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

Annotate large datasets with accurate labels that will be used to train and validate AI models ... remote position. Application Deadline This position is anticipated to close on Aug 13, 2026. About ...

OEM Account Manager

Kirkland, WA · Remote

$110K - $150K/yr

... label systems. Markem-Imaje delivers fully integrated solutions that enable product quality and ... Ability to identify problems, collect data, establish facts, and draw valid conclusions. * Must be ...

OEM Account Manager

Seattle, WA · Remote

$110K - $150K/yr

... label systems. Markem-Imaje delivers fully integrated solutions that enable product quality and ... Ability to identify problems, collect data, establish facts, and draw valid conclusions. * Must be ...

Data Labeler Remote information

See Renton, WA salary details

$16

$43

$64

How much do data labeler remote jobs pay per hour?

As of Aug 24, 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.

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.

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

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.

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.

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.

How much does a data labeler remote make?

Remote data labelers typically earn between $12 and $20 per hour, depending on experience, complexity of tasks, and the company. Some positions may offer additional incentives or flexible schedules, but wages generally align with entry-level data annotation roles in the industry.

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail but typically has lower barriers to entry and limited career advancement without additional skills or certifications.

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 Annotation Specialist

TEKsystems

Seattle, WA • Remote

$20/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Description

TEKsystems Global Services is seeking meticulous and detail-oriented Data Annotators to support our AI and machine learning teams in developing and optimizing Artificial Intelligence solutions for diverse real-world problems. As a Data Annotator, you will play a crucial role in improving the performance and accuracy of our AI models by providing high-quality annotated data. Psychology Degree is a huge plus!

What You Will Be Doing:

Annotate large datasets with accurate labels that will be used to train and validate AI models.

Review data inputs and outputs to ensure consistency and quality of annotations..

Use annotation tools to mark up text, images, or other data according to specific guidelines.

Participate in the validation and quality assurance of annotated data to ensure it meets the required standards.

Assist in the development and refinement of annotation guidelines to improve data quality and annotation efficiency.

Provide feedback to improve the annotation tools and processes.

What We Need To See:

BA/BS degree; further education or certification in a relevant field is a plus.

Strong attention to detail and ability to work with large sets of data.

Relevant domain expertise.

Basic understanding of data annotation tools and processes.

Good communication skills and the ability to work effectively in a team.

Ability to follow complex instructions and adhere to specific data annotation guidelines.

Basic computer skills and familiarity with common software tools.

Skills

Data

Psychology Degree is a huge plus!

Top Skills Details

AI Data Annotation

Additional Skills & Qualifications

Ways To Stand Out From The Crowd:

Experience in data annotation or a related field.

Familiarity with AI and machine learning concepts.

Additional language skills, which are beneficial for multilingual data annotation projects.

Proven track record of handling confidential and sensitive information with integrity.

This role is ideal for individuals who are methodical, detail-oriented, and interested in contributing to the development of cutting-edge AI technologies. Join our team and help shape the future of AI applications across various industries.

Experience Level

Intermediate Level

Job Type & Location

This is a Contract position based out of Seattle, WA.

Pay and Benefits

The pay range for this position is $20.00 - $20.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Aug 13, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.


TEKsystems logo

About TEKsystems

Sourced by ZipRecruiter

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Hanover, MD, US