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Data Annotation Jobs in Gig Harbor, WA (NOW HIRING)

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

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

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

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

Data Interpretation * Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred Qualifications * Minimum 3 years of experience in private equity, venture capital ...

Data Interpretation * Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred Qualifications * Minimum 3 years of experience in private equity, venture capital ...

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

Execute Data labelling and annotation tasks across speech and voice datasets. * Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A FIT IF YOU'RE... * A ...

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Data Annotation information

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What are the most commonly searched types of Data Annotation jobs in Gig Harbor, WA?

The most popular types of Data Annotation jobs in Gig Harbor, WA are:

What job categories do people searching Data Annotation jobs in Gig Harbor, WA look for?

The top searched job categories for Data Annotation jobs in Gig Harbor, WA are:

What cities near Gig Harbor, WA are hiring for Data Annotation jobs?

Cities near Gig Harbor, WA with the most Data Annotation job openings:

Infographic showing various Data Annotation job openings in Gig Harbor, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Data Annotation Specialist - Seattle (On Site)

Welo Data

Seattle, WA

Full-time

Re-posted 9 days ago


Job description

OVERVIEW

Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.

Project Details
Job Title: Data Analyst
Location: Seattle (On-site)
Hours: Full-time, 40 hours per week
Start Date: November 2025
Employment Type: W2 Full-Time Employee

Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).

This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Key Responsibilities
  • Test new AI products and provide actionable feedback to improve functionality and user experience.
  • Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
  • Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
  • Analyze data for consistency, relevancy, and alignment with project goals.
  • Perform quality control to identify and report anomalies, error patterns, and discrepancies.
  • Use basic data analysis methods to extract insights and support continuous improvement.
  • Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Preferred Qualifications
  • University degree in linguistics, translation, or a related field.
  • 3-5 years of professional linguistics experience.
  • Strong analytical skills with the ability to detect patterns and anomalies.
  • Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
  • Adaptability to evolving priorities and project requirements.
Benefits
  • Paid Sick Time & Paid Holiday (combined): 15 days
  • Paid Holidays: Memorial Day and Labor Day
  • Medical Insurance (subject to eligibility requirements)
  • Dental Insurance
  • Vision Insurance
  • Health Savings Account (HSA)
  • Voluntary Life Insurance
  • Accident, Critical Illness, and Hospital Indemnity Insurance
  • Telemedicine Benefit
  • 401(k) Retirement Plan
  • Employee Assistance Program
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

To know more details (Click here)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.


As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.