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Machine Learning Data Associate Jobs in Hyannis, MA

Data Scanning Associate

South Yarmouth, MA ยท On-site

$17.25 - $22.50/hr

Research Associate Are you tired of being unsure how much your delivery/driver job will pay? Will ... Opportunities for employee learning and development. Come work for an essential business! We put an ...

Data Scanning Associate

Barnstable, MA ยท On-site

$17.25 - $22.50/hr

If you are the type of person who is self-motivated, enjoys working independently, data entry and ... Opportunities for employee learning and development. Come work for an essential business! We put an ...

Data Scanning Associate

Brewster, MA ยท On-site

$16.50 - $21.50/hr

If you are the type of person who is self-motivated, enjoys working independently, data entry and ... Opportunities for employee learning and development. Come work for an essential business! We put an ...

Data Scanning Associate

Hyannis, MA ยท On-site

$17 - $22/hr

If you are the type of person who is self-motivated, enjoys working independently, data entry and ... Opportunities for employee learning and development. Come work for an essential business! We put an ...

Data Scanning Associate

Vineyard Haven, MA ยท On-site

$19.25 - $25/hr

Opportunities for employee learning and development. Come work for an essential business! We put an emphasis on A.R.T = Accountability, Respect, Trust! Requirements: * At least 18 years of age.

Data Scanning Associate

Barnstable, MA ยท On-site

$17.25 - $22.50/hr

Opportunities for employee learning and development. Come work for an essential business! We put an emphasis on A.R.T = Accountability, Respect, Trust! What Does RDSolutions Require? * High school ...

Data Scanning Associate

East Falmouth, MA ยท On-site

$16.50 - $21.50/hr

Opportunities for employee learning and development. Come work for an essential business! We put an emphasis on A.R.T = Accountability, Respect, Trust! Requirements: * At least 18 years of age.

Data Scanning Associate

Brewster, MA ยท On-site

$16.50 - $21.50/hr

Opportunities for employee learning and development. Come work for an essential business! We put an emphasis on A.R.T = A ccountability, R espect, T rust! Requirements: * At least 18 years of age.

... learning and career development What's a typical day as Manufacturing Associate? You'll be: * Operating UV light imaging equipment, laser direct imaging systems, developing machines, and baking ovens ...

Stocking Team Associate

Wareham, MA ยท On-site

$17.50 - $30.50/hr

Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ... Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Stocking Team Associate

Teaticket, MA ยท On-site

$18 - $31/hr

Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ... Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Backroom Team Associate

Wareham, MA ยท On-site

$17.50 - $30.50/hr

Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ... Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

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Machine Learning Data Associate information

See Hyannis, MA salary details

$10

$19

$32

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 Hyannis, MA is $19.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $21.15 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 Hyannis, MA are hiring for Machine Learning Data Associate jobs?

Cities near Hyannis, MA with the most Machine Learning Data Associate job openings:

Infographic showing various Machine Learning Data Associate job openings in Hyannis, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $41,287 per year, or $19.8 per hour.

Software and Computer Engineer - Robotics, Machine Learning, and Embedded Systems

Whoi

Falmouth, MA โ€ข On-site

$113K - $148K/yr

Full-time

Posted 14 days ago


Job description

Job Summary

Job Description

Woods Hole Oceanographic Institution (WHOI) is seeking a highly skilled Software and Computer Engineer with expertise in robotics, machine learning, embedded systems, and Linux-based software development. The successful candidate will support the design, development, integration, testing, and deployment of advanced robotic and autonomous systems for maritime and field environments.

This role requires strong hands-on engineering skills, experience integrating software and hardware, and the ability to work in operational settings, including at-sea testing and deployment. The successful candidate must be eligible to obtain and maintain a U.S. security clearance.

Essential Duties & Responsibilities

  • Design, develop, test, and maintain software for robotic, autonomous, and intelligent systems.

  • Develop embedded software for real-time and resource-constrained platforms.

  • Build and maintain Linux-based software systems, drivers, services, and tools.

  • Integrate software with sensors, actuators, embedded controllers, robotic platforms, and mission systems.

  • Apply machine learning techniques to perception, autonomy, control, classification, navigation, and decision-support applications.

  • Develop, train, evaluate, and deploy machine learning models for robotics and maritime systems.

  • Support robotic system architecture, including autonomy stacks, middleware, communications, data pipelines, and control interfaces.

  • Perform software integration, debugging, verification, and validation in laboratory, field, and maritime environments.

  • Participate in at-sea testing, demonstrations, data collection, troubleshooting, and system deployment.

  • Collaborate with mechanical, electrical, ocean, robotics, and systems engineers.

  • Produce technical documentation, test plans, software specifications, design reviews, and operational procedures.

  • Support cybersecurity, reliability, safety, and security requirements for deployed systems.

  • Contribute to research, prototyping, and the transition of advanced technologies into operational systems.

Required Qualifications

  • Bachelor's degree in computer engineering, software engineering, electrical engineering, computer science, robotics, or a closely related technical field.

  • Ph.D. in robotics, machine learning, computer engineering, computer science, electrical engineering, autonomous systems, or a related field.

  • Significant demonstrated expertise in robotics, machine learning, embedded systems, or autonomous systems.

  • Strong proficiency in software development using languages such as C, C++, Python, or Rust.

  • Experience developing embedded software for microcontrollers, single-board computers, real-time systems, or hardware-integrated platforms.

  • Experience developing, configuring, and debugging software on Linux-based systems.

  • Familiarity with robotic systems, autonomy frameworks, sensor integration, communications, and control systems.

  • Experience with machine learning frameworks, model development, data processing, and performance evaluation.

  • Ability to work in laboratory, field, and maritime environments, including at-sea testing and deployment.

  • Ability to obtain and maintain a U.S. security clearance.

  • Strong analytical, debugging, communication, and technical documentation skills.

  • Ability to work independently and as part of a multidisciplinary technical team.

Preferred Qualifications

  • Ph.D. in robotics, machine learning, computer engineering, computer science, electrical engineering, autonomous systems, or a related field.

  • Experience with maritime robotics, autonomous underwater vehicles, unmanned surface vehicles, or other fielded robotic systems.

  • Experience with ROS, ROS 2, or similar robotics middleware.

  • Experience with real-time operating systems, embedded Linux, device drivers, communication protocols, or hardware-in-the-loop testing.

  • Experience with perception, computer vision, sensor fusion, navigation, localization, mapping, autonomy, human-robot interaction, or adaptive control.

  • Experience with sonar, lidar, radar, cameras, inertial sensors, GPS/GNSS, acoustic communications, or related sensing systems.

  • Experience deploying machine learning models on embedded or edge-computing platforms.

  • Familiarity with containerization, DevOps, CI/CD, Git-based workflows, and software configuration management.

Additional Job Requirements

Salary Range:$113,650- $148,216

The salary range provided for this position reflects the expected minimum and maximum base pay for new hires. Actual level placement and compensation will be determined based on factors such as relevant skills, experience, and qualifications, as well as internal equity and market conditions. In addition to base salary, eligible employees also receive a comprehensive benefits package.

WHOI accepts applications on a rolling basis - applications will be reviewed as they are received, and we encourage you to submit your application as soon as possible to ensure full consideration. While we will continue to review applications until the position is filled, and early applicants may have an advantage in the selection process.

EEO Statement

Woods Hole Oceanographic Institution (WHOI) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.