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No Experience Machine Learning Data Annotation Jobs in Delaware

... machine learning/AI. * Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.

Previous projects or internship experience involving machine learning or AI (especially work with ... Experience with data preprocessing pipelines, and working with datasets relevant to language models ...

Previous projects or internship experience involving machine learning or AI (especially work with ... Experience with data preprocessing pipelines, and working with datasets relevant to language models ...

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No Experience Machine Learning Data Annotation information

What should I expect when collaborating with machine learning engineers as a data annotator with no prior experience?

As a data annotator working alongside machine learning engineers, you will play a vital role in preparing high-quality labeled data for model training. Engineers often provide clear guidelines and feedback on how to label or categorize data accurately, and they may hold regular check-ins to address questions and ensure consistency. While you may not need technical expertise, strong communication and attention to detail are essential, as your work directly impacts the performance of machine learning models. Over time, you’ll become familiar with annotation tools and may have the opportunity to take on more advanced tasks or quality assurance responsibilities.

What is a no experience machine learning data annotation job?

'No Experience Machine Learning Data Annotation' jobs are entry-level positions where individuals help label and categorize data used to train machine learning models. These roles do not require prior experience in data science or programming, making them accessible to beginners. Typical tasks may include tagging images, transcribing audio, or identifying objects in videos. These jobs are essential for improving the accuracy of AI systems and are often done remotely or on a flexible schedule.

What are the key skills and qualifications needed to thrive as a no experience machine learning data annotation specialist, and why are they important?

To succeed in a No Experience Machine Learning Data Annotation role, you need strong attention to detail, basic computer literacy, and the ability to follow precise instructions, often requiring at least a high school diploma. Familiarity with data labeling tools (like Labelbox or Supervisely) and experience with spreadsheet software are typically helpful, though many positions offer on-the-job training. Reliability, patience, and effective communication are valuable soft skills for maintaining quality and meeting deadlines. These skills ensure accurate, consistent data labeling, which is critical for training reliable machine learning models.

What is the difference between No Experience Machine Learning Data Annotation vs Data Labeling Specialist?

AspectNo Experience Machine Learning Data AnnotationData Labeling Specialist
Required CredentialsNo formal experience needed, training providedTypically similar, may require basic technical skills
Work EnvironmentRemote or office-based, repetitive tasksRemote or onsite, focused on data preparation
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, automotive, healthcare sectors
Search & Comparison IntentOften searched by beginners or entry-level job seekersCompared for skill requirements and job scope

Both roles involve labeling data for machine learning models, with minimal experience required. Data Labeling Specialists may have slightly more specialized tasks, but both are entry-level positions vital for AI development.

What are popular job titles related to No Experience Machine Learning Data Annotation jobs in Delaware?

For No Experience Machine Learning Data Annotation jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching No Experience Machine Learning Data Annotation jobs in Delaware look for?

The top searched job categories for No Experience Machine Learning Data Annotation jobs in Delaware are:

What cities in Delaware are hiring for No Experience Machine Learning Data Annotation jobs?

Cities in Delaware with the most No Experience Machine Learning Data Annotation job openings:

Infographic showing various No Experience Machine Learning Data Annotation job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Data Domain Architect [Multiple Positions Available]

PVH (Tommy Hilfiger/Calvin Klein)

Wilmington, DE • On-site

$140 - $190/hr

Other

Posted 9 days ago


PVH Corp. rating

6.3

Company rating: 6.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Data Domain Architect [Multiple Positions Available]

Design and optimize NLU and conversational AI for the Chase Digital Assistant. Lead intent/entity taxonomy, improve training datasets and model F1/intent recognition, conduct conversational analysis, guide annotation and evaluation, and collaborate with Product, Engineering, and Analytics to deploy and scale NLU capabilities and best practices.

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