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Machine Learning Data Associate Jobs in Boston, MA

As part of a 160+ member community of data scientists, John Hancock, and our parent Manulife, you ... We are seeking a skilled Machine Learning Engineer with a strong focus on building data pipelines ...

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Machine Learning Tutor

Lynn, MA ยท 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 ...

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 ยท 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 ยท 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 ยท Remote

$125.40K - $165.30K/yr

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

Senior Machine Learning Engineer

Boston, MA ยท 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 ยท 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 ยท 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 Boston, MA salary details

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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:
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.

Associate Machine Learning Engineer

Manulife

Boston, MA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

John Hancock's AI team works across the US Insurance business to optimize our sales and marketing activities, make life insurance easy to buy, and streamline in-force and claims operations! We have close relationships with functional leadership across the business and a strong working relationship with technology partners. As part of a 160+ member community of data scientists, John Hancock, and our parent Manulife, you will have an opportunity to network with experts across the globe.

John Hancock is a unit of Manulife Financial Corporation, a leading international financial services group offering insurance and wealth management solutions in the US, Canada, Europe, and Asia!

We are on a transformational journey. We want to remove complexity from the financial services industry, to make people's lives better and decisions easier. Being part of this transformation is hugely exciting and offers talented, ambitious people an amazing opportunity to build a career.

We are seeking a skilled Machine Learning Engineer with a strong focus on building data pipelines, AI solution development, deployment, and monitoring. The ideal candidate will have experience in data ingestion & curation, developing scalable and robust AI solutions, and deploying AI solutions in production following MLOps best practices on Microsoft Azure and Databricks platforms. A strong background in Computer vision, NLP and LLM models will be advantageous in this role.

Position Responsibilities:

  • Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with business subject matter expertise.
  • Designing and solutioning AI/GenAI architectures for business teams, specifically for plugin-based solutions and custom AI/GenAI application builds.
  • Partner with data engineers and architects to design and implement scalable database solutions and data models, organizing both structured and unstructured data.
  • Develop processes for data cleansing, enrichment, and validation to improve quality and reliability.
  • Collaborate with data scientists to develop and deploy machine learning models in cloud following best practices.
  • Monitor, solve, and optimize data pipelines for performance and efficiency.
  • Partner with IT and technology teams to put together data architecture designs, integration procedures, and data management workflows.
  • Partner with data and platform partners to implement the best practices in managing data and platforms, supporting AI development and deployment at scale.
  • Develop automation scripts and tools to ease the deployment, scaling, and management of data systems within the cloud environment.
  • Continuously monitor and improve the performance of AI solutions through data analysis and testing.
  • Strong communication to help business partners better understand the use of data, ML models, and AI solutions.

Required Qualifications:

  • Experienced in developing and deploying models using AI and GenAI technologies in cloud.
  • Experienced in data modeling, ETL/ELT development, and data warehousing.
  • Master/PhD degree in a quantitative field such as Data Science, Engineering, Computer Science or related technical field.
  • Preferred Qualifications:
  • Hands-on experience in developing models solving NLP tasks, including Document Classification, Entity Extraction, Entity Relation Extraction, etc.
  • Hands-on experience in processing documents (PDF/Images) using vision and/or language models, as well as OCR techniques.
  • Proven experience with Databricks and Azure cloud services and data solutions including but not limited to Azure SQL Data Warehouse, Azure Cosmos DB, Azure Data Lake Storage, Azure Function and Azure Data Factory.
  • Proficiency with big data processing frameworks such as Apache Spark and experience with programming languages like Python, Scala, or SQL.
  • Skilled in the machine learning modeling life cycle, including exploratory data analysis, data cleansing, feature engineering, model building, deployment and monitoring.
  • Good understanding of vectorization and embedding, prompt engineering, RAG, Multi-agent techniques.
  • Experience in developing and deploying models in cloud-based environments, specifically Microsoft Azure, and Databricks, following MLOps and DevOps best practices.
  • Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.
  • Excellent problem-solving skills and the capacity to work under tight deadlines in a fast-paced environment.
  • Previous work in agile development environments and knowledge of project management tools such as JIRA.

When you join our team:

  • We'll empower you to learn and grow the career you want.
  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team, we'll support you in shaping the future you want to see.

#LI-Hybrid

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

Boston, Massachusetts

Working Arrangement

Hybrid

Salary range is expected to be between

$80,625.00 USD - $134,375.00 USD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify

Company: John Hancock Life Insurance Company (U.S.A.)