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Remote Data Annotation Jobs in Issaquah, WA (NOW HIRING)

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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

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

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

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

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

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 ...

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Remote Data Annotation information

What is remote data annotation?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What does a remote data annotation specialist do?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.

What are the key skills and qualifications needed for remote data annotation?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

How much do remote data annotation jobs pay?

Remote data annotation jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses for high accuracy and efficiency.

What is the best remote data annotation company to work for?

Remote data annotation jobs are offered by various companies, including industry leaders like Appen, Lionbridge, and Scale AI, which provide flexible schedules and require attention to detail. The best company depends on factors such as pay, work environment, and project types, so researching reviews and job requirements can help identify suitable opportunities.

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

The top searched job categories for Remote Data Annotation jobs in Issaquah, WA are:

What cities near Issaquah, WA are hiring for Remote Data Annotation jobs?

Cities near Issaquah, WA with the most Remote Data Annotation job openings:

Infographic showing various Remote Data Annotation job openings in Issaquah, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Data & AI Program Manager (Remote)

Redmond, WA • Remote

Cyborg Mobile
Business Management Consulting • 11 - 50 employees

Full-time

Posted yesterday

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