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Intern Data Annotation Tech Jobs in Boston, MA (NOW HIRING)

IPG Photonics

Intern, Engineering

Marlborough, MA · On-site

$17.25 - $22.50/hr

... technology. The Engineering Intern will support the team by working with SBO crystal imaging data ... Interest in machine learning, data annotation, or computer vision concepts * Experience with MS ...

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 ... Driven to learn new technologies and deepen your expertise across frontend, backend, and data/ML ...

Ascensus

Data Analyst Intern

Newton, MA · On-site

$20/hr

Data Analyst Intern Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save ...

ASCENSUS

Data Analyst Intern

Newton, MA

$20/hr

Ascensus is the leading independent technology and service platform powering savings plans across ... The Data Analyst Intern will support the Retirement Operations team by helping transform data into ...

Ascensus, LLC.

Data Analyst Intern

Newton, MA · On-site

$20/hr

Ascensus is the leading independent technology and service platform powering savings plans across ... The Data Analyst Intern will support the Retirement Operations team by helping transform data into ...

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Intern Data Annotation Tech information

What are the key skills and qualifications needed to thrive as an Intern Data Annotation Tech, and why are they important?

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.

What are some common challenges faced by Intern Data Annotation Techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

What are Intern Data Annotation Techs?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

What are the most commonly searched types of Data Annotation Tech jobs in Boston, MA? The most popular types of Data Annotation Tech jobs in Boston, MA are:
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Intern Data Annotation Tech jobs near you
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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