ZipRecruiter

Log In

2

Data Labeler Remote Jobs in Renton, WA (NOW HIRING)

Theodora

Founding Marketing Lead

Seattle, WA · On-site +1

... with labels that don't say much. Our founder felt like there were only two options: become a ... Analytical and data-driven, confident driving metrics and iterating quickly ( the founder comes ...

Theodora

Founding Marketing Lead

Seattle, WA · Remote

... with labels that don't say much. Our founder felt like there were only two options: become a ... Analytical and data-driven, confident driving metrics and iterating quickly ( the founder comes ...

AfterShip

Agency Partner Manager

Seattle, WA · On-site +1

AfterShip unifies shipping & labels, order tracking, AI predictive delivery, and returns management ... This role reports to the Head of Partnerships and is remote, with a preference for candidates based ...

All JobsData Labeler Remote JobsData Labeler Remote Jobs in Renton, WA

Data Labeler Remote information

See Renton, WA salary details

$16

$43

$64

How much do data labeler remote jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for data labeler remote in Renton, WA is $43.51, according to ZipRecruiter salary data. Most workers in this role earn between $38.12 and $49.23 per hour, depending on experience, location, and employer.

Is data labelling a good career?

Data labeling is an entry-level role that involves annotating data for machine learning models, often requiring attention to detail and basic technical skills. It can provide a stepping stone into the tech industry, but it typically offers limited advancement opportunities and lower pay compared to other tech roles. Many workers use it as a temporary job or to gain experience in data-related fields.

What are the key skills and qualifications needed to thrive as a Data Labeler Remote, and why are they important?

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

How can I make 2000 a week working from home?

A remote data labeler can potentially earn around $2000 per week by working full-time hours, often requiring consistent effort, accuracy, and familiarity with labeling tools. Increasing earnings may involve taking on multiple projects, improving efficiency, or gaining specialized skills in data annotation. However, most remote data labeling jobs pay hourly or per task, so reaching this income level typically requires high productivity and experience.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How to make $1000 a week remote?

A remote data labeler can increase earnings by working multiple projects, improving efficiency, and gaining experience with popular tools like labeling platforms and annotation software. Earning $1000 weekly typically requires consistent full-time work, high-volume projects, or specialized skills that command higher pay rates. Building a strong reputation and seeking higher-paying opportunities can also help reach this income level.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

How much does a data labeler make?

Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Remote data labeling jobs often pay hourly or per project, with some roles offering additional benefits or flexible schedules.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

What job categories do people searching Data Labeler Remote jobs in Renton, WA look for? The top searched job categories for Data Labeler Remote jobs in Renton, WA are:
What cities near Renton, WA are hiring for Data Labeler Remote jobs? Cities near Renton, WA with the most Data Labeler Remote job openings:
Data Labeler Remote jobs near you
ML Engineers/Data Scientist

ML Engineers/Data Scientist

HonorVet Technologies

Seattle, WA • On-site, Remote

Other

Posted 12 days ago

Job description

Job Title: ML Engineers/Data Scientist
Location: Preferred Seattle OR Remote
Duration: 6+ Months Contract
Job Description:
  • We are seeking a highly skilled and motivated Natural Language Processing (NLP) Data Scientist with expertise in text classification, NLP preprocessing, prompt engineering, and Agentic AI. The ideal candidate will have a solid background in deep learning, large-scale NLP models, and the Hugging Face ecosystem, with hands-on experience fine-tuning BERT, GPT, and other transformer models.
  • You will be responsible for building cutting-edge NLP solutions, integrating with Large Language Models (LLMs), and applying prompt engineering techniques to optimize LLM performance. Experience working with cloud providers such as Azure OpenAI, AWS, and GCP is a plus.

Experience Range:
  • 5 to 8 years of relevant experience

Primary Duties & Responsibilities:
  • Research, design, and implement NLP algorithms with a focus on fine-tuning LLMs (BERT, GPT, and variants) for various NLP tasks, including text classification, entity recognition, summarization, and information retrieval.
  • Develop and optimize preprocessing pipelines for NLP tasks, including tokenization, stemming, lemmatization, and vectorization.
  • Design and implement prompt engineering techniques to enhance LLM adaptability for different business applications.
  • Build and deploy Agentic AI solutions that integrate LLMs with multi-step reasoning, workflow automation, and real-time decision-making.
  • Develop custom fine-tuning strategies to improve model accuracy for domain-specific tasks.
  • Collaborate with cross-functional teams to integrate fine-tuned NLP and AI agent solutions into products and services.
  • Analyze and interpret experimental results, applying iterative model improvements based on real-world data.
  • Stay updated with the latest advancements in NLP, generative AI, and agent-based architectures, incorporating emerging methodologies into the workflow.
  • Work with distributed computing environments and cloud platforms such as Azure OpenAI, AWS, and GCP to deploy and scale NLP models.
  • Guide and mentor peers on LLM fine-tuning best practices, AI-driven automation, and high-performance NLP architectures.

Knowledge, Skills & Abilities:
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
  • 3-5 years of professional experience in NLP, AI, or Data Science roles.
  • Strong understanding of text classification, information extraction, document understanding, and sequence labeling.
  • Hands-on experience with Hugging Face Transformers, BERT, GPT, and other modern NLP models.
  • Proficiency in Python, TensorFlow, PyTorch, and relevant NLP libraries.
  • Solid experience in NLP data preprocessing techniques, including tokenization, lemmatization, and vectorization.
  • Expertise in prompt engineering techniques for improving LLM performance.
  • Familiarity with Agentic AI concepts, enabling AI agents to make independent decisions in complex workflows.
  • Strong knowledge of cloud computing platforms (Azure OpenAI, AWS, GCP) and containerized deployment (Docker, Kubernetes).
  • Experience with version control (Git), CI/CD, and software engineering best practices.
  • Ability to analyze large-scale datasets, derive insights, and optimize NLP model performance.
  • Excellent communication skills and ability to collaborate with cross-functional teams
HonorVet Technologies logo

About HonorVet Technologies

Sourced by ZipRecruiter

HonorVet Technologies, located in Fairfield, NJ, US, is a technology-driven company with a unique dimension - enhancing veteran engagement in the workforce. Founded with the goal of supporting and preserving professional veterans while satisfying the IT and professional needs of businesses, HonorVet Technologies brings a particular focus to diversity and veteran hiring, making it a standout player in the IT and Staffing industries. Functioning as a veteran-driven community entity, the firm offers IT staffing, bespoke development, and consulting services, with the aim of connecting talents with IT-related job opportunities.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Fairfield , NJ, US

Year founded

2015

View All HonorVet Technologies Jobs

Apply