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Machine Learning Data Associate Jobs in Massachusetts

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Engineer

Cambridge, MA · On-site

$125.10K - $150.30K/yr

We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise ... Develop and deploy machine learning models for optimal performance and scalability. * Productivity ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133.10K - $175.50K/yr

Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine learning model development. This includes handling missing values, outlier detection, feature ...

We're enhancing our applications with cloud-native capabilities, including data at scale, edge ... As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133.10K - $175.50K/yr

Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine learning model development. This includes handling missing values, outlier detection, feature ...

Machine Learning Engineer

Cambridge, MA · On-site

$135K - $200K/yr

We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise ... Develop and deploy machine learning models for optimal performance and scalability. * Productivity ...

Machine Learning Engineer

Boston, MA · On-site

$125K - $165K/yr

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next ... Build pipelines for data ingestion and model deployment. * Work with engineers and subject-matter ...

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next ... Build pipelines for data ingestion and model deployment. * Work with engineers and subject-matter ...

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Machine Learning Data Associate information

See Massachusetts salary details

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$33

How much do machine learning data associate jobs pay per hour?

As of May 30, 2026, the average hourly pay for machine learning data associate in Massachusetts is $20.46, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $21.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Data Associate, and why are they important?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a Machine Learning Data Associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What are Machine Learning Data Associates?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

What cities in Massachusetts are hiring for Machine Learning Data Associate jobs? Cities in Massachusetts with the most Machine Learning Data Associate job openings:
Infographic showing various Machine Learning Data Associate job openings in Massachusetts as of May 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $42,564 per year, or $20.5 per hour.
Machine Learning Scientist

Other

Posted 12 days ago


Job description

We are MIT Media Lab spin-off,the pioneer in emotion recognition technology, the next frontier of artificial intelligence. We bringemotional intelligence to the digital world by measuring and analyzing facial expressions of emotion. We are growing our team to improve and expand our core technologies. We hope to help solve many unique and interesting problems focused around sensing, understanding and adapting to human emotion. This position is on the Science team, the team tasked with creating and refining our technology. This position is ideal for someone who is a great researcher that will contribute ideas and want to help shape the future of this space.
Responsibilities
  • Apply supervised and semi-supervised machine learning techniques on a variety of problems using our large dataset of spontaneous real-world face data
  • Experiment with deep architectures for the sensing and modeling of emotion
  • Prototype new forms of emotion sensing
  • Contribute to ourcore in-market SDK codebase
  • Other duties as assigned
Qualifications
  • A Masters/PhD degree in EE/Computer Science with specialization in machine learning, deep learning, computer vision or related areas.
  • Demonstrated experience (publications, projects) solving machine learning problems
  • Solid background and experience in "large-scale" machine learning methods, including, but not limited to, self-taught learning, transfer learning, co-training, and one-shot methods, as well as feature learning and deep convolutional architectures
  • Execute ideas effectively and efficiently