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Remote Entry Level Data Annotation Jobs in Seattle, WA

Linguist

Redmond, WA · Remote

$40/hr

Remote - West Coast preferred Experience: 0-3 years Education: PhD in Linguistics required ... Write and revise guidelines for human annotation and other AI projects, including but not limited ...

Comfortable working independently in a remote environment * Interested in developing leadership ... Because entry-level shouldn't mean you're stuck at entry-level. Our goal is to develop individuals ...

Remote-eligible (may require occasional collaboration during Pacific time hours) Tools & Systems ... data to site go-live in PathFinder Experience Level Entry Level Job Type & Location This is a ...

Fire Exams Analyst, Senior

Seattle, WA · On-site +1

$55.19 - $64.25/hr

Classified Civil Service, Regular, Full-Time Remote Employment: Flexible/Hybrid Job Number: 2026 ... We develop and administer merit-based entry-level and promotional exams for the Seattle Fire and ...

Human Resources Specialist

Tacoma, WA · On-site +1

$74K - $115K/yr

Regular/Full-Time Remote Employment: Flexible/Hybrid Job Number: 744 Department: Human Resources ... Ensure HR data is accurate, complete, and maintained in accordance with recordkeeping requirements ...

Human Resources Specialist

Renton, WA · On-site +1

$73K - $97K/yr

Non-Represented Remote Employment: Flexible/Hybrid Job Number: 26-00132 Department: HRRM - Human ... Accurately input and maintain data into complex electronic databases. * Maintain electronic ...

Showing results 41-50

Remote Entry Level Data Annotation information

See Seattle, WA salary details

$13

$23

$35

How much do remote entry level data annotation jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for remote entry level data annotation in Seattle, WA is $23.03, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $24.90 per hour, depending on experience, location, and employer.

What is a remote entry level data annotation?

A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.

What are the key skills and qualifications needed to thrive as a remote entry level data annotation?

To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What are some common challenges faced by remote entry level data annotators, and how can they be managed?

Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.

What is the difference between Remote Entry Level Data Annotation vs Remote Data Labeling Specialist?

AspectRemote Entry Level Data AnnotationRemote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certifications required
Work EnvironmentRemote, flexible hoursRemote, often part-time or freelance
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Search IntentEntry-level data annotation jobsData labeling roles for AI projects

Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.

What are popular job titles related to Remote Entry Level Data Annotation jobs in Seattle, WA?

For Remote Entry Level Data Annotation jobs in Seattle, WA, the most frequently searched job titles are:

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

The top searched job categories for Remote Entry Level Data Annotation jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Entry Level Data Annotation jobs?

Cities near Seattle, WA with the most Remote Entry Level Data Annotation job openings:

Infographic showing various Remote Entry Level Data Annotation job openings in Seattle, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $47,909 per year, or $23 per hour.

Linguist

Redmond, WA • Remote

Experis
Recruiting and Staffing Services • 10K+ employees

$40/hr

Other

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

Title: Linguist / AI Research Linguist – Multilingual AI
Location: Remote – West Coast preferred
Experience: 0–3 years
Education: PhD in Linguistics required
Employment: Contract
Position Overview
We are seeking a Linguist / AI Research Linguist with a strong academic background in Linguistics and near native/native bilingual proficiency in a Dravidian or Indo-Aryan language. The ideal candidate will combine strong theoretical linguistic knowledge with practical experience in NLP, Python, linguistic data analysis, and AI/ML research.
This position will support multilingual AI research through linguistic analysis, AI model evaluation, annotation guidelines, Responsible AI research, vendor quality assessment, and collaboration with engineers and research scientists.
Main duties:
Perform linguistic analyses on large datasets.
Perform linguistic error analysis of AI model outputs, determining what the most frequent and severe error categories are.
Write and revise guidelines for human annotation and other AI projects, including but not limited to translation tasks.
Conduct typological and sociolinguistic research on a large number of languages, highlighting their similarities and differences.
Perform linguistic analyses for Responsible AI (toxic language, hate speech, gender bias and other cultural biases) in massively multilingual settings.
Conduct linguistic literature reviews on various NLP-adjacent topics, and summarize findings.
Compare the quality of deliveries between vendors, identify error patterns, and provide actionable feedback.
Provide information or guidance relative to any aspect of linguistic knowledge (typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, pragmatics, etc.).
Reach out to and collaborate with native speakers in various languages.
Communicate results of linguistic analyses to engineers and research scientists.
Skills:
Must have strong written and spoken communication skills, especially business and research communication.
Must have near-native or native bilingual proficiency in a language other than English, more specifically a language of the following families or groups: Dravidian or Indo-Aryan.
Working knowledge in other languages is a plus. Proficiency in a low-resource language is valued.
Must be able to code in Python (must) and query databases using SQL, other coding languages used for data analysis are a plus.
Must be able to independently work through complex requests and perform under pressure.
Strong ability to work independently, prioritize, plan, and track work, as well as report progress education or training in the basics of project management is a plus self-motivation is a must Working knowledge of international language-classification standards is valued.
Education:
Graduate degree in Linguistics or related field is a must; PhD is a plus a background or specialization in corpus linguistics is a plus experience with field work is a plus a graduate degree in Literature or English is not an appropriate substitution degree in Computer Science with a specialization in NLP is not an appropriate substitution Must have a very firm grasp of the following linguistic fields: language typology, syntax, morphology, sociolinguistics (especially dialectology and discourse analysis), corpus linguistics, writing systems, pragmatics, phonology.
Must have some experience with applying basic Natural Language Processing techniques.
Experience
Years of experience: 0-3
Experience working cross-functionally
Experience collaborating with machine learning, NLP, or software engineers, or data scientists Experience contributing to research papers
Important: Preferably no known conflicts of interest in the fields of machine translation, ASR, TTS, or LLM research (as FAIR Linguists need to be contributing to research papers)

If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

 

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Experis® is a global leader in technology services and part of the ManpowerGroup® (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought-after skills and take the next step toward a brighter future. Backed by ManpowerGroup's 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World's Most Ethical Companies. Learn more at Experis.com.