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Flexible Data Annotation Analyst Jobs in Delaware

JPMorgan Chase & Co.

Manage and coach a team of Machine Learning Data Domain analysts to support data annotation and label data/content using annotation tools and analysis * Partner with leads in Data Science ...

New

ChristianaCare

Data Analyst

Wilmington, DE · On-site +1

$69K - $111K/yr

Leverage a variety of analytical tools to provide information that is flexible, responsive and nimble to changing business needs. The Christiana Care Data Analyst is responsible for: analysis ...

OneMain Financial

Data Science Analyst

Wilmington, DE · On-site

Data Science Analyst Locations: Wilmington, DE; Charlotte, NC (Hybrid) As an Data Science Analyst ... flexible work arrangements that grow lives, careers and our company. At every level, we're ...

OneMain Financial

Data Science Analyst

Wilmington, DE · Hybrid

Data Science Analyst Locations: Wilmington, DE; Charlotte, NC (Hybrid) As an Data Science Analyst ... flexible work arrangements that grow lives, careers and our company. At every level, we're ...

OneMain Financial

Analytics Analyst

Wilmington, DE · On-site

You are ready to launch your data analytics career. * You want to create solutions to help hard ... flexible work arrangements that grow lives, careers and our company. At every level, we're ...

OneMain Financial

Analytics Analyst

Wilmington, DE · On-site

You are ready to launch your data analytics career. * You want to create solutions to help hard ... flexible work arrangements that grow lives, careers and our company. At every level, we're ...

Best Egg

Product Data Scientist

Wilmington, DE · On-site

$85K - $100K/yr

Masters or PhD is preferred * 3+ years' experience analyzing data and delivering business insights ... and vision options Flexible Spending Plans for Health Care, Dependent Care, and Health ...

Best Egg

Product Data Scientist

Wilmington, DE

$85K - $100K/yr

Masters or PhD is preferred * 3+ years' experience analyzing data and delivering business insights ... Flexible Spending Plans for Health Care, Dependent Care, and Health Reimbursement Accounts · ...

Best Egg

Product Data Scientist

Wilmington, DE · On-site

$85K - $100K/yr

Masters or PhD is preferred * 3+ years' experience analyzing data and delivering business insights ... vision options • Flexible Spending Plans for Health Care, Dependent Care, and Health ...

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Flexible Data Annotation Analyst information

What is a flexible data annotation analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.

What are the key skills and qualifications needed to thrive as a flexible data annotation analyst?

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a flexible data annotation analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

Can I work as a flexible data annotation analyst with no experience?

Flexible data annotation analyst roles often do not require prior experience, as training is typically provided to teach the necessary skills and tools. Basic computer literacy and attention to detail are usually sufficient to start, making it accessible for beginners interested in data labeling tasks.

Do data annotation jobs offer flexible hours?

Data annotation jobs often offer flexible hours, allowing workers to choose when they complete tasks, especially in freelance or remote roles. However, some positions may have deadlines or specific schedules depending on the employer or project requirements.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, depending on the platform and complexity of tasks. Pay rates can vary based on experience, skill level, and the employer, but generally, it is not considered a high-paying role. Many positions are freelance or part-time, which can impact overall earnings.

Is it hard to get hired for a flexible data annotation analyst?

Getting hired as a flexible data annotation analyst generally depends on having basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the role accessible to a wide range of candidates. However, competition can vary based on the employer and location, and some roles may prefer candidates with prior experience or specific technical knowledge.

What are popular job titles related to Flexible Data Annotation Analyst jobs in Delaware?

For Flexible Data Annotation Analyst jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Flexible Data Annotation Analyst jobs in Delaware look for?

The top searched job categories for Flexible Data Annotation Analyst jobs in Delaware are:

What cities in Delaware are hiring for Flexible Data Annotation Analyst jobs?

Cities in Delaware with the most Flexible Data Annotation Analyst job openings:

Data Domain Architect Lead

On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

Other

Posted 3 days ago

New

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description

Machine Learning and Artificial Intelligence play a critical role in transforming Consumer and Community Banking Operations. The ability to utilize data in meaningful ways allows us to develop solutions which both our customers and employees can benefit from. Customers expect tailored servicing and Chase is looking to deliver personalization to meet their needs. This is powered by high-quality annotated data and detailed annotation schemes that are the backbone of impactful Artificial Intelligence/Machine Learning ( AI/ML)L algorithms and applications.

As a Data Domain Architect Lead within the Data Annotation team, you will use your domain expertise and people-leading experience to partner your team closely with teams in Data Science, Analytics, and Engineering to develop machine learning solutions. This will involve the collection, curation, annotation, enrichment, and validation of data and the development of taxonomies and other linguistic resources to help train machine learning models, drive insight, analysis, and possible content creation.

Job responsibilities

  • Manage and coach a team of Machine Learning Data Domain analysts to support data annotation and label data/content using annotation tools and analysis

  • Partner with leads in Data Science, Engineering, and Analytics to develop strategies to optimize training data for machine learning models
  • Lead efforts to identify patterns and trends in conversational data through Natural Language Processing and/or other computational linguistic approaches
  • Collaborate with stakeholders on evaluating the quality of machine learning classification and other output
  • Actively contribute to the team’s continuous learning mindset by bringing in new ideas and perspectives that stretch the thinking of the group
Required qualifications, capabilities, and skills
  • 6+ years of related experience in development of machine learning solutions
  • Familiar with industry annotation and labeling methods
  • Experience with various data modeling techniques and tools
  • Familiar with Finance and Banking products
  • Broad expertise in data technologies; i.e., data warehousing, data processing, data quality concepts, Business Intelligence tools and analytical tools, unstructured data, machine learning
  • Excellent analytical and problem-solving skills and the ability to pay close attention to detail
  • Experience using Python in working with and analyzing large real-world datasets
  • Working knowledge of information and data retrieval
  • Working knowledge of machine learning and artificial intelligence paradigms and libraries
  • Familiar with Large Language Models (LLMs) and prompt engineering
Preferred qualifications, capabilities, and skills
  • Masters or PhD in a related field, or Bachelors
  • Technical understanding of common relational database systems; i.e., Teradata and Oracle
  • Excellent command of the Structured Query Language (SQL)
  • Knowledge of SAS or Scala, and Python languages
  • Knowledge of Advanced Statistics
  • Advanced analytical thinking and problem-solving skills
  • Strong interpersonal & communication skills
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