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Remote Entry Level Data Annotation Jobs in Everett, WA

Cyborg Mobile

Data & AI Program Manager

Redmond, WA · On-site +1

This is a remote position (Washington candidates preferred). What You'll Do * Conduct market and ... Design judgment guidelines and instructions for data annotation, validation, and quality control

New

YO AI Labs

AI Finance Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Finance Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Turing

Remote AI Quality Analyst - English

Seattle, WA · Remote

$25 - $30/hr

Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ... Experience in data annotation, AI quality evaluation, content moderation, or a related role is ...

YO AI Labs

Medical Coder - Remote

Seattle, WA · Remote

$50 - $80/hr

Remote Job Overview We are seeking experienced Medical Coders to contribute their healthcare coding ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

YO AI Labs

Medical Coder - Remote

Seattle, WA · Remote

$50 - $80/hr

Remote Job Overview We are seeking experienced Medical Coders to contribute their healthcare coding ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

YO AI Labs

English Language Expert - Remote

Seattle, WA · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced English Language Experts to support a high-impact AI ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

YO AI Labs

English Language Expert - Remote

Seattle, WA · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced English Language Experts to support a high-impact AI ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

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Remote Entry Level Data Annotation information

See Everett, WA salary details

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How much do remote entry level data annotation jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for remote entry level data annotation in Everett, WA is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $24.18 per hour, depending on experience, location, and employer.

What is a remote entry level data annotation?

A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.

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

To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What are some common challenges faced by remote entry level data annotators, and how can they be managed?

Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.

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

AspectRemote Entry Level Data AnnotationRemote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certifications required
Work EnvironmentRemote, flexible hoursRemote, often part-time or freelance
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Search IntentEntry-level data annotation jobsData labeling roles for AI projects

Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.

What job categories do people searching Remote Entry Level Data Annotation jobs in Everett, WA look for?

The top searched job categories for Remote Entry Level Data Annotation jobs in Everett, WA are:

What cities near Everett, WA are hiring for Remote Entry Level Data Annotation jobs?

Cities near Everett, WA with the most Remote Entry Level Data Annotation job openings:

Remote Entry Level Data Annotation jobs near you
Infographic showing various Remote Entry Level Data Annotation job openings in Everett, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $46,505 per year, or $22.4 per hour.

Data & AI Program Manager (Remote)

Redmond, WA • Remote

Cyborg Mobile
Business Management Consulting • 11 - 50 employees
Learn more about Cyborg Mobileexternal

Full-time

Posted 3 days ago

New

Job description

About the Role

We're hiring a Data & AI Program Manager to support a Fortune 100 technology company. This role sits at the intersection of data strategy and applied machine learning, owning the end-to-end data lifecycle that fuels natural language processing (NLP) applications and large language model (LLM) development. You'll define what "good data" looks like for a range of NLP use cases, build the guidelines and pipelines to get there, and partner closely with data engineering, data science, and ML teams to turn high-quality annotated data into measurable model performance gains.

This is a full-time W2 position. You would be employed by Cyborg Mobile but placed with our client working full-time there and reporting to a manager there. We're looking for someone who is a self-starter, self-sufficient, and able to execute with little direction. This is a remote position (Washington candidates preferred). **We are not interested in working with agencies at this time**

What You'll Do
  • Conduct market and user research to understand data needs and expectations across various NLP applications and domains
  • Define data specifications, scope, and sourcing strategy for each use case and domain
  • Design judgment guidelines and instructions for data annotation, validation, and quality control
  • Deliver datasets, schemas, guidelines, and annotations that meet approved specifications, scope, and sourcing requirements
  • Manage the end-to-end data annotation process
  • Analyze data quality metrics (accuracy, consistency, coverage, and diversity) and turn findings into actionable recommendations
  • Implement approved data quality improvement actions
  • Collaborate with client data engineers, data scientists, and machine learning engineers to integrate annotated data into production pipelines, support LLM fine-tuning, and evaluate model performance and impact
  • Identify data gaps and opportunities; propose new data sources, methods, and features to improve data quality and model outcomes
  • Communicate data vision, strategy, and results to internal and external stakeholders, including product owners, engineers, researchers, customers, and partners
  • Prepare and deliver data reports, presentations, and demos using client-approved formats and channels
What We're Looking For
  • Experience in NLP data strategy, annotation program management, or a related data quality/linguistics role
  • Strong understanding of data annotation workflows, guideline design, and inter-annotator quality control
  • Familiarity with LLM training/fine-tuning pipelines and how annotated data feeds model evaluation
  • Analytical mindset with the ability to translate quality metrics into concrete improvement plans
  • Excellent stakeholder communication skills comfortable presenting to both technical and non-technical audiences
  • Experience working in large, matrixed corporate environments 
Must Haves
  • Customer centric
  • Good with follow through 
  • Has skills to build Agents, PowerBI dashboards, Sharepoint list management, coding agents like Codex, Claude Code, Github copilot