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Freelance Machine Learning Data Annotation Jobs in Seattle, WA

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 ...

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ...

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

Experience with dataset annotation/labeling tools and workflows (Roboflow, Labelbox, CVAT, or ... Experience with continuous learning or active learning pipelines for production ML systems.

Experience with dataset annotation/labeling tools and workflows (Roboflow, Labelbox, CVAT, or ... Experience with continuous learning or active learning pipelines for production ML systems.

Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...

... Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning ...

... Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning ...

... Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning ...

... Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning ...

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills & years of experience for each:  1. Machine Learning & Applied AI Development (5-7 years) 2. Data ...

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Freelance Machine Learning Data Annotation information

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How much do freelance machine learning data annotation jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for freelance machine learning data annotation in Seattle, WA is $24.89, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $28.46 per hour, depending on experience, location, and employer.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are the key skills and qualifications needed to thrive as a freelance machine learning data annotation specialist?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

Can I work for freelance machine learning data annotation with no experience?

Freelance machine learning data annotation jobs often do not require prior experience, as many tasks involve simple labeling or categorization that can be learned quickly. Basic computer skills, attention to detail, and familiarity with annotation tools are helpful, and training is usually provided. However, building a portfolio or gaining some familiarity with data annotation platforms can improve job prospects.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Seattle, WA?

The most popular types of Machine Learning Data Annotation jobs in Seattle, WA are:

What are popular job titles related to Freelance Machine Learning Data Annotation jobs in Seattle, WA?

For Freelance Machine Learning Data Annotation jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Freelance Machine Learning Data Annotation jobs in Seattle, WA look for?

The top searched job categories for Freelance Machine Learning Data Annotation jobs in Seattle, WA are:

Data Annotation Specialist

TEKsystems c/o Allegis Group

Seattle, WA • On-site

$20/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


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.