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Machine Learning Data Associate Jobs in Nahant, MA

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 ...

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Partner with Data Scientists to transform research algorithms into robust, production-quality software. * Implement machine learning algorithms in high-performance C++ and Python with a focus on ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended ...

SupportFinity™

Machine Learning Engineer

Boston, MA · On-site

$140 - $210/hr

About the Role We are seeking a high-impact Machine Learning Developer/Engineer to join our ... You must be capable of building and maintaining production-quality code and data pipelines.

Suno

Machine Learning Scientist

Boston, MA · On-site

The role involves ownership of technical decisions for building and deploying state-of-the-art machine learning models, requiring a strong background in data engineering and model training.

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Machine Learning Data Associate information

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

As of Aug 20, 2026, the average hourly pay for machine learning data associate in Nahant, MA is $18.40, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $19.57 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

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 are the key skills and qualifications needed to thrive as a machine learning data associate?

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 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.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning 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. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Nahant, MA are hiring for Machine Learning Data Associate jobs?

Cities near Nahant, 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 Nahant, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $38,263 per year, or $18.4 per hour.

Senior Machine Learning Data Engineer - Cambridge

Motion Recruitment Partners, LLC

Cambridge, MA • On-site

$125K - $150K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description


A fast-growing robotics company is seeking a Senior Machine Learning Data Engineer to help develop the data foundation that powers intelligent robotic systems operating in high-throughput logistics environments. The organization builds AI-driven automation solutions that leverage computer vision, machine learning, and robotic manipulation to solve complex real-world challenges involving package handling, object identification, and operational optimization.
As a Senior Machine Learning Data Engineer, you will focus on the collection, preparation, management, and delivery of data used to train, evaluate, and improve machine learning models. Unlike traditional data engineering positions that concentrate on analytics, reporting, or platform infrastructure, this role is centered on enabling AI and computer vision teams to build more accurate and effective robotic systems.
You will work closely with machine learning engineers, roboticists, software developers, and product teams to create scalable data pipelines capable of handling large volumes of image, video, sensor, and operational data. The ideal candidate enjoys solving challenges surrounding data labeling, feature generation, model training datasets, data versioning, and machine learning infrastructure. This role offers the opportunity to directly influence how AI systems learn and improve within a cutting-edge robotics environment.
Required Skills & Experience
  • Strong proficiency with Python and SQL
  • Experience building data pipelines for machine learning workloads
  • Experience working with large-scale image, video, or sensor datasets
  • Knowledge of data processing frameworks such as Spark or Ray
  • Experience with cloud platforms such as AWS
  • Understanding of data modeling and storage solutions for ML applications
  • Experience building ETL workflows and automation solutions
  • Familiarity with machine learning lifecycle concepts
  • Experience with version control and software engineering best practices
  • Strong problem-solving and analytical skills

Desired Skills & Experience
  • 5+ years of Data Engineering or Machine Learning Infrastructure experience
  • Experience supporting computer vision or AI-focused teams
  • Robotics, automation, or industrial technology experience
  • Familiarity with model training workflows and feature engineering
  • Experience with annotation platforms and data labeling operations
  • Knowledge of MLOps tools and practices
  • Experience working with unstructured datasets
  • Bachelor's degree in Computer Science, Data Engineering, Engineering, Mathematics, or a related field

What You Will Be Doing
Daily Responsibilities
  • 100% Hands On
  • Build and maintain machine learning data pipelines supporting robotics and AI initiatives
  • Develop processes that prepare image, video, and sensor datasets for model training
  • Partner with machine learning teams to improve the quality and accessibility of training data
  • Design scalable storage and retrieval solutions for large unstructured datasets
  • Create data validation processes that improve model reliability and performance
  • Support feature engineering, experimentation, and dataset generation workflows
  • Implement automation that reduces manual effort in data preparation and curation
  • Monitor data pipelines and resolve issues impacting model development
  • Optimize data processing workflows for performance and scalability
  • Contribute to the evolution of machine learning infrastructure and data best practices

The Offer
  • Bonus OR Commission eligible

You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) (including match, if applicable)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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