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Data scientist Jobs in Everett, WA

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Last updated: 8 hours ago

Remote Materials Scientist / Engineer

Micro1Lake Stickney, Washington, US
$80.00 hourly
Remote
Full-time

Materials Scientist / Engineer.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare... Show more

 • New!

Director, AI, Analytics & Engineering

FortiveEverett, WA, United States
Full-time

Director, AI, Analytics & Engineering.Location: United States (3 days in the Everett office).Role Summary: The Director, AI, Analytics & Engineering leads the enterprise AI, data, analytics, and AI... Show more

Assistant Director III - Technology Support, Job 26-0087 DO

Mukilteo School DistrictEverett, WA, United States
Full-time

The content you submit, offer, contribute, attach, post, or display (each a "Submission") will be viewed by other users of the service who may or may not be accurately representing who they are or ... Show more

Data Entry Product Support - No Experience

GLOCPAEverett, Washington
$15.00 hourly
Part-time +1

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of bet... Show more

Remote Data-Video Generalist (US-based)

Micro1Snohomish, Washington, US
$13.00 hourly
Remote
Full-time

Data-Video Generalist (US-based).IMU (Inertial Measurement Unit).AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across d... Show more

CIAIO Director, Enterprise Platforms & Business Systems

Karman Space & DefenseMukilteo, WA, United States
Full-time

Director, Enterprise Platforms & Business Systems.The Director, Enterprise Platforms & Business Systems will lead Karman's enterprise business systems, ERP, corporate applications, and process-alig... Show more

 • New!

Remote Data Scientist

Micro1Martha Lake, Washington, US
$65.00 hourly
Remote
Full-time

AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more

Remote Materials Scientist / Engineer

Micro1Marysville, Washington, US
$80.00 hourly
Remote
Full-time

Materials Scientist / Engineer.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare... Show more

 • New!

LC-MS Principal Scientist

ActalentEverett, Washington, USA
Full-time +1

The LC-MS Principal Research Scientist serves as the primary scientific expert for pre-clinical GLP bioanalytical method development, validation, and sample analysis using triple quadrupole LC-MS/M... Show more

Remote Materials Scientist / Engineer

Micro1Martha Lake, Washington, US
$80.00 hourly
Remote
Full-time

Materials Scientist / Engineer.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare... Show more

 • New!

Data Center Technician

The Archetype StrategyEverett, WA, US
$22.00 hourly
Full-time
Quick Apply

Data Center Technician Position:  Data Center Technician Company:  The Archetype Strategy Pay: $22-$30 per hour based on experience Overview: The Archetype Strategy is seeking a detail-or... Show more

Data Labeling Specialist: Remote Contract

WorkadaEverett, Washington, us
Remote
Full-time

Evaluate outputs from AI models, text, images, video, and documents against detailed criteria.Assess quality, spot errors and inconsistencies, and write clear, well-reasoned justifications for your... Show more

Data Labeling Specialist: Remote Contract

WorkadaLake Stevens, Washington, us
Remote
Full-time

Evaluate outputs from AI models, text, images, video, and documents against detailed criteria.Assess quality, spot errors and inconsistencies, and write clear, well-reasoned justifications for your... Show more

Data and Program Support Coordinator

Cocoon HouseEverett, WA, United States
$27.00 hourly
Full-time

Program And Data Support Coordinator.Since 1991, Cocoon House has been committed and working towards breaking the cycle of homelessness for teens, young people and their families throughout Snohomi... Show more

Sr. Vehicle Maintenance Technician/DOT

FedExEverett, Washington, US
Full-time

Provides timely, quality maintenance for FedEx vehicle fleet and ground support equipment which requires preventative maintenance, troubleshooting, repairs, modifications, and documentation.Documen... Show more

Technical Project Manager - Data Center (Remote)

RM Staffing B.V.Everett, WA, US
Remote
Full-time

Clients need a single point of contact who actually understands hardware, not just a relationship manager who has to relay every technical question.Projects span hardware deployment, structured cab... Show more

Inventory Operations Analyst, Amazon Leo Fulfillment

Amazon Kuiper Manufacturing Enterprises LLCEverett, Washington, USA
Full-time

We are seeking a highly analytical, hands-on Operations Analyst to serve as the operational backbone of our LEO warehouse inventory functions.In this role, you will be the driving force behind iden... Show more

Scientist

ActalentEverett, Washington, USA
Full-time +1

The LC-MS Principal Research Scientist serves as the primary scientific expert for pre-clinical GLP bioanalytical method development, validation, and sample analysis using triple quadrupole LC-MS/M... Show more

Data and Applications Manager - Everett - Full Time

Compass HealthEverett, US
Full-time

Data and Applications Manager Location: IT (52570) FLSA Status: Exempt Supervisory Responsibilities: No Reports to: IT Program Director About the Role The Data a... Show more

Work from Home Data Entry Clerk

GL Inc.Martha Lake, Washington
$15.00 hourly
Remote
Part-time +1

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of bet... Show more

People also ask
Remote Materials Scientist / Engineer

Remote Materials Scientist / Engineer

Micro1Lake Stickney, Washington, US
8 hours ago
Salary
$80.00 hourly
Job type
  • Full-time
  • Remote
Job description
Materials Scientist / Engineer$80 - $130/hourpay

Required Skills

materials science expertisematerials characterizationtechnical literature reviewscientific data interpretationclear written and verbal communicationremote collaborationannotating technical datasetsscenario and case study developmentquality assurance in scientific deliverablesanalytical skills

About micro1

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Materials Scientist / Engineer


Role Type: Contractor


Location: Remote


micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering.
  2. Conduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields.
  3. Annotate and structure technical datasets with precise, detailed commentary and context to support AI model training.
  4. Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors.
  5. Provide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning.
  6. Review and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones.
  7. Collaborate remotely with other scientific contributors, leveraging digital tools and documentation practices.


Preferred Qualifications

  1. MS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization.
  2. Demonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing).
  3. Strong analytical skills and experience interpreting complex scientific data.
  4. Substantial experience conducting technical literature reviews and summarizing key findings.
  5. Proven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences.
  6. Experience with quality assurance and review of scientific documents or datasets.
  7. Familiarity with remote collaboration tools and digital knowledge-sharing environments.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.