ML Racks)

MGAC

Fort Wayne, IN

$110K - $155K/yr

Full-time

Retirement, PTO

Re-posted 5 days ago

Job description

It's an exciting time to join MGAC!

MGAC is a global boutique consultancy dedicated to managing and representing our clients' best interests. Our success is rooted in hiring exceptional people who are driven to do challenging work with the unique blend of experience, integrity, creativity, and commitment that separates us from our competitors.

We have three simple goals: to do the most interesting and challenging work, to have fun working together, and to build a successful business in the process.

This is an Owners Representative, full-time position that will require local support in Fort Wayne, IN with 4-5days onsite or as client needs change. 
Unlock Your Potential

We're looking for candidates eager to take ownership of challenging projects and grow their careers. Here's what will set you up for success at MGAC:

  • 4+ years of experience in construction project management with a thorough understanding of the building design and construction process.

  • Bachelor's, Associate's, or equivalent experience in a construction-related discipline.

  • 2+ years of experience managing critical environment construction projects (e.g., data centers, labs, hospitals).

  • 3+ years of experience focused on project management in the telecommunications, low-voltage and fiber optics construction experience.

  • Experience with project oversight of the design, installation, and commissioning of all structured cabling/low-voltage networks and ultra-high-density AI/Machine Learning (ML) compute infrastructure (40kW-100kW+ per rack). 

  • 2+ years of MEP experience in ground-up construction necessary. 

  • Excellent analytical, organizational, problem-solving, presentation, interpersonal, verbal, and written communication skills.

  • Ambitious, construction and project management-focused, and seeking a modern and energetic business that will empower you to grow your career.

What You'll Be Doing 

MGAC's Critical Environments team manages the construction of data centers and hospitals with deep industry expertise. We act as owner's representatives-resolving issues, managing conflicts, and guiding informed decisions to keep projects on track. As a Project Manager at MGAC, you will lead incredible, resume-building, high-visibility projects.

Project Leadership

  • Independently manage the full scope of projects while simultaneously managing components of others.

  • Mentor and lead teams while managing schedule, scope, and budget.

  • Lead project risk management, contingency planning, and schedule and budget recovery planning.

  • Achieve and maintain the client's vision as a trusted partner.

Design Management

  • Manage all design platforms and documentation (Autodesk/Procore), including file structure, compliance, schedules, design packages, and QA/QC of issued drawings.

  • Lead design coordination across partners-driving clarity, cross-EOR alignment, VE discussions, lessons learned, and consistent information sharing between buildings.

  • Oversee design-related construction administration, including A&E meetings, submittals/RFIs, site walks, mock-ups, and coordination with EORs, subs, and the GC.

  • Support change management, cost impact reviews, and tenant/customer design integration while serving as the primary liaison between PM/CM teams and A&E partners.

Financial and Contract Management

  • Ensure timely invoicing and collection.

  • Identify and secure add-services opportunities.

Collaboration and Communication

  • Maintain collaborative relationships with clients, A&E professionals, contractors/GCs, vendors, and other teams.

  • Anticipate project and team risks; solve complex challenges and conflicts.

  • Conduct requirements gathering and needs assessments.

Our Critical Environments project work is expanding, with a healthy pipeline and numerous opportunities on the horizon.

Why Work With Us?

  • 28+ years strong in North America and growing fast-with a positive, energizing culture.

  • Consistently recognized as a Top Workplace with a true employee-first mindset.

  • Entrepreneurial spirit encouraged-bring fresh ideas and exceed client expectations.

  • Global reach, yet agile and client-focused like a boutique firm.

  • Your voice matters-flat structure, open doors, and recognition for your contributions.

  • Strong work-life balance, generous PTO, and top-tier wellness benefits.

Beyond the Paycheck: Discover Our Benefits

  • Recognized by The Washington Post as a Top Workplace for over a decade.

  • Vacation starts on day one-accrue 3 weeks per year, plus a paid birthday off.

  • 8 sick days and 9 paid holidays annually for full-time employees.

  • Competitive benefits that support both personal and professional growth.

Salary Range

$110,000 - $155,000 per year (commensurate with experience)

The advertised salary range is intended as a general guideline and may vary based on factors such as experience, expertise, and location. This base salary does not reflect the full compensation package, which may include bonuses, a 401(k) match, and other benefits.

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