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Data Annotation Research Jobs in Boston, MA (NOW HIRING)

General Motors

Senior AI/ML Engineer

Boston, MA · On-site +1

$113.50K - $155.90K/yr

... data-annotation pipelines and machine-led training data solutions at foundation-model scale . We ... researchers . * Experience with computer vision , machine learning , or data-centric AI projects ...

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Data Annotation Research information

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 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 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 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.

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What cities near Boston, MA are hiring for Data Annotation Research jobs? Cities near Boston, MA with the most Data Annotation Research job openings:
Data Annotation Research jobs near you
Infographic showing various Data Annotation Research job openings in Boston, MA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Remote Mathematics AI Research Intern

Remote Mathematics AI Research Intern

DataAnnotation

Boston, MA • Remote

$40/hr

Internship

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

Job description

A data annotation company is seeking a Graduate Research Intern in Mathematics to improve AI chatbot models. Key responsibilities include providing complex mathematical problems for evaluation and assessing model outputs. Candidates should have fluency in English and proficiency in various math disciplines.

This position is remote with flexible hours, paying $40+ per hour, with additional bonuses for high-quality work. The role is open to applicants within the United States only. #J-18808-Ljbffr

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