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Full Time Machine Learning Data Annotation Jobs in New Jersey

AvePoint is the global leader in data security, governance, and resilience, going beyond ... We are seeking an analytical and innovative Senior Machine Learning Analyst to join our Data & AI ...

AI Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

This role focuses on Generative AI, Large Language Models (LLMs), Prompt Engineering, Agentic AI systems, Machine Learning, Data Science, and AWS-based cloud engineering. The ideal candidate will ...

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... The target base salary range for this full-time, salaried position is between $109,400-$150,400 ...

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

You'll work closely with Software Engineers and Data scientists to streamline machine learning pipelines and implement best practices for managing and deploying ML models. What you'd be doing:

Data Scientist

Camden, NJ · On-site

$109K - $150K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... The target base salary range for this full-time, salaried position is between $109,400-$150,400 ...

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... The target base salary range for this full-time, salaried position is between $109,400-$150,400 ...

By applying expertise in machine learning, data visualization, and statistical methods, the team ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

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Full Time Machine Learning Data Annotation information

What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Data Annotation Specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What are Full Time Machine Learning Data Annotation jobs?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in New Jersey? The most popular types of Machine Learning Data Annotation jobs in New Jersey are:
What are popular job titles related to Full Time Machine Learning Data Annotation jobs in New Jersey? For Full Time Machine Learning Data Annotation jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in New Jersey look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in New Jersey are:

Machine Learning Engineer

Seven Seven Software

Newark, NJ • On-site

Full-time

Posted 19 days ago


Job description

• Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.
• Design and implement Machine learning models and data ingestion pipelines.
• Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models.
• Expand and optimize data pipelines, data flow, and collection for cross functional teams.
• Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements.
• Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
• Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources.
• Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs.
• Implement Machine Learning (ML) and Big Data platforms in Hybrid and multi-cloud environment specifically in AWS SageMaker environment
• Experience in container, streaming and messaging technologies is a plus
• Advanced proficiency with Python framework, Java and Scala
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
• Good understanding of mathematics, statistics, and algorithms.
• Excellent analytical and problem-solving abilities.
• Great communication and collaboration skills.
Job Requirements