Talent.com

Data scientist Jobs in Summerside, PE

Create a job alert for this search

Data scientist • summerside pe

Last updated: 4 hours ago

Remote Materials Scientist / Engineer

Micro1Summerside, Prince Edward Island, CA
CA$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 Entry Product Support - $45 Per Hour - No Experience

OCPASummerside, Prince Edward Island, CA
CA$45.00 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

 • New!

Pharmacy Assistant I - FT

SobeysSummerside, Prin, CA
Full-time

Embark on a rewarding career with Sobeys Inc.Canada’s Top 100 employers, where your talents contribute to our commitment to excellence and community impact.We are a market leader in grocery and pha... Show more

Remote Physics Expert (PhD)

Micro1Summerside, Prince Edward Island, CA
CA$80.00 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

Data Labeling Specialist: Remote Contract

WorkadaSummerside, Prince Edward Island, ca
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

Forex & Crypto Trader – Remote - Entry Level

Maverick FXSummerside, Prince Edward Island
Remote
Full-time

Maverick Currencies is a proprietary trading firm that has been funding and developing traders since 1997.We provide capital, structured training, and ongoing mentorship — so you trade our mo... Show more

Remote Statistics Expert (PhD)

Micro1Summerside, Prince Edward Island, CA
CA$90.00 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

Data Entry Product Support - No Experience

OCPASummerside, Prince Edward Island, CA
CA$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

 • New!
People also ask
Remote Materials Scientist / Engineer

Remote Materials Scientist / Engineer

Micro1Summerside, Prince Edward Island, CA
7 hours ago
Salary
CA$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.