Material Science Specialist (Masters/PhDs)
Alignerr, Boston, MA, United States
Material Science Specialist (AI Training)
What if your deep expertise in materials science could directly shape how AI reasons about semiconductors, molecular structures, and the physical world? We’re looking for Materials Science specialists — Masters and PhD level — to work with leading AI research teams, helping build models that genuinely understand complex scientific concepts.
This is a fully remote, flexible contract role designed for working researchers and subject‑matter experts. No AI background needed — just rigorous scientific knowledge and a sharp eye for accuracy.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You’ll Do
Develop, solve, and review advanced materials science problems with real‑world scientific relevance
Apply your expertise in semiconductor materials, molecular modeling, or related domains to design and evaluate complex problem statements
Assess the quality, rigor, and accuracy of AI‑generated scientific content and reasoning
Collaborate asynchronously with AI researchers and domain experts to strengthen model performance
Ensure scientific clarity, depth, and accuracy across all deliverables
Work independently on task‑based assignments at your own pace
Who You Are
Master’s or PhD in Materials Science, or a closely related field
Deep expertise in semiconductor materials, molecular modeling, or adjacent areas
Comfortable coding in Python or MATLAB for research or analytical tasks
Naturally detail‑oriented with high standards for scientific precision
Strong written communicator — able to explain complex concepts clearly and concisely
Fluent in English
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI training workflows
Background in computational materials science or simulation‑based research
Experience peer‑reviewing scientific work or writing technical documentation
Familiarity with AI tools or machine learning concepts as an end user
Why Join Us
Work on cutting‑edge AI projects alongside leading research labs and scientists
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, task‑based work
Contribute to AI development that advances scientific reasoning at a global scale
Potential for ongoing work and contract extension as new projects launch
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What if your deep expertise in materials science could directly shape how AI reasons about semiconductors, molecular structures, and the physical world? We’re looking for Materials Science specialists — Masters and PhD level — to work with leading AI research teams, helping build models that genuinely understand complex scientific concepts.
This is a fully remote, flexible contract role designed for working researchers and subject‑matter experts. No AI background needed — just rigorous scientific knowledge and a sharp eye for accuracy.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You’ll Do
Develop, solve, and review advanced materials science problems with real‑world scientific relevance
Apply your expertise in semiconductor materials, molecular modeling, or related domains to design and evaluate complex problem statements
Assess the quality, rigor, and accuracy of AI‑generated scientific content and reasoning
Collaborate asynchronously with AI researchers and domain experts to strengthen model performance
Ensure scientific clarity, depth, and accuracy across all deliverables
Work independently on task‑based assignments at your own pace
Who You Are
Master’s or PhD in Materials Science, or a closely related field
Deep expertise in semiconductor materials, molecular modeling, or adjacent areas
Comfortable coding in Python or MATLAB for research or analytical tasks
Naturally detail‑oriented with high standards for scientific precision
Strong written communicator — able to explain complex concepts clearly and concisely
Fluent in English
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI training workflows
Background in computational materials science or simulation‑based research
Experience peer‑reviewing scientific work or writing technical documentation
Familiarity with AI tools or machine learning concepts as an end user
Why Join Us
Work on cutting‑edge AI projects alongside leading research labs and scientists
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, task‑based work
Contribute to AI development that advances scientific reasoning at a global scale
Potential for ongoing work and contract extension as new projects launch
#J-18808-Ljbffr