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Machine Learning Data Associate Jobs in Massachusetts

Inmar

Director, Data Science (MarTech)

Boston, MA

... machine learning and artificial intelligence, and other data science techniques to explore, create ... As an Inmar Associate, you: * Put clients first and consistently display a positive attitude and ...

Varsity Tutors

Machine Learning Tutor

Lowell, MA · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Boston, MA · Remote

$40/hr

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

Ikigai Labs

Machine Learning Engineer

Cambridge, MA · On-site

$125K - $150K/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 ...

Varsity Tutors

Machine Learning Tutor

Lawrence, MA · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Waltham, MA · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Northampton, MA · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Somerville, MA · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Newton, MA · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Lynn, MA · Remote

$40/hr

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

Varsity Tutors

Machine Learning Tutor

Cambridge, MA · Remote

$40/hr

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

Chewy

Machine Learning Engineer III

Boston, MA · On-site

$175K - $249K/yr

Design and implement cloud architectures tailored for end-to-end machine learning workflows (including data preprocessing, model training, and deployment), ensuring scalability, reliability, and ...

Varsity Tutors

Machine Learning Tutor

Quincy, MA · Remote

$40/hr

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

Autodesk

Senior Machine Learning Engineer

Boston, MA · On-site +1

$113K - $155K/yr

You will work end to end, from data exploration and hypothesis formation through modeling ... As a Senior Machine Learning Engineer, you will also help influence technical direction by sharing ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Massachusetts

Machine Learning Data Associate information

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$10

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$33

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

As of Jun 20, 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.

What is the salary of ML data associate?

The salary of a Machine Learning 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 tools like Python or SQL can earn higher salaries.

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.

Is ML data associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Job satisfaction depends on individual interests and career goals in technology and data fields.

How much do ML data associates make in the US?

Machine Learning Data Associates in the US typically earn between $35,000 and $60,000 annually, depending on experience, location, and employer. Entry-level positions may start lower, while those with specialized skills in data annotation, labeling, or familiarity with tools like Labelbox or CVAT can command higher salaries.

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 does a machine learning data associate do?

A machine learning data associate is responsible for collecting, cleaning, and organizing data used to train machine learning models. They ensure data quality and consistency, often using tools like SQL, Python, or data annotation platforms, to support accurate model development and deployment.
What cities in Massachusetts are hiring for Machine Learning Data Associate jobs? Cities in Massachusetts with the most Machine Learning Data Associate job openings:
Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Massachusetts as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 67% Full Time, 25% Part Time, 2% Temporary, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $42,564 per year, or $20.5 per hour.

Junior Machine Learning Researcher

Straumann

Andover, MA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Straumann rating

7.0

Company rating: 7.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

289th of 418 rated machine equipment manufacturers

Job description


Machine Learning Researcher

POSITION OVERVIEW

The Machine Learning Researcher is responsible for the development, evaluation, and optimization of machine learning and deep learning algorithms that support innovative digital dentistry solutions. This role focuses on advancing artificial intelligence capabilities through research, model development, and collaboration with cross-functional teams to translate cutting-edge technologies into high-impact product features.

Working closely with software engineers, data engineers, product teams, and clinical experts, the Machine Learning Researcher contributes to the full machine learning lifecycle, including data preparation, model training, validation, deployment support, and intellectual property development.

KEY RESPONSIBILITIES

Machine Learning Research & Development

  • Define machine learning and data science requirements for new product features and capabilities.
  • Design, train, validate, and optimize machine learning models, with a focus on deep neural networks and computer vision applications.
  • Develop algorithms utilizing dental imaging data, including 2D and 3D radiographic images, CBCT scans, and intraoral optical scans.
  • Evaluate and improve existing machine learning models using state-of-the-art methodologies and published research.
  • Establish appropriate performance metrics, validation strategies, and error analysis approaches to ensure robust model performance.
  • Design and implement efficient algorithms and data structures for model training and inference.

Data & Engineering Collaboration

  • Collaborate with software engineers and data engineers to improve data pipelines, data management processes, and model deployment workflows.
  • Define data requirements for training, validation, and performance evaluation.
  • Develop data preprocessing and postprocessing pipelines aligned with product and feature requirements.
  • Support the integration of machine learning solutions into commercial software products.

Innovation & Intellectual Property

  • Monitor advancements in machine learning, deep learning, computer vision, and related research domains.
  • Assess emerging technologies and recommend opportunities for application within product development.
  • Contribute to intellectual property generation, including invention disclosures, patent applications, and technical documentation.
  • Collaborate with legal and intellectual property teams to support patent prosecution and maintenance activities.

Quality & Compliance

  • Ensure development activities align with applicable quality management systems and medical device regulations.
  • Support documentation and validation activities required for regulated software products.

REQUIRED QUALIFICATIONS

  • Bachelor's or master's degree in computer science, Data Science, Mathematics, Statistics, Engineering, or a related STEM discipline.
  • Strong understanding of machine learning, deep learning, statistics, and applied mathematics.
  • Minimum of 3 years of experience developing machine learning solutions, preferably within a regulated medical device, healthcare, or life sciences environment.
  • Proficiency in Python and machine learning development workflows.
  • Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with software development and best practices, including source control systems (e.g., Git).
  • Strong analytical and problem-solving skills with the ability to independently investigate complex technical challenges.
  • Demonstrated ability to learn new technologies quickly and contribute effectively within cross-functional teams.
  • Excellent written and verbal communication skills.

PREFERRED QUALIFICATIONS

  • Master's degree or PhD with a specialization in Machine Learning, Artificial Intelligence, Computer Vision, or a related field.
  • Experience working with medical imaging, computer vision, or image segmentation technologies.
  • Experience with 3D image analysis and deep learning techniques applied to healthcare datasets.
  • Familiarity with software development processes in regulated environments (e.g., ISO 13485, IEC 62304, FDA, MDR).
  • Publication records, patent contributions, or demonstrated research experience in machine learning-related fields.

COMPETENCIES

  • Scientific curiosity and innovation mindset.
  • Strong quantitative reasoning and statistical thinking.
  • Creative and practical problem-solving abilities.
  • Attention to detail and commitment to quality.
  • Self-motivated and capable of working independently.
  • Effective collaboration and stakeholder communication skills.
  • Continuous learning orientation.

WORKING CONDITIONS

  • Primarily remote position with occasional travel as required.
  • Collaboration with global cross-functional teams across multiple time zones.
  • Participation in research, product development, and innovation initiatives supporting digital dentistry solutions.

EDUCATION

Required:

  • Bachelor's degree in computer science, Mathematics, Statistics, Engineering, Data Science, or a related STEM discipline.

Preferred:

  • Master's degree or PhD with a concentration in Machine Learning, Artificial Intelligence, Computer Vision, or Data Science.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Employment Type:Full Time

Alternative Locations:United States : Andover (MA)

TravelPercentage:0 - 10%

Requisition ID: 21283

Employment Type: FULL_TIME

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