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Material Science Specialist (Masters/PhDs)

Alignerr · Remote · Translation / linguistics

Material Science Specialist (Masters/PhDs) is an open role at Alignerr, available remotely, with pay listed as $75–$90/hr.

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Applications open on Alignerr’s own site. How we make money.

At a glance

Pay
$75–$90/hrStated by Alignerr
Location
Remote
Listed
Since Oct 4, last confirmed Oct 23

How the pay compares

This role$90
Alignerr median$75
Science / STEM roles median$80
All roles median$60

Higher than 55% of the 117 distinct hourly rates advertised for Science / STEM roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From Alignerr’s listing

“Material Science Specialist (AI Training) About the Role What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI reasons through the world's most complex scientific problems?”
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Material Science Specialist (AI Training) About the Role What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI reasons through the world's most complex scientific problems? We're looking for Materials Science specialists — Masters and PhD level — to help train and evaluate cutting-edge AI models on advanced scientific content. This is a fully remote, flexible contract role built for researchers and domain experts who want meaningful, intellectually engaging work on their own schedule. No prior AI experience needed — just rigorous scientific knowledge and a sharp eye for quality. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Develop, solve, and critically review advanced material science problems with real-world scientific relevance Apply your expertise in semiconductor materials, molecular modeling, or related specialisations to design complex, rigorous problem sets Evaluate AI-generated scientific reasoning and identify gaps in accuracy, depth, and logic Collaborate asynchronously with AI researchers and fellow domain experts to improve model performance Ensure scientific rigour, clarity, and depth across all deliverables Work independently on task-based assignments — fully on your own schedule Who You Are Master's or PhD in Materials Science or a closely related field Strong specialisation in semiconductor materials, molecular modeling, or equivalent research areas Comfortable coding in Python or MATLAB — whether from research, coursework, or projects Exceptionally clear written communicator who can translate complex science into precise, structured language Detail-oriented, self-motivated, and reliable when working independently Based in the U.S., Canada, U.K., Australia, or New Zealand Nice to Have Prior experience with data annotation, data quality assessment, or AI evaluation workflows Background in academic research, publishing, or technical writ

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Frequently asked questions

How do I apply for the Material Science Specialist (Masters/PhDs) role at Alignerr?

Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.

Is the Material Science Specialist (Masters/PhDs) role at Alignerr remote?

Yes - Alignerr lists this role as remote.

What does the Material Science Specialist (Masters/PhDs) role at Alignerr pay?

Alignerr lists this role's pay as $75–$90/hr, quoted from the listing rather than estimated.

What kind of work is Material Science Specialist (Masters/PhDs)?

Translation / linguistics. AI training, evaluation, coding, writing and specialist review

Is Alignerr a legitimate AI-training platform?

Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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