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Data Annotation Tech Remote Jobs in Delaware (NOW HIRING)

ChristianaCare

Coder III -REMOTE

Newark, DE · On-site +1

Abstracts pertinent data, determines, and sequences codes for diagnoses and procedures, and enters ... Associate or Bachelor Science degree in Health Information Technology preferred. * An equivalent ...

ChristianaCare

Coder III- REMOTE

Newark, DE · On-site +1

Abstracts pertinent data, determines, and sequences codes for diagnoses and procedures, and enters ... Associate or Bachelor Science degree in Health Information Technology preferred. * An equivalent ...

Forbes Advisor

PPC Specialist (Remote)

Wilmington, DE · On-site +1

... Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor ... Utilize data driven analysis insights, identify opportunities, making recommendations for ...

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Data Annotation Tech Remote information

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company or project. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are popular job titles related to Data Annotation Tech Remote jobs in Delaware?

For Data Annotation Tech Remote jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech Remote jobs in Delaware look for?

The top searched job categories for Data Annotation Tech Remote jobs in Delaware are:

Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Director, Marketing Data Strategy (Remote)

Wilmington, DE • On-site, Remote

Forbes Advisor
See more jobs at Forbes Advisorexternal

Full-time

Re-posted 23 days ago

Job description

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
We're looking for a leader who wants to help build the future of marketing data strategy at Forbes Digital Marketing. Our Data & Analytics organisation sits at the heart of our mission. We build the products, platforms and intelligence that power marketing, commercial decision making, customer understanding and revenue growth across the business. As we continue to invest in first-party data, machine learning, marketing technology and AI, we're looking for a senior leader to help define the next phase of that journey.
This is not a traditional data leadership role. Working directly with the VP of Data Strategy, you'll act as a trusted technical counterpart - bringing deep expertise, challenging thinking, and helping shape strategic decisions across our marketing data ecosystem. You'll join an established leadership team spanning Engineering, Analytics, Data Science and Operations, helping define how customer data, marketing measurement, attribution, analytics and AI come together to improve business performance. You'll also act as a senior technical counterpart to key technology partners, helping ensure our strategy evolves alongside the wider marketing ecosystem.
If you're motivated by solving complex commercial problems, challenging conventional thinking, building products rather than projects, and helping organisations use data more effectively, we'd love to hear from you.
Responsibilities:
  • Marketing Measurement & Attribution: Help define how we measure marketing performance across channels and ensure that our measurement strategy enables better commercial decisions.
  • Customer Intelligence & First-Party Data: Help shape how customer data is collected, organised and activated across the business.
  • Marketing Platforms & Activation: Ensure our marketing platforms receive the right data to optimise effectively and maximise commercial performance.
  • Data Products & Decision Intelligence: Help move the organisation from one-off analysis towards reusable products and decision-support capabilities.
  • Strategic Leadership: Challenge assumptions and influence the future direction of our marketing data strategy.
  • Team Leadership & Capability Building: Play an important role in building and developing the next generation of leaders across Data & Analytics.

Requirements:
We're deliberately not looking for someone who has done everything. Instead, you'll bring deep expertise in one or more of our strategic domains together with the ability to collaborate across the wider marketing data ecosystem.
You'll likely bring:
  • Experience leading strategic marketing data, customer intelligence, analytics or data product initiatives that delivered measurable business outcomes.
  • Deep expertise in at least one of the following:
  • Marketing measurement and attribution
  • Customer intelligence and first-party data
  • Applied data science and predictive modelling
  • Marketing platforms and activation
  • Data products and decision intelligence
  • A track record of building products, platforms or capabilities that deliver measurable commercial outcomes.
  • Deep understanding of Performance Marketing
  • Strong commercial judgement and the ability to prioritise initiatives based on business value.
  • Confidence influencing senior stakeholders across both technical and non-technical audiences.
  • Experience developing teams, coaching leaders and building organisational capability.
  • Curiosity about emerging technologies - particularly AI - and a pragmatic approach to applying them where they create genuine business value.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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