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Remote Material Science Postdoc Jobs in Cold Spring Harbor, NY

Iff

Senior Scientist, Fragrances (Body Care)

New York, NY · On-site +1

$90K - $120K/yr

Scent: Harnessing the full emotional power of scent, driven by pioneering creativity, science ... The role is based across Holmdel, NJ (on-site 3x a week, 1 remote) with the expectation of a day in ...

IQVIA

Senior Data Team Lead (Remote)

New York, NY · Remote

$86K - $217K/yr

Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ... Any false statements, misrepresentations, or material omissions during the recruitment process will ...

IQVIA

Senior Data Team Lead (Remote)

New York, NY · Remote

$86K - $217K/yr

Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ... Any false statements, misrepresentations, or material omissions during the recruitment process will ...

YO AI Labs

Hematology Expert - Remote

New York, NY · Remote

Hematology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze clinical study reports, safety reports, regulatory documents, and trial materials to assess ...

YO AI Labs

GIS/Geospatial Expert

New York, NY · Remote

Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their ... Science . No prior AI training experience is required. What matters most is your ability to apply ...

OXMAN

Senior Software Engineer

New York, NY · On-site +1

$134K - $176K/yr

Working across disciplines--from architecture and ecology to computation and materials science--we ... Integration of geospatial datasets, GIS data, remote sensing data, and environmental models into ...

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All JobsMaterial Science Postdoc JobsRemote Material Science Postdoc JobsRemote Material Science Postdoc Jobs in Cold Spring Harbor, NY

Remote Material Science Postdoc information

See Cold Spring Harbor, NY salary details

$37.6K

$75.6K

$98.9K

How much do remote material science postdoc jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote material science postdoc in Cold Spring Harbor, NY is $75,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $88,900.00 per year, depending on experience, location, and employer.

What is the difference between Remote Material Science Postdoc vs Remote Materials Engineer?

AspectRemote Material Science PostdocRemote Materials Engineer
Required CredentialsPhD in Material Science or related fieldBachelor's or Master's in Materials Engineering or related
Work EnvironmentResearch-focused, academic or lab setting, remote options availableIndustry-focused, product development, remote or hybrid options
Employer & Industry UsageUniversities, research institutes, some industry R&DManufacturing, aerospace, electronics, and related industries

The main difference is that Remote Material Science Postdocs are primarily involved in research and academic projects, often requiring a PhD, while Remote Materials Engineers focus on applying material science principles to develop products and solutions in industry, typically with a bachelor's or master's degree. Both roles may be remote, but their core responsibilities and work environments differ significantly.

What job categories do people searching Remote Material Science Postdoc jobs in Cold Spring Harbor, NY look for?

The top searched job categories for Remote Material Science Postdoc jobs in Cold Spring Harbor, NY are:

What cities near Cold Spring Harbor, NY are hiring for Remote Material Science Postdoc jobs?

Cities near Cold Spring Harbor, NY with the most Remote Material Science Postdoc job openings:

Remote Material Science Postdoc jobs near you
Infographic showing various Remote Material Science Postdoc job openings in Cold Spring Harbor, NY as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $75,625 per year, or $36.4 per hour.

Technical Problem Author (Multi-Domain) - Remote

YO AI Labs

New York, NY • Remote

Full-time

Posted 12 days ago

Job description

Job Title: Technical Problem Author – Engineering

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Engineering Technical Problem Authors to contribute their technical expertise to a project focused on advancing next-generation AI systems in engineering. In this role, you will create and evaluate challenging, real-world technical problems and assess AI-generated engineering responses for accuracy, rigor, and practical relevance.

Your engineering knowledge will help improve how AI systems reason through complex technical problems, apply engineering principles, and communicate technically sound solutions. No prior AI experience is required—your domain expertise and technical judgment are what matter most.

Scope of Work
  • Author and evaluate advanced technical problems across areas such as Aerodynamics, Materials Science, CAD/Mechanical Design, Mechanical Engineering, Circuit Design, and related disciplines.
  • Review AI-generated technical responses for correctness, engineering accuracy, completeness, and practical relevance.
  • Apply engineering judgment to real-world design, analysis, troubleshooting, and failure scenarios as well as theoretical problem contexts.
  • Analyze complex technical issues, identify ambiguities, and recommend clarifications to problem statements, assumptions, and conditions.
  • Develop technically rigorous problems that test analytical reasoning, engineering principles, calculations, and design judgment.
  • Provide structured written feedback and clear explanations to improve AI-generated technical reasoning.
  • Collaborate remotely with technical experts and project participants to maintain high-quality deliverables.
  • Document technical insights, identified weaknesses, and recommendations to support continuous improvement of AI models and problem sets.
Required Skills
  • Mechanical Engineering
  • Aerodynamics
  • AutoCAD
  • Technical Problem Authoring
  • Engineering Analysis
  • Technical Documentation
  • Analytical Reasoning
  • Technical Review & Validation
  • Written and Verbal Communication
Preferred Qualifications
  • Advanced degree (MS or PhD) in a relevant engineering discipline, or substantial professional industry experience.
  • At least 5 years of hands-on technical experience in a relevant engineering field; deeper experience is preferred for Aerodynamics, Circuit Design, and Mechanical Engineering roles.
  • Demonstrated experience creating technically rigorous problems, such as through academic examinations, engineering competitions, licensure exams, standards committees, or technical assessment programs.
  • Experience with technical publications, patents, industry awards, competition results, committee participation, or other evidence of recognized technical expertise.
  • Professional-level English proficiency with excellent written and verbal communication skills.
  • Familiarity with industry-standard engineering tools such as AutoCAD, CAD software, CFD/FEA platforms, EDA tools, simulation software, or laboratory equipment relevant to your specialty.
  • Ability to work independently and remotely while consistently delivering high-quality technical content within project timelines.
Compensation Structure

Compensation is output-based, with experts paid per task that meets the applicable project specifications and quality standards. The time required to complete each task may vary depending on the expert's experience and workflow.

Minimum submission requirements apply, and selected experts are expected to complete a minimum number of tasks per week.

Start Timeline & Availability

Roles are typically filled within 48 hours. Selected experts should be prepared to begin their first assignments within 24–48 hours of completing onboarding.

If you are an experienced engineer with strong technical judgment and a passion for creating rigorous engineering problems, this is an opportunity to apply your expertise to the development of advanced AI systems.