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Machine Learning Data Associate Jobs in Boston, MA

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Neurable, INC

Machine Learning

Cambridge, MA · On-site

Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data ... in various machine and deep learning applications/design especially regarding neural networks ...

Neurable, INC

Machine Learning

Cambridge, MA

Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data ... in various machine and deep learning applications/design especially regarding neural networks ...

MORSE Corp

Machine Learning Engineer

Cambridge, MA · On-site

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role ... You will be responsible for acquiring truth data, integrating algorithms, testing algorithms ...

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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 Boston, MA is $20.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $21.68 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 near Boston, MA are hiring for Machine Learning Data Associate jobs? Cities near Boston, MA 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 Boston, MA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $42,341 per year, or $20.4 per hour.
Senior Machine Learning Data Scientist

Senior Machine Learning Data Scientist

Roberts Recruiting

Cambridge, MA

Other

Posted 8 days ago

Job description

Would you like to contribute creatively to a large, meaningful mission? We are in the processing of transforming healthcare. In particular, we are transforming the way that care givers across the country integrate information and make decisions. With a recent acquisition, we now have an unprecedented combination of scale and industry leading technology and talent to change the way we experience healthcare. Specifically designed with the size and scale to address the complexity of today's and tomorrow's healthcare system, we are a company committed to advancing medical benefits management - and enabling better outcomes for patients, providers, and plans. Ours is an evidence-based approach that leverages our exceptional capabilities, powerful analytics, and
an acute sensitivity to the challenges and needs of everyone involved across the healthcare spectrum. Applying proven talent and leading-edge technology, we harness healthcare's evolving demand and inherent change to realize and deliver improved results for everyone.
Want to join us?
We leverage our deep evidence based knowledge and technology to deliver services and software solutions so healthcare payers and providers can deliver the best quality care. Our natural language processing (NLP) and machine learning (ML) platform replaces outdated manual processes with software-driven clinical reasoning.
We are seeking highly creative and motivated post graduate and/or postdoctoral data scientists with exceptional skills who will complement our growing team. Our NLP platform coupled with large proprietary healthcare datasets and strategic vision of
transforming decision making in healthcare require a state of the art machine learning platform. As a
machine learning data scientist, you will:
Design, develop, and prototype machine learning and statistical analysis techniques to automate clinical decision making, including deep learning, collaborative filtering, and other machine learning techniques to extract insights at scale from structured and unstructured electronic health record data and other healthcare data sources.
Design and apply statistical techniques to evaluate and monitor the outcomes of automated clinical decision making at scale
Help evolve our NLP platform, combining input from clinicians and other domain experts with state of the art NLP techniques
Build data driven apps whose goals are to: translate data into intelligence, help transform the work of clinical decision making, quality reporting and pathway planning, and to help solve a variety of strategic business problems in healthcare.
Assists business with causal inferences & observations providing data-driven business insights.
Requirements:
"Can do" attitude: you are biased towards action and ready to speak your mind
Ph.D. in Computer Science, Mathematics, Statistics, Engineering, or a related field, or Master's degree with 3+ years of industry experience.
Strong publication record and/or additional industry experience a plus
Deep machine learning expertise. Experience with Deep Learning and/or Natural Language Processing algorithms and tools a strong plus.
Experience with a diverse set of computing technologies: Python, Linux, Bash, SQL. High proficiency in Python a strong plus. Experience with Java/C++ a strong plus.
Experience with big data frameworks (Hadoop, Spark, etc.) and/or NoSQL databases a plus
Experience with healthcare data a plus
Excellent organizational and communication skills
What's in it for you, other than improving patient care? We carefully select really smart people and provide them with the autonomy to build great software. We recognize and reward based on merit, not titles. We have amazing views from our offices, lots of food, an espresso machine and other perks. But most of all we offer the chance to build your career with people like you who want to solve problems, and have fun together.

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