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Data Annotation Research Jobs in Massachusetts (NOW HIRING)

Staff Front End Engineer

Boston, MA ยท On-site +1

$172K - $229K/yr

Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to ... Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a ...

Staff Front End Engineer

Boston, MA ยท On-site

$172K - $229K/yr

Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to ... Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a ...

Staff Front End Engineer

Boston, MA ยท On-site +1

$172K - $229K/yr

Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to ... Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a ...

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ... Demonstrated ability to translate research concepts into prototype and production-quality software ...

Staff AI/ML Engineer

Westford, MA ยท On-site

$99K - $198K/yr

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ... Demonstrated ability to translate research concepts into prototype and production-quality software ...

Staff AI/ML Engineer

Westford, MA ยท On-site

$99K - $198K/yr

Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development ... Demonstrated ability to translate research concepts into prototype and production-quality software ...

$106K - $159K/yr

... data ingestion, QC, normalization, batch correction, feature extraction, and annotation from mass ... research programs. Document pipelines and analyses to ensure reproducibility, compliance, and ...

Showing results 41-60

Data Annotation Research information

What are some common challenges faced in data annotation research roles, and how can they be addressed?

Professionals in Data Annotation Research often encounter challenges such as maintaining consistency in labeling, dealing with ambiguous data, and managing large datasets efficiently. These issues can be addressed by following detailed annotation guidelines, participating in regular calibration sessions with the team, and utilizing annotation tools that support quality control checks. Collaboration with data scientists and project managers is essential to clarify ambiguities and ensure that annotated data meets the project's requirements. Staying proactive in communication and continuous learning helps to minimize errors and improve overall data quality.

What is the difference between Data Annotation Research vs Data Labeling Specialist?

AspectData Annotation ResearchData Labeling Specialist
CredentialsTypically requires a background in data science, research methods, or related fieldsOften requires basic technical skills and experience with labeling tools
Work EnvironmentResearch labs, tech companies, or remote research teamsData centers, tech companies, or remote labeling teams
Industry UsageUsed in AI/ML research, developing annotation methodologiesUsed in preparing datasets for machine learning models
Search & Comparison IntentUnderstanding research-focused roles in data annotationLooking for practical data labeling jobs

Data Annotation Research involves exploring new annotation techniques and improving data quality for AI models, often requiring research skills. In contrast, Data Labeling Specialists focus on applying existing labeling tools to annotate datasets efficiently. Both roles are essential in AI development but differ in scope and expertise.

What is data annotation research?

Data annotation research involves studying and developing methods for labeling data, such as images, text, or audio, to be used in training machine learning models. Researchers in this field focus on improving annotation accuracy, efficiency, and scalability, as well as addressing challenges like bias and consistency. This work is critical because high-quality annotated data is essential for building effective AI systems. Data annotation research often includes exploring new tools, techniques, and guidelines for human annotators or automated labeling systems.

What are the key skills and qualifications needed to thrive as a data annotation researcher, and why are they important?

To thrive as a Data Annotation Researcher, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a degree in computer science, linguistics, or a related field. Experience with annotation platforms, data management tools, and sometimes knowledge of programming languages like Python are typically required. Excellent communication, problem-solving abilities, and the capacity to work independently set standout contributors apart. These skills ensure high-quality, accurate data labeling, which is crucial for developing reliable AI and machine learning models.

What are popular job titles related to Data Annotation Research jobs in Massachusetts?

For Data Annotation Research jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Annotation Research jobs in Massachusetts look for?

The top searched job categories for Data Annotation Research jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Annotation Research jobs?

Cities in Massachusetts with the most Data Annotation Research job openings:

Infographic showing various Data Annotation Research job openings in Massachusetts as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Staff Front End Engineer

Motional

Boston, MA โ€ข On-site, Remote

$172K - $229K/yr

Full-time

Posted 26 days ago


Job description

Mission Summary:
Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team. This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.

What You'll Be Doing:

  • Drive cross-team standards and best practices for web development
  • Own cross team collaboration, ensuring deliveries are made on time and effectively
  • Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
  • Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
  • Build mission-critical UI systems used by a variety of internal customers.
  • Design initiative experiences for complex, data-heavy workflows.
  • Drive best practices around performance, scalability and maintainability
  • Ship quickly and iterate in a product driven environment.

What We're Looking For:

  • Desire to design and build user-facing visual applications, and a passion for good UX.
  • Strong proficiency in React, Typescript and modern frontend architecture
  • Proficiency in Vue
  • Strong product sense with a focus on UX and usability.
  • Ability to work with high ownership and autonomy.
  • Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
  • Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
  • A well-established technical design and documentation habit
  • Capability to work directly with customers to identify foundational needs and provide solutions.

Bonus Points (not required):

  • Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
  • A love for the continuous delivery of value.
  • Exposure to backend systems (Node, Python)
  • Experience in Game Development or 3D Visualization


We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$172,000—$229,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.