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Machine Learning Data Associate Jobs in Brighton, 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 ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/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 ...

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 ...

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.

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA

$72K - $212K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... machine learning algorithms and predictive modeling to solve complex business problems - Creating ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Brighton, MA

Machine Learning Data Associate information

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

As of Jul 30, 2026, the average hourly pay for machine learning data associate in Brighton, MA is $20.42, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $21.73 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 for a ML data associate?

The salary for a Machine Learning Data Associate at Amazon typically ranges from $40,000 to $70,000 per year, depending on experience, location, and specific role requirements. Entry-level positions may start lower, while experienced associates or those in higher-cost areas can earn more. Benefits often include health insurance, paid time off, and opportunities for skill development in data annotation and machine learning tools.

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. Compensation and job satisfaction depend on the employer, location, and individual career goals.

How much do machine learning data associates make?

Machine Learning Data Associates typically earn between $40,000 and $70,000 annually, depending on experience, location, and the complexity of data tasks. Entry-level positions may start lower, while experienced associates working with large datasets or specialized tools can earn 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 near Brighton, MA are hiring for Machine Learning Data Associate jobs? Cities near Brighton, MA with the most Machine Learning Data Associate job openings:
Machine Learning Data Associate jobs near you

Director, Data Science and Machine Learning

Flagship Pioneering, Inc.

Cambridge, MA • On-site

Other

Medical, Retirement

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

Job description

Company Description 

FL121 is a privately held biotechnology company engineering nature to build next generation peptide therapeutics. By harnessing naturally occurring chemistry and pairing it with sophisticated high-throughput screening technology, we will unlock the future of de novo drug design via curated data creation and model training.  

Role 

FL121 is seeking a talented and highly motivated Director (Data Science/ Machine Learning). We're looking for a resourceful computational problem solver and agile leader, someone who is not only scientifically rigorous and accountable for their and their team's work, but also has a high EQ and is a motivating force within cross-functional teams. The ideal candidate brings a track record of building computationally strong data environments, developing predictive models based upon internal and external databases, driving results in a fast paced and demanding environment, and enabling others to do their best work, all while communicating with clarity and empathy. 

Key Responsibilities 

  • Pioneer and lead computational efforts for FL121's platform science
  • Develop a data-framework and database for tracking DNA translation to chemistry, and chemistry to drug-characteristics in partnership with platform team
  • Strategically map out chemical representation optionality and develop framework for platform chemistry that can scale with data
  • Lead base-case chemical prediction models that can scale with data and forecast and scope data needs to enable models to have strong predictive power
  • Build and support computational capabilities to unlock de-novo mass spec deconvolution models
  • Integrate computational efforts across all platform workstreams to create a cohesive data-collection and integration workplace
  • Serve as a cross-functional program lead, guiding interdisciplinary teams of computational scientists, mass-spec scientists, medicinal chemists, and synthetic biologists toward shared goals.
  • Communicate computational goals, progress, and key decisions clearly across audiences, from scientists to executives, tailoring messaging with clarity and intention.
  • Build and manage budgets, thoughtfully allocating in-house and external resources to maximize impact while remaining cost-conscious and efficient.
  • Serve as a trusted, people-first leader fostering a collaborative, psychologically safe team environment that supports the scientific and personal development of team members.
  • Lead with authenticity and transparency, encouraging open dialogue, surfacing diverse perspectives, and engaging in courageous conversations when needed. 

Professional Experience and Qualifications 

  • Masters or PhD in a relevant field (e.g., computational chemistry, machine learning, data science, etc) with 10+ years' experience in scientific/engineering/computational settings in biotechnology settings; industry AI/ML experience preferred  
  • Experience driving results directly or indirectly through teams of scientists and engineers in varied technical environments
  • Depth across multiple core tools and concepts, including, Python, modern ML frameworks (RDKit, scikit-learn, Chemprop, etc), version control, databases, deep learning architectures, and relevant informatics software (AWS, Seqera, Benchling, etc)
  • Demonstrated success as a team-oriented leader who motivates others and builds strong, trust-based relationships across functions 
  • Proven ability to lead complex, cross-functional programs balancing scientific vision with disciplined execution and strategic resource management 
  • Track record of intellectual agility and curiosity, with an ability to adapt quickly, think critically, and lead through ambiguity. 
  • Strong emotional intelligence, with demonstrated maturity in navigating interpersonal dynamics, providing feedback, and supporting the growth of PhD and non-PhD scientists. 
  • Exceptional communication skills, both written and verbal, with a consistent ability to convey complex ideas clearly and succinctly to diverse stakeholders.
  • A people-first, enterprise-minded approach that uplifts others, builds cohesion, and drives a culture of collaboration and accountability.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

The salary range for this role is $232,000 - $319,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. FL121 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL121's good faith estimate as of the date of publication and may be modified in the future.

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