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Ml Data Associate Jobs in Massachusetts (NOW HIRING)

KPMG US

Senior Associate, AI Engineer

Boston, MA · On-site

$60 - $77.50/hr

They are seeking a Senior Associate, AI Engineer to develop AI applications and models, assist with ... Required : • Minimum three years of recent professional or academic experience in AI/ML, data ...

KPMG

Manager, AI Engineer

Boston, MA

... science, data science, engineering, or related field required; Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA

$176K - $242K/yr

About this role Biogen is seeking an Associate Director, AI/Data Science to help lead the strategic ... This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ...

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All JobsMl Data Associate JobsMl Data Associate Jobs in Massachusetts

Ml Data Associate information

See Massachusetts salary details

$62.8K

$74.3K

$140.9K

How much do ml data associate jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ml data associate in Massachusetts is $74,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $65,000.00 per year, depending on experience, location, and employer.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Massachusetts?

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What job categories do people searching Ml Data Associate jobs in Massachusetts look for?

The top searched job categories for Ml Data Associate jobs in Massachusetts are:

What cities in Massachusetts are hiring for Ml Data Associate jobs?

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Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $74,307 per year, or $35.7 per hour.

Project Perseus | Data Quality Analyst - German Speakers (Human-in-the-Loop AI)

Welocalize

Boston, MA • On-site

Full-time

Re-posted 25 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

335th of 496 rated business services

Job description

Job Summary:
Welo Data is a company focused on delivering high-quality training data transformation solutions for AI applications. They are seeking a Data Quality Analyst to support quality and execution across Data Labeling Associates, ensuring that work meets defined standards while providing feedback and guidance to improve accuracy and consistency.
Responsibilities:
• Support quality and execution across DLA teams, ensuring work meets defined standards at scale
• Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
• Act as the first line of support for DLAs — answering questions and helping interpret guidelines
• Help DLAs navigate ambiguity and apply evolving instructions effectively
• Support onboarding and training of new DLAs through hands-on guidance and coaching
• Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
• Identify patterns, recurring issues, and edge cases in both human and model outputs
• Participate in calibrations, team discussions, and stakeholder syncs
• Contribute to improving guidelines, processes, and overall team performance
• Document findings and feedback in a clear, concise, and actionable way
Qualifications:
Required:
• Native-level language proficiency and a university degree (Bachelor’s or higher).
• B2 or superior level of English.
• 2–4 years of experience in data annotation, content quality, QA, or related fields.
• Strong ability to interpret and apply complex guidelines with consistency.
• Excellent attention to detail with a high bar for quality.
• Ability to stay consistent while working with evolving guidelines and priorities.
• Experience in AI/ML data workflows or human-in-the-loop evaluation environments.
• Prior experience auditing or reviewing the work of others.
• Familiarity with safety, compliance, or policy-driven content evaluation.
• Must be authorized to work in the U.S. (no visa sponsorship).
• This is a 100% onsite position — remote work is not available for this role.
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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