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Ml Data Associate Jobs (NOW HIRING)

Lantern

Data Scientist

Dallas, TX · On-site

Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus * Experience with GitHub or Azure DevOps * Prior consulting and business development experience a plus.

Russell Investments

Principal Data Architect

New York, NY · On-site

$160K - $190K/yr

Enable AI/ML use cases by designing reliable, well-structured, and observable data pipelines ... all associates and employment applicants regardless of race, religion, ancestry, creed, color ...

vTech Solution

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

... ML data readiness and feature-store-aligned data structuring. (5-8 Years) * Cloud data engineering exposure (Azure, Databricks, GCP). (5-8 Years) * Master's degree preferred. * DAMA CDMP (Associate ...

MD Anderson

Senior Data Engineer - Healthcare AI

Houston, TX · On-site

$101K - $137K/yr

AI/ML Data Expertise : Experienced in designing and managing feature and vector stores, batch and ... Azure Data Engineer Associate (DP-203), EPIC Cogito Certification, HIPAA Privacy & Security ...

MD Anderson

Senior Data Engineer - Healthcare AI

Houston, TX · On-site

$101K - $137K/yr

AI/ML Data Expertise: Experienced in designing and managing feature and vector stores, batch and ... Azure Data Engineer Associate (DP-203), EPIC Cogito Certification, HIPAA Privacy & Security ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Recently graduated from, a degree/certificate program in Computer Science, AI/ML, Data Science ...

iSoftStone

Associate AI Developer

White Plains, NY

$20/hr

iSoftStone, Inc. is seeking an Associate AI Developer to join our Team In New York, NY, Seattle, WA ... Recently graduated from, a degree/certificate program in Computer Science, AI/ML, Data Science ...

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Ml Data Associate information

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$57.5K

$68K

$129K

How much do ml data associate jobs pay per year?

As of Jul 7, 2026, the average yearly pay for ml data associate in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 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.
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Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,039 per year, or $32.7 per hour.
Data Scientist

Data Scientist

Lantern

Dallas, TX • On-site

Full-time

Posted 23 days ago

Job description

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners.
Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society.
Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.
As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results. As a Data Scientist, you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will have the opportunity to contribute to multiple projects and multiple phases of the solution life cycle including solution design and implementation. Key Responsibilities
  • Experience in the full ML lifecycle – understanding, developing, deploying, and maintaining traditional data science solutions.
  • Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks.
  • Strong programming skills in Python or PySpark.
  • Solid understanding of supervised + unsupervised learning algorithms and concepts.
  • Experience with data preparation, feature engineering, and data engineering practices. Understanding of supervised + unsupervised learning algorithms and concepts.
  • Experience in the optimization and tuning of machine learning solutions to handle large volumes of data.
  • Outstanding verbal and written communication skills.
  • Excellent presentation and whiteboarding skills.
  • Experience communicating highly technical concepts to non-technical audiences. 
  • Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements.
Skills, Knowledge and Expertise
  • Bachelor’s degree in computer science or related field
  • Experience building solutions with Azure AI Services (OpenAI, Vision, Speech, etc.), Microsoft Fabric or Azure Data Factory.
  • AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus 
  • Experience with GitHub or Azure DevOps 
  • Prior consulting and business development experience a plus.

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